Drive Profile README from your own code

curl -s "https://api.skillsafe.ai/v1/app-api/me" \
  -H "Authorization: Bearer YOUR_TOKEN"

import requests

TOKEN = "YOUR_TOKEN"
BASE = "https://api.skillsafe.ai/v1/app-api"
H = {"Authorization": f"Bearer {TOKEN}", "Content-Type": "application/json"}

r = requests.get(f"{BASE}/me", headers=H, timeout=30).json()
print(r["data"]["subject_type"], r["data"]["credits"])

const TOKEN = "YOUR_TOKEN";
const BASE = "https://api.skillsafe.ai/v1/app-api";
const H = { Authorization: `Bearer ${TOKEN}`, "Content-Type": "application/json" };

const r = await (await fetch(`${BASE}/me`, { headers: H })).json();
console.log(r.data.subject_type, r.data.credits);

package main

import ("bytes"; "encoding/json"; "fmt"; "net/http")

const base = "https://api.skillsafe.ai/v1/app-api"
const token = "YOUR_TOKEN"

func main() {
  req, _ := http.NewRequest("GET", base+"/me", nil)
  req.Header.Set("Authorization", "Bearer "+token)
  res, _ := http.DefaultClient.Do(req)
  defer res.Body.Close()
  var out map[string]any
  json.NewDecoder(res.Body).Decode(&out)
  fmt.Println(out["data"])
  _ = bytes.NewReader
}

var token = "YOUR_TOKEN";
var base = "https://api.skillsafe.ai/v1/app-api";
var http = java.net.http.HttpClient.newHttpClient();

var req = java.net.http.HttpRequest.newBuilder(java.net.URI.create(base + "/me"))
    .header("Authorization", "Bearer " + token).GET().build();
System.out.println(http.send(req, java.net.http.HttpResponse.BodyHandlers.ofString()).body());

require "net/http"
require "json"

TOKEN = "YOUR_TOKEN"
BASE = "https://api.skillsafe.ai/v1/app-api"

uri = URI("#{BASE}/me")
req = Net::HTTP::Get.new(uri)
req["Authorization"] = "Bearer #{TOKEN}"
res = Net::HTTP.start(uri.host, uri.port, use_ssl: true) { |h| h.request(req) }
puts JSON.parse(res.body)["data"]

<?php
$token = "YOUR_TOKEN";
$base  = "https://api.skillsafe.ai/v1/app-api";

$ch = curl_init("$base/me");
curl_setopt_array($ch, [CURLOPT_RETURNTRANSFER => true, CURLOPT_HTTPHEADER => ["Authorization: Bearer $token"]]);
print_r(json_decode(curl_exec($ch), true)["data"]);

using System.Net.Http.Headers;
using System.Text;

var token = "YOUR_TOKEN";
var baseUrl = "https://api.skillsafe.ai/v1/app-api";
using var http = new HttpClient();
http.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("Bearer", token);

Console.WriteLine(await http.GetStringAsync($"{baseUrl}/me"));

curl -s -X POST "https://api.skillsafe.ai/v1/app-api/estimate" \
  -H "Authorization: Bearer YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"task": "write", "name": "Priya Raman", "handle": "priya-raman", "tagline": "MSc student in data science, into forecasting and messy real-world data", "location": "Leeds, UK", "about": "I'\''m finishing an MSc in data science. I like turning messy public datasets into forecasts people can actually use, and I write up what I learn as I go.", "now": "a dissertation on forecasting bus delays from open transit data", "learning": "Rust, slowly, and better SQL", "ask_me": "pandas, time series, making sense of a CSV nobody documented", "fun_fact": "I'\''ve run a parkrun in 31 different parks", "stack": "Python, pandas, NumPy, scikit-learn, PyTorch, SQL, PostgreSQL, Jupyter, Plotly, Git, Docker", "projects": "busdelay - forecasts bus delays in Leeds from open GTFS feeds | https://github.com/priya-raman/busdelay\npriya-raman/tidy-council - cleans and joins UK council spending CSVs\nparkrun-stats: a notebook that charts my parkrun times by course", "notes": "I'\''m looking for a data internship from June.", "links": "LinkedIn, Email, Website (priyaraman.dev)", "tone": "friendly", "emoji": "on", "prescan": "{\"stack\":[\"Python\",\"pandas\",\"NumPy\",\"scikit-learn\",\"PyTorch\",\"SQL\",\"PostgreSQL\",\"Jupyter\",\"Plotly\",\"Git\",\"Docker\"],\"stack_groups\":[{\"label\":\"Languages\",\"items\":[\"Python\",\"SQL\"]},{\"label\":\"Data & ML\",\"items\":[\"pandas\",\"NumPy\",\"scikit-learn\",\"PyTorch\",\"Jupyter\",\"Plotly\"]},{\"label\":\"Databases\",\"items\":[\"PostgreSQL\"]},{\"label\":\"Cloud & DevOps\",\"items\":[\"Docker\"]},{\"label\":\"Tools\",\"items\":[\"Git\"]}],\"projects\":[{\"name\":\"busdelay\",\"has_link\":true,\"desc\":\"forecasts bus delays in Leeds from open GTFS feeds -\"},{\"name\":\"tidy-council\",\"has_link\":true,\"desc\":\"cleans and joins UK council spending CSVs\"},{\"name\":\"parkrun-stats\",\"has_link\":false,\"desc\":\"a notebook that charts my parkrun times by course\"}],\"link_services\":[\"LinkedIn\",\"Email\",\"Website\"],\"stats_cards\":[\"stats\",\"langs\"],\"warnings\":[]}"}'

import requests

TOKEN = "YOUR_TOKEN"
BASE = "https://api.skillsafe.ai/v1/app-api"
H = {"Authorization": f"Bearer {TOKEN}", "Content-Type": "application/json"}

body = {
  "task": "write",
  "name": "Priya Raman",
  "handle": "priya-raman",
  "tagline": "MSc student in data science, into forecasting and messy real-world data",
  "location": "Leeds, UK",
  "about": "I'm finishing an MSc in data science. I like turning messy public datasets into forecasts people can actually use, and I write up what I learn as I go.",
  "now": "a dissertation on forecasting bus delays from open transit data",
  "learning": "Rust, slowly, and better SQL",
  "ask_me": "pandas, time series, making sense of a CSV nobody documented",
  "fun_fact": "I've run a parkrun in 31 different parks",
  "stack": "Python, pandas, NumPy, scikit-learn, PyTorch, SQL, PostgreSQL, Jupyter, Plotly, Git, Docker",
  "projects": "busdelay - forecasts bus delays in Leeds from open GTFS feeds | https://github.com/priya-raman/busdelay\npriya-raman/tidy-council - cleans and joins UK council spending CSVs\nparkrun-stats: a notebook that charts my parkrun times by course",
  "notes": "I'm looking for a data internship from June.",
  "links": "LinkedIn, Email, Website (priyaraman.dev)",
  "tone": "friendly",
  "emoji": "on",
  "prescan": "{\"stack\":[\"Python\",\"pandas\",\"NumPy\",\"scikit-learn\",\"PyTorch\",\"SQL\",\"PostgreSQL\",\"Jupyter\",\"Plotly\",\"Git\",\"Docker\"],\"stack_groups\":[{\"label\":\"Languages\",\"items\":[\"Python\",\"SQL\"]},{\"label\":\"Data & ML\",\"items\":[\"pandas\",\"NumPy\",\"scikit-learn\",\"PyTorch\",\"Jupyter\",\"Plotly\"]},{\"label\":\"Databases\",\"items\":[\"PostgreSQL\"]},{\"label\":\"Cloud & DevOps\",\"items\":[\"Docker\"]},{\"label\":\"Tools\",\"items\":[\"Git\"]}],\"projects\":[{\"name\":\"busdelay\",\"has_link\":true,\"desc\":\"forecasts bus delays in Leeds from open GTFS feeds -\"},{\"name\":\"tidy-council\",\"has_link\":true,\"desc\":\"cleans and joins UK council spending CSVs\"},{\"name\":\"parkrun-stats\",\"has_link\":false,\"desc\":\"a notebook that charts my parkrun times by course\"}],\"link_services\":[\"LinkedIn\",\"Email\",\"Website\"],\"stats_cards\":[\"stats\",\"langs\"],\"warnings\":[]}"
}
r = requests.post(f"{BASE}/estimate", headers={**H}, json=body, timeout=120).json()
print(r["data"]["hold_credits"], r["data"]["model_alias"])

const TOKEN = "YOUR_TOKEN";
const BASE = "https://api.skillsafe.ai/v1/app-api";
const H = { Authorization: `Bearer ${TOKEN}`, "Content-Type": "application/json" };

const body = {
  "task": "write",
  "name": "Priya Raman",
  "handle": "priya-raman",
  "tagline": "MSc student in data science, into forecasting and messy real-world data",
  "location": "Leeds, UK",
  "about": "I'm finishing an MSc in data science. I like turning messy public datasets into forecasts people can actually use, and I write up what I learn as I go.",
  "now": "a dissertation on forecasting bus delays from open transit data",
  "learning": "Rust, slowly, and better SQL",
  "ask_me": "pandas, time series, making sense of a CSV nobody documented",
  "fun_fact": "I've run a parkrun in 31 different parks",
  "stack": "Python, pandas, NumPy, scikit-learn, PyTorch, SQL, PostgreSQL, Jupyter, Plotly, Git, Docker",
  "projects": "busdelay - forecasts bus delays in Leeds from open GTFS feeds | https://github.com/priya-raman/busdelay\npriya-raman/tidy-council - cleans and joins UK council spending CSVs\nparkrun-stats: a notebook that charts my parkrun times by course",
  "notes": "I'm looking for a data internship from June.",
  "links": "LinkedIn, Email, Website (priyaraman.dev)",
  "tone": "friendly",
  "emoji": "on",
  "prescan": "{\"stack\":[\"Python\",\"pandas\",\"NumPy\",\"scikit-learn\",\"PyTorch\",\"SQL\",\"PostgreSQL\",\"Jupyter\",\"Plotly\",\"Git\",\"Docker\"],\"stack_groups\":[{\"label\":\"Languages\",\"items\":[\"Python\",\"SQL\"]},{\"label\":\"Data & ML\",\"items\":[\"pandas\",\"NumPy\",\"scikit-learn\",\"PyTorch\",\"Jupyter\",\"Plotly\"]},{\"label\":\"Databases\",\"items\":[\"PostgreSQL\"]},{\"label\":\"Cloud & DevOps\",\"items\":[\"Docker\"]},{\"label\":\"Tools\",\"items\":[\"Git\"]}],\"projects\":[{\"name\":\"busdelay\",\"has_link\":true,\"desc\":\"forecasts bus delays in Leeds from open GTFS feeds -\"},{\"name\":\"tidy-council\",\"has_link\":true,\"desc\":\"cleans and joins UK council spending CSVs\"},{\"name\":\"parkrun-stats\",\"has_link\":false,\"desc\":\"a notebook that charts my parkrun times by course\"}],\"link_services\":[\"LinkedIn\",\"Email\",\"Website\"],\"stats_cards\":[\"stats\",\"langs\"],\"warnings\":[]}"
};
const r = await (await fetch(`${BASE}/estimate`, { method: "POST", headers: { ...H }, body: JSON.stringify(body) })).json();
console.log(r.data.hold_credits, r.data.model_alias);

package main

import ("bytes"; "encoding/json"; "fmt"; "net/http")

const base = "https://api.skillsafe.ai/v1/app-api"
const token = "YOUR_TOKEN"

func main() {
  payload := []byte(`{"task": "write", "name": "Priya Raman", "handle": "priya-raman", "tagline": "MSc student in data science, into forecasting and messy real-world data", "location": "Leeds, UK", "about": "I'm finishing an MSc in data science. I like turning messy public datasets into forecasts people can actually use, and I write up what I learn as I go.", "now": "a dissertation on forecasting bus delays from open transit data", "learning": "Rust, slowly, and better SQL", "ask_me": "pandas, time series, making sense of a CSV nobody documented", "fun_fact": "I've run a parkrun in 31 different parks", "stack": "Python, pandas, NumPy, scikit-learn, PyTorch, SQL, PostgreSQL, Jupyter, Plotly, Git, Docker", "projects": "busdelay - forecasts bus delays in Leeds from open GTFS feeds | https://github.com/priya-raman/busdelay\npriya-raman/tidy-council - cleans and joins UK council spending CSVs\nparkrun-stats: a notebook that charts my parkrun times by course", "notes": "I'm looking for a data internship from June.", "links": "LinkedIn, Email, Website (priyaraman.dev)", "tone": "friendly", "emoji": "on", "prescan": "{\"stack\":[\"Python\",\"pandas\",\"NumPy\",\"scikit-learn\",\"PyTorch\",\"SQL\",\"PostgreSQL\",\"Jupyter\",\"Plotly\",\"Git\",\"Docker\"],\"stack_groups\":[{\"label\":\"Languages\",\"items\":[\"Python\",\"SQL\"]},{\"label\":\"Data & ML\",\"items\":[\"pandas\",\"NumPy\",\"scikit-learn\",\"PyTorch\",\"Jupyter\",\"Plotly\"]},{\"label\":\"Databases\",\"items\":[\"PostgreSQL\"]},{\"label\":\"Cloud & DevOps\",\"items\":[\"Docker\"]},{\"label\":\"Tools\",\"items\":[\"Git\"]}],\"projects\":[{\"name\":\"busdelay\",\"has_link\":true,\"desc\":\"forecasts bus delays in Leeds from open GTFS feeds -\"},{\"name\":\"tidy-council\",\"has_link\":true,\"desc\":\"cleans and joins UK council spending CSVs\"},{\"name\":\"parkrun-stats\",\"has_link\":false,\"desc\":\"a notebook that charts my parkrun times by course\"}],\"link_services\":[\"LinkedIn\",\"Email\",\"Website\"],\"stats_cards\":[\"stats\",\"langs\"],\"warnings\":[]}"}`)
  req, _ := http.NewRequest("POST", base+"/estimate", bytes.NewReader(payload))
  req.Header.Set("Authorization", "Bearer "+token)
  req.Header.Set("Content-Type", "application/json")
  res, _ := http.DefaultClient.Do(req)
  defer res.Body.Close()
  var out map[string]any
  json.NewDecoder(res.Body).Decode(&out)
  fmt.Println(out["data"])
}

var token = "YOUR_TOKEN";
var base = "https://api.skillsafe.ai/v1/app-api";
var http = java.net.http.HttpClient.newHttpClient();

var body = "{\"task\": \"write\", \"name\": \"Priya Raman\", \"handle\": \"priya-raman\", \"tagline\": \"MSc student in data science, into forecasting and messy real-world data\", \"location\": \"Leeds, UK\", \"about\": \"I'm finishing an MSc in data science. I like turning messy public datasets into forecasts people can actually use, and I write up what I learn as I go.\", \"now\": \"a dissertation on forecasting bus delays from open transit data\", \"learning\": \"Rust, slowly, and better SQL\", \"ask_me\": \"pandas, time series, making sense of a CSV nobody documented\", \"fun_fact\": \"I've run a parkrun in 31 different parks\", \"stack\": \"Python, pandas, NumPy, scikit-learn, PyTorch, SQL, PostgreSQL, Jupyter, Plotly, Git, Docker\", \"projects\": \"busdelay - forecasts bus delays in Leeds from open GTFS feeds | https://github.com/priya-raman/busdelay\\npriya-raman/tidy-council - cleans and joins UK council spending CSVs\\nparkrun-stats: a notebook that charts my parkrun times by course\", \"notes\": \"I'm looking for a data internship from June.\", \"links\": \"LinkedIn, Email, Website (priyaraman.dev)\", \"tone\": \"friendly\", \"emoji\": \"on\", \"prescan\": \"{\\\"stack\\\":[\\\"Python\\\",\\\"pandas\\\",\\\"NumPy\\\",\\\"scikit-learn\\\",\\\"PyTorch\\\",\\\"SQL\\\",\\\"PostgreSQL\\\",\\\"Jupyter\\\",\\\"Plotly\\\",\\\"Git\\\",\\\"Docker\\\"],\\\"stack_groups\\\":[{\\\"label\\\":\\\"Languages\\\",\\\"items\\\":[\\\"Python\\\",\\\"SQL\\\"]},{\\\"label\\\":\\\"Data & ML\\\",\\\"items\\\":[\\\"pandas\\\",\\\"NumPy\\\",\\\"scikit-learn\\\",\\\"PyTorch\\\",\\\"Jupyter\\\",\\\"Plotly\\\"]},{\\\"label\\\":\\\"Databases\\\",\\\"items\\\":[\\\"PostgreSQL\\\"]},{\\\"label\\\":\\\"Cloud & DevOps\\\",\\\"items\\\":[\\\"Docker\\\"]},{\\\"label\\\":\\\"Tools\\\",\\\"items\\\":[\\\"Git\\\"]}],\\\"projects\\\":[{\\\"name\\\":\\\"busdelay\\\",\\\"has_link\\\":true,\\\"desc\\\":\\\"forecasts bus delays in Leeds from open GTFS feeds -\\\"},{\\\"name\\\":\\\"tidy-council\\\",\\\"has_link\\\":true,\\\"desc\\\":\\\"cleans and joins UK council spending CSVs\\\"},{\\\"name\\\":\\\"parkrun-stats\\\",\\\"has_link\\\":false,\\\"desc\\\":\\\"a notebook that charts my parkrun times by course\\\"}],\\\"link_services\\\":[\\\"LinkedIn\\\",\\\"Email\\\",\\\"Website\\\"],\\\"stats_cards\\\":[\\\"stats\\\",\\\"langs\\\"],\\\"warnings\\\":[]}\"}";
var req = java.net.http.HttpRequest.newBuilder(java.net.URI.create(base + "/estimate"))
    .header("Authorization", "Bearer " + token).header("Content-Type", "application/json")
    .POST(java.net.http.HttpRequest.BodyPublishers.ofString(body)).build();
System.out.println(http.send(req, java.net.http.HttpResponse.BodyHandlers.ofString()).body());

require "net/http"
require "json"

TOKEN = "YOUR_TOKEN"
BASE = "https://api.skillsafe.ai/v1/app-api"

uri = URI("#{BASE}/estimate")
req = Net::HTTP::Post.new(uri)
req["Authorization"] = "Bearer #{TOKEN}"
req["Content-Type"] = "application/json"
req.body = "{\"task\": \"write\", \"name\": \"Priya Raman\", \"handle\": \"priya-raman\", \"tagline\": \"MSc student in data science, into forecasting and messy real-world data\", \"location\": \"Leeds, UK\", \"about\": \"I'm finishing an MSc in data science. I like turning messy public datasets into forecasts people can actually use, and I write up what I learn as I go.\", \"now\": \"a dissertation on forecasting bus delays from open transit data\", \"learning\": \"Rust, slowly, and better SQL\", \"ask_me\": \"pandas, time series, making sense of a CSV nobody documented\", \"fun_fact\": \"I've run a parkrun in 31 different parks\", \"stack\": \"Python, pandas, NumPy, scikit-learn, PyTorch, SQL, PostgreSQL, Jupyter, Plotly, Git, Docker\", \"projects\": \"busdelay - forecasts bus delays in Leeds from open GTFS feeds | https://github.com/priya-raman/busdelay\\npriya-raman/tidy-council - cleans and joins UK council spending CSVs\\nparkrun-stats: a notebook that charts my parkrun times by course\", \"notes\": \"I'm looking for a data internship from June.\", \"links\": \"LinkedIn, Email, Website (priyaraman.dev)\", \"tone\": \"friendly\", \"emoji\": \"on\", \"prescan\": \"{\\\"stack\\\":[\\\"Python\\\",\\\"pandas\\\",\\\"NumPy\\\",\\\"scikit-learn\\\",\\\"PyTorch\\\",\\\"SQL\\\",\\\"PostgreSQL\\\",\\\"Jupyter\\\",\\\"Plotly\\\",\\\"Git\\\",\\\"Docker\\\"],\\\"stack_groups\\\":[{\\\"label\\\":\\\"Languages\\\",\\\"items\\\":[\\\"Python\\\",\\\"SQL\\\"]},{\\\"label\\\":\\\"Data & ML\\\",\\\"items\\\":[\\\"pandas\\\",\\\"NumPy\\\",\\\"scikit-learn\\\",\\\"PyTorch\\\",\\\"Jupyter\\\",\\\"Plotly\\\"]},{\\\"label\\\":\\\"Databases\\\",\\\"items\\\":[\\\"PostgreSQL\\\"]},{\\\"label\\\":\\\"Cloud & DevOps\\\",\\\"items\\\":[\\\"Docker\\\"]},{\\\"label\\\":\\\"Tools\\\",\\\"items\\\":[\\\"Git\\\"]}],\\\"projects\\\":[{\\\"name\\\":\\\"busdelay\\\",\\\"has_link\\\":true,\\\"desc\\\":\\\"forecasts bus delays in Leeds from open GTFS feeds -\\\"},{\\\"name\\\":\\\"tidy-council\\\",\\\"has_link\\\":true,\\\"desc\\\":\\\"cleans and joins UK council spending CSVs\\\"},{\\\"name\\\":\\\"parkrun-stats\\\",\\\"has_link\\\":false,\\\"desc\\\":\\\"a notebook that charts my parkrun times by course\\\"}],\\\"link_services\\\":[\\\"LinkedIn\\\",\\\"Email\\\",\\\"Website\\\"],\\\"stats_cards\\\":[\\\"stats\\\",\\\"langs\\\"],\\\"warnings\\\":[]}\"}"
res = Net::HTTP.start(uri.host, uri.port, use_ssl: true) { |h| h.request(req) }
puts JSON.parse(res.body)["data"]

<?php
$token = "YOUR_TOKEN";
$base  = "https://api.skillsafe.ai/v1/app-api";

$body = "{\"task\": \"write\", \"name\": \"Priya Raman\", \"handle\": \"priya-raman\", \"tagline\": \"MSc student in data science, into forecasting and messy real-world data\", \"location\": \"Leeds, UK\", \"about\": \"I'm finishing an MSc in data science. I like turning messy public datasets into forecasts people can actually use, and I write up what I learn as I go.\", \"now\": \"a dissertation on forecasting bus delays from open transit data\", \"learning\": \"Rust, slowly, and better SQL\", \"ask_me\": \"pandas, time series, making sense of a CSV nobody documented\", \"fun_fact\": \"I've run a parkrun in 31 different parks\", \"stack\": \"Python, pandas, NumPy, scikit-learn, PyTorch, SQL, PostgreSQL, Jupyter, Plotly, Git, Docker\", \"projects\": \"busdelay - forecasts bus delays in Leeds from open GTFS feeds | https://github.com/priya-raman/busdelay\\npriya-raman/tidy-council - cleans and joins UK council spending CSVs\\nparkrun-stats: a notebook that charts my parkrun times by course\", \"notes\": \"I'm looking for a data internship from June.\", \"links\": \"LinkedIn, Email, Website (priyaraman.dev)\", \"tone\": \"friendly\", \"emoji\": \"on\", \"prescan\": \"{\\\"stack\\\":[\\\"Python\\\",\\\"pandas\\\",\\\"NumPy\\\",\\\"scikit-learn\\\",\\\"PyTorch\\\",\\\"SQL\\\",\\\"PostgreSQL\\\",\\\"Jupyter\\\",\\\"Plotly\\\",\\\"Git\\\",\\\"Docker\\\"],\\\"stack_groups\\\":[{\\\"label\\\":\\\"Languages\\\",\\\"items\\\":[\\\"Python\\\",\\\"SQL\\\"]},{\\\"label\\\":\\\"Data & ML\\\",\\\"items\\\":[\\\"pandas\\\",\\\"NumPy\\\",\\\"scikit-learn\\\",\\\"PyTorch\\\",\\\"Jupyter\\\",\\\"Plotly\\\"]},{\\\"label\\\":\\\"Databases\\\",\\\"items\\\":[\\\"PostgreSQL\\\"]},{\\\"label\\\":\\\"Cloud & DevOps\\\",\\\"items\\\":[\\\"Docker\\\"]},{\\\"label\\\":\\\"Tools\\\",\\\"items\\\":[\\\"Git\\\"]}],\\\"projects\\\":[{\\\"name\\\":\\\"busdelay\\\",\\\"has_link\\\":true,\\\"desc\\\":\\\"forecasts bus delays in Leeds from open GTFS feeds -\\\"},{\\\"name\\\":\\\"tidy-council\\\",\\\"has_link\\\":true,\\\"desc\\\":\\\"cleans and joins UK council spending CSVs\\\"},{\\\"name\\\":\\\"parkrun-stats\\\",\\\"has_link\\\":false,\\\"desc\\\":\\\"a notebook that charts my parkrun times by course\\\"}],\\\"link_services\\\":[\\\"LinkedIn\\\",\\\"Email\\\",\\\"Website\\\"],\\\"stats_cards\\\":[\\\"stats\\\",\\\"langs\\\"],\\\"warnings\\\":[]}\"}";
$ch = curl_init("$base/estimate");
curl_setopt_array($ch, [
  CURLOPT_RETURNTRANSFER => true, CURLOPT_POST => true, CURLOPT_POSTFIELDS => $body,
  CURLOPT_HTTPHEADER => ["Authorization: Bearer $token", "Content-Type: application/json"],
]);
print_r(json_decode(curl_exec($ch), true)["data"]);

using System.Net.Http.Headers;
using System.Text;

var token = "YOUR_TOKEN";
var baseUrl = "https://api.skillsafe.ai/v1/app-api";
using var http = new HttpClient();
http.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("Bearer", token);

var body = new StringContent("{\"task\": \"write\", \"name\": \"Priya Raman\", \"handle\": \"priya-raman\", \"tagline\": \"MSc student in data science, into forecasting and messy real-world data\", \"location\": \"Leeds, UK\", \"about\": \"I'm finishing an MSc in data science. I like turning messy public datasets into forecasts people can actually use, and I write up what I learn as I go.\", \"now\": \"a dissertation on forecasting bus delays from open transit data\", \"learning\": \"Rust, slowly, and better SQL\", \"ask_me\": \"pandas, time series, making sense of a CSV nobody documented\", \"fun_fact\": \"I've run a parkrun in 31 different parks\", \"stack\": \"Python, pandas, NumPy, scikit-learn, PyTorch, SQL, PostgreSQL, Jupyter, Plotly, Git, Docker\", \"projects\": \"busdelay - forecasts bus delays in Leeds from open GTFS feeds | https://github.com/priya-raman/busdelay\\npriya-raman/tidy-council - cleans and joins UK council spending CSVs\\nparkrun-stats: a notebook that charts my parkrun times by course\", \"notes\": \"I'm looking for a data internship from June.\", \"links\": \"LinkedIn, Email, Website (priyaraman.dev)\", \"tone\": \"friendly\", \"emoji\": \"on\", \"prescan\": \"{\\\"stack\\\":[\\\"Python\\\",\\\"pandas\\\",\\\"NumPy\\\",\\\"scikit-learn\\\",\\\"PyTorch\\\",\\\"SQL\\\",\\\"PostgreSQL\\\",\\\"Jupyter\\\",\\\"Plotly\\\",\\\"Git\\\",\\\"Docker\\\"],\\\"stack_groups\\\":[{\\\"label\\\":\\\"Languages\\\",\\\"items\\\":[\\\"Python\\\",\\\"SQL\\\"]},{\\\"label\\\":\\\"Data & ML\\\",\\\"items\\\":[\\\"pandas\\\",\\\"NumPy\\\",\\\"scikit-learn\\\",\\\"PyTorch\\\",\\\"Jupyter\\\",\\\"Plotly\\\"]},{\\\"label\\\":\\\"Databases\\\",\\\"items\\\":[\\\"PostgreSQL\\\"]},{\\\"label\\\":\\\"Cloud & DevOps\\\",\\\"items\\\":[\\\"Docker\\\"]},{\\\"label\\\":\\\"Tools\\\",\\\"items\\\":[\\\"Git\\\"]}],\\\"projects\\\":[{\\\"name\\\":\\\"busdelay\\\",\\\"has_link\\\":true,\\\"desc\\\":\\\"forecasts bus delays in Leeds from open GTFS feeds -\\\"},{\\\"name\\\":\\\"tidy-council\\\",\\\"has_link\\\":true,\\\"desc\\\":\\\"cleans and joins UK council spending CSVs\\\"},{\\\"name\\\":\\\"parkrun-stats\\\",\\\"has_link\\\":false,\\\"desc\\\":\\\"a notebook that charts my parkrun times by course\\\"}],\\\"link_services\\\":[\\\"LinkedIn\\\",\\\"Email\\\",\\\"Website\\\"],\\\"stats_cards\\\":[\\\"stats\\\",\\\"langs\\\"],\\\"warnings\\\":[]}\"}", Encoding.UTF8, "application/json");
var res = await http.PostAsync($"{baseUrl}/estimate", body);
Console.WriteLine(await res.Content.ReadAsStringAsync());

curl -s -X POST "https://api.skillsafe.ai/v1/app-api/estimate" \
  -H "Authorization: Bearer YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"task": "revise", "name": "Priya Raman", "handle": "priya-raman", "tagline": "MSc student in data science, into forecasting and messy real-world data", "location": "Leeds, UK", "about": "I'\''m finishing an MSc in data science. I like turning messy public datasets into forecasts people can actually use, and I write up what I learn as I go.", "now": "a dissertation on forecasting bus delays from open transit data", "learning": "Rust, slowly, and better SQL", "ask_me": "pandas, time series, making sense of a CSV nobody documented", "fun_fact": "I'\''ve run a parkrun in 31 different parks", "stack": "Python, pandas, NumPy, scikit-learn, PyTorch, SQL, PostgreSQL, Jupyter, Plotly, Git, Docker", "projects": "busdelay - forecasts bus delays in Leeds from open GTFS feeds | https://github.com/priya-raman/busdelay\npriya-raman/tidy-council - cleans and joins UK council spending CSVs\nparkrun-stats: a notebook that charts my parkrun times by course", "notes": "I'\''m looking for a data internship from June.", "links": "LinkedIn, Email, Website (priyaraman.dev)", "tone": "friendly", "emoji": "on", "prescan": "{\"stack\":[\"Python\",\"pandas\",\"NumPy\",\"scikit-learn\",\"PyTorch\",\"SQL\",\"PostgreSQL\",\"Jupyter\",\"Plotly\",\"Git\",\"Docker\"],\"stack_groups\":[{\"label\":\"Languages\",\"items\":[\"Python\",\"SQL\"]},{\"label\":\"Data & ML\",\"items\":[\"pandas\",\"NumPy\",\"scikit-learn\",\"PyTorch\",\"Jupyter\",\"Plotly\"]},{\"label\":\"Databases\",\"items\":[\"PostgreSQL\"]},{\"label\":\"Cloud & DevOps\",\"items\":[\"Docker\"]},{\"label\":\"Tools\",\"items\":[\"Git\"]}],\"projects\":[{\"name\":\"busdelay\",\"has_link\":true,\"desc\":\"forecasts bus delays in Leeds from open GTFS feeds -\"},{\"name\":\"tidy-council\",\"has_link\":true,\"desc\":\"cleans and joins UK council spending CSVs\"},{\"name\":\"parkrun-stats\",\"has_link\":false,\"desc\":\"a notebook that charts my parkrun times by course\"}],\"link_services\":[\"LinkedIn\",\"Email\",\"Website\"],\"stats_cards\":[\"stats\",\"langs\"],\"warnings\":[]}", "previous": "{\"task\":\"write\",\"status\":\"ok\",\"message\":\"\",\"tagline\":\"MSc student in data science, into forecasting and messy real-world data\",\"intro\":\"I'\''m finishing an MSc in data science, where I like turning messy public datasets into forecasts people can actually use. Right now I'\''m working on a dissertation on forecasting bus delays from open transit data. I'\''m also picking up Rust, slowly, and sharpening my SQL along the way. I'\''m looking for a data internship from June.\",\"about\":[\"\ud83d\udd2d Currently working on a dissertation forecasting bus delays from open transit data\",\"\ud83c\udf31 Learning Rust (slowly) and better SQL\",\"\ud83d\udcac Ask me about pandas, time series, or making sense of an undocumented CSV\",\"\ud83d\udccd Based in Leeds, UK\",\"\ud83d\udcbc Open to a data internship from June\"],\"stack_groups\":[{\"label\":\"Languages\",\"items\":[\"Python\",\"SQL\"]},{\"label\":\"Data & ML\",\"items\":[\"pandas\",\"NumPy\",\"scikit-learn\",\"PyTorch\",\"Jupyter\",\"Plotly\"]},{\"label\":\"Databases\",\"items\":[\"PostgreSQL\"]},{\"label\":\"Cloud & DevOps\",\"items\":[\"Docker\"]},{\"label\":\"Tools\",\"items\":[\"Git\"]}],\"projects\":[{\"name\":\"busdelay\",\"blurb\":\"Forecasts bus delays in Leeds using open GTFS feeds.\"},{\"name\":\"tidy-council\",\"blurb\":\"Cleans and joins UK council spending CSVs.\"},{\"name\":\"parkrun-stats\",\"blurb\":\"A notebook that charts my parkrun times by course.\"}],\"extra\":[],\"fun_fact\":\"I'\''ve run a parkrun in 31 different parks.\",\"closing\":\"Always happy to talk pandas, time series, or a messy dataset - say hi!\",\"suggestions\":[\"Add a line on why you built tidy-council or who it'\''s for - right now it just says what it cleans.\",\"Say whether you'\''re looking for the internship remote, in Leeds, or either - it helps people reach out with the right opportunities.\",\"Consider adding a repo link for parkrun-stats, like your other two projects have.\"]}", "revise_note": "Shorter, and make the internship the first thing people see"}'

import requests

TOKEN = "YOUR_TOKEN"
BASE = "https://api.skillsafe.ai/v1/app-api"
H = {"Authorization": f"Bearer {TOKEN}", "Content-Type": "application/json"}

body = {
  "task": "revise",
  "name": "Priya Raman",
  "handle": "priya-raman",
  "tagline": "MSc student in data science, into forecasting and messy real-world data",
  "location": "Leeds, UK",
  "about": "I'm finishing an MSc in data science. I like turning messy public datasets into forecasts people can actually use, and I write up what I learn as I go.",
  "now": "a dissertation on forecasting bus delays from open transit data",
  "learning": "Rust, slowly, and better SQL",
  "ask_me": "pandas, time series, making sense of a CSV nobody documented",
  "fun_fact": "I've run a parkrun in 31 different parks",
  "stack": "Python, pandas, NumPy, scikit-learn, PyTorch, SQL, PostgreSQL, Jupyter, Plotly, Git, Docker",
  "projects": "busdelay - forecasts bus delays in Leeds from open GTFS feeds | https://github.com/priya-raman/busdelay\npriya-raman/tidy-council - cleans and joins UK council spending CSVs\nparkrun-stats: a notebook that charts my parkrun times by course",
  "notes": "I'm looking for a data internship from June.",
  "links": "LinkedIn, Email, Website (priyaraman.dev)",
  "tone": "friendly",
  "emoji": "on",
  "prescan": "{\"stack\":[\"Python\",\"pandas\",\"NumPy\",\"scikit-learn\",\"PyTorch\",\"SQL\",\"PostgreSQL\",\"Jupyter\",\"Plotly\",\"Git\",\"Docker\"],\"stack_groups\":[{\"label\":\"Languages\",\"items\":[\"Python\",\"SQL\"]},{\"label\":\"Data & ML\",\"items\":[\"pandas\",\"NumPy\",\"scikit-learn\",\"PyTorch\",\"Jupyter\",\"Plotly\"]},{\"label\":\"Databases\",\"items\":[\"PostgreSQL\"]},{\"label\":\"Cloud & DevOps\",\"items\":[\"Docker\"]},{\"label\":\"Tools\",\"items\":[\"Git\"]}],\"projects\":[{\"name\":\"busdelay\",\"has_link\":true,\"desc\":\"forecasts bus delays in Leeds from open GTFS feeds -\"},{\"name\":\"tidy-council\",\"has_link\":true,\"desc\":\"cleans and joins UK council spending CSVs\"},{\"name\":\"parkrun-stats\",\"has_link\":false,\"desc\":\"a notebook that charts my parkrun times by course\"}],\"link_services\":[\"LinkedIn\",\"Email\",\"Website\"],\"stats_cards\":[\"stats\",\"langs\"],\"warnings\":[]}",
  "previous": "{\"task\":\"write\",\"status\":\"ok\",\"message\":\"\",\"tagline\":\"MSc student in data science, into forecasting and messy real-world data\",\"intro\":\"I'm finishing an MSc in data science, where I like turning messy public datasets into forecasts people can actually use. Right now I'm working on a dissertation on forecasting bus delays from open transit data. I'm also picking up Rust, slowly, and sharpening my SQL along the way. I'm looking for a data internship from June.\",\"about\":[\"\ud83d\udd2d Currently working on a dissertation forecasting bus delays from open transit data\",\"\ud83c\udf31 Learning Rust (slowly) and better SQL\",\"\ud83d\udcac Ask me about pandas, time series, or making sense of an undocumented CSV\",\"\ud83d\udccd Based in Leeds, UK\",\"\ud83d\udcbc Open to a data internship from June\"],\"stack_groups\":[{\"label\":\"Languages\",\"items\":[\"Python\",\"SQL\"]},{\"label\":\"Data & ML\",\"items\":[\"pandas\",\"NumPy\",\"scikit-learn\",\"PyTorch\",\"Jupyter\",\"Plotly\"]},{\"label\":\"Databases\",\"items\":[\"PostgreSQL\"]},{\"label\":\"Cloud & DevOps\",\"items\":[\"Docker\"]},{\"label\":\"Tools\",\"items\":[\"Git\"]}],\"projects\":[{\"name\":\"busdelay\",\"blurb\":\"Forecasts bus delays in Leeds using open GTFS feeds.\"},{\"name\":\"tidy-council\",\"blurb\":\"Cleans and joins UK council spending CSVs.\"},{\"name\":\"parkrun-stats\",\"blurb\":\"A notebook that charts my parkrun times by course.\"}],\"extra\":[],\"fun_fact\":\"I've run a parkrun in 31 different parks.\",\"closing\":\"Always happy to talk pandas, time series, or a messy dataset - say hi!\",\"suggestions\":[\"Add a line on why you built tidy-council or who it's for - right now it just says what it cleans.\",\"Say whether you're looking for the internship remote, in Leeds, or either - it helps people reach out with the right opportunities.\",\"Consider adding a repo link for parkrun-stats, like your other two projects have.\"]}",
  "revise_note": "Shorter, and make the internship the first thing people see"
}
r = requests.post(f"{BASE}/estimate", headers={**H}, json=body, timeout=120).json()
print(r["data"]["hold_credits"])

const TOKEN = "YOUR_TOKEN";
const BASE = "https://api.skillsafe.ai/v1/app-api";
const H = { Authorization: `Bearer ${TOKEN}`, "Content-Type": "application/json" };

const body = {
  "task": "revise",
  "name": "Priya Raman",
  "handle": "priya-raman",
  "tagline": "MSc student in data science, into forecasting and messy real-world data",
  "location": "Leeds, UK",
  "about": "I'm finishing an MSc in data science. I like turning messy public datasets into forecasts people can actually use, and I write up what I learn as I go.",
  "now": "a dissertation on forecasting bus delays from open transit data",
  "learning": "Rust, slowly, and better SQL",
  "ask_me": "pandas, time series, making sense of a CSV nobody documented",
  "fun_fact": "I've run a parkrun in 31 different parks",
  "stack": "Python, pandas, NumPy, scikit-learn, PyTorch, SQL, PostgreSQL, Jupyter, Plotly, Git, Docker",
  "projects": "busdelay - forecasts bus delays in Leeds from open GTFS feeds | https://github.com/priya-raman/busdelay\npriya-raman/tidy-council - cleans and joins UK council spending CSVs\nparkrun-stats: a notebook that charts my parkrun times by course",
  "notes": "I'm looking for a data internship from June.",
  "links": "LinkedIn, Email, Website (priyaraman.dev)",
  "tone": "friendly",
  "emoji": "on",
  "prescan": "{\"stack\":[\"Python\",\"pandas\",\"NumPy\",\"scikit-learn\",\"PyTorch\",\"SQL\",\"PostgreSQL\",\"Jupyter\",\"Plotly\",\"Git\",\"Docker\"],\"stack_groups\":[{\"label\":\"Languages\",\"items\":[\"Python\",\"SQL\"]},{\"label\":\"Data & ML\",\"items\":[\"pandas\",\"NumPy\",\"scikit-learn\",\"PyTorch\",\"Jupyter\",\"Plotly\"]},{\"label\":\"Databases\",\"items\":[\"PostgreSQL\"]},{\"label\":\"Cloud & DevOps\",\"items\":[\"Docker\"]},{\"label\":\"Tools\",\"items\":[\"Git\"]}],\"projects\":[{\"name\":\"busdelay\",\"has_link\":true,\"desc\":\"forecasts bus delays in Leeds from open GTFS feeds -\"},{\"name\":\"tidy-council\",\"has_link\":true,\"desc\":\"cleans and joins UK council spending CSVs\"},{\"name\":\"parkrun-stats\",\"has_link\":false,\"desc\":\"a notebook that charts my parkrun times by course\"}],\"link_services\":[\"LinkedIn\",\"Email\",\"Website\"],\"stats_cards\":[\"stats\",\"langs\"],\"warnings\":[]}",
  "previous": "{\"task\":\"write\",\"status\":\"ok\",\"message\":\"\",\"tagline\":\"MSc student in data science, into forecasting and messy real-world data\",\"intro\":\"I'm finishing an MSc in data science, where I like turning messy public datasets into forecasts people can actually use. Right now I'm working on a dissertation on forecasting bus delays from open transit data. I'm also picking up Rust, slowly, and sharpening my SQL along the way. I'm looking for a data internship from June.\",\"about\":[\"\ud83d\udd2d Currently working on a dissertation forecasting bus delays from open transit data\",\"\ud83c\udf31 Learning Rust (slowly) and better SQL\",\"\ud83d\udcac Ask me about pandas, time series, or making sense of an undocumented CSV\",\"\ud83d\udccd Based in Leeds, UK\",\"\ud83d\udcbc Open to a data internship from June\"],\"stack_groups\":[{\"label\":\"Languages\",\"items\":[\"Python\",\"SQL\"]},{\"label\":\"Data & ML\",\"items\":[\"pandas\",\"NumPy\",\"scikit-learn\",\"PyTorch\",\"Jupyter\",\"Plotly\"]},{\"label\":\"Databases\",\"items\":[\"PostgreSQL\"]},{\"label\":\"Cloud & DevOps\",\"items\":[\"Docker\"]},{\"label\":\"Tools\",\"items\":[\"Git\"]}],\"projects\":[{\"name\":\"busdelay\",\"blurb\":\"Forecasts bus delays in Leeds using open GTFS feeds.\"},{\"name\":\"tidy-council\",\"blurb\":\"Cleans and joins UK council spending CSVs.\"},{\"name\":\"parkrun-stats\",\"blurb\":\"A notebook that charts my parkrun times by course.\"}],\"extra\":[],\"fun_fact\":\"I've run a parkrun in 31 different parks.\",\"closing\":\"Always happy to talk pandas, time series, or a messy dataset - say hi!\",\"suggestions\":[\"Add a line on why you built tidy-council or who it's for - right now it just says what it cleans.\",\"Say whether you're looking for the internship remote, in Leeds, or either - it helps people reach out with the right opportunities.\",\"Consider adding a repo link for parkrun-stats, like your other two projects have.\"]}",
  "revise_note": "Shorter, and make the internship the first thing people see"
};
const r = await (await fetch(`${BASE}/estimate`, { method: "POST", headers: { ...H }, body: JSON.stringify(body) })).json();
console.log(r.data.hold_credits);

package main

import ("bytes"; "encoding/json"; "fmt"; "net/http")

const base = "https://api.skillsafe.ai/v1/app-api"
const token = "YOUR_TOKEN"

func main() {
  payload := []byte(`{"task": "revise", "name": "Priya Raman", "handle": "priya-raman", "tagline": "MSc student in data science, into forecasting and messy real-world data", "location": "Leeds, UK", "about": "I'm finishing an MSc in data science. I like turning messy public datasets into forecasts people can actually use, and I write up what I learn as I go.", "now": "a dissertation on forecasting bus delays from open transit data", "learning": "Rust, slowly, and better SQL", "ask_me": "pandas, time series, making sense of a CSV nobody documented", "fun_fact": "I've run a parkrun in 31 different parks", "stack": "Python, pandas, NumPy, scikit-learn, PyTorch, SQL, PostgreSQL, Jupyter, Plotly, Git, Docker", "projects": "busdelay - forecasts bus delays in Leeds from open GTFS feeds | https://github.com/priya-raman/busdelay\npriya-raman/tidy-council - cleans and joins UK council spending CSVs\nparkrun-stats: a notebook that charts my parkrun times by course", "notes": "I'm looking for a data internship from June.", "links": "LinkedIn, Email, Website (priyaraman.dev)", "tone": "friendly", "emoji": "on", "prescan": "{\"stack\":[\"Python\",\"pandas\",\"NumPy\",\"scikit-learn\",\"PyTorch\",\"SQL\",\"PostgreSQL\",\"Jupyter\",\"Plotly\",\"Git\",\"Docker\"],\"stack_groups\":[{\"label\":\"Languages\",\"items\":[\"Python\",\"SQL\"]},{\"label\":\"Data & ML\",\"items\":[\"pandas\",\"NumPy\",\"scikit-learn\",\"PyTorch\",\"Jupyter\",\"Plotly\"]},{\"label\":\"Databases\",\"items\":[\"PostgreSQL\"]},{\"label\":\"Cloud & DevOps\",\"items\":[\"Docker\"]},{\"label\":\"Tools\",\"items\":[\"Git\"]}],\"projects\":[{\"name\":\"busdelay\",\"has_link\":true,\"desc\":\"forecasts bus delays in Leeds from open GTFS feeds -\"},{\"name\":\"tidy-council\",\"has_link\":true,\"desc\":\"cleans and joins UK council spending CSVs\"},{\"name\":\"parkrun-stats\",\"has_link\":false,\"desc\":\"a notebook that charts my parkrun times by course\"}],\"link_services\":[\"LinkedIn\",\"Email\",\"Website\"],\"stats_cards\":[\"stats\",\"langs\"],\"warnings\":[]}", "previous": "{\"task\":\"write\",\"status\":\"ok\",\"message\":\"\",\"tagline\":\"MSc student in data science, into forecasting and messy real-world data\",\"intro\":\"I'm finishing an MSc in data science, where I like turning messy public datasets into forecasts people can actually use. Right now I'm working on a dissertation on forecasting bus delays from open transit data. I'm also picking up Rust, slowly, and sharpening my SQL along the way. I'm looking for a data internship from June.\",\"about\":[\"\ud83d\udd2d Currently working on a dissertation forecasting bus delays from open transit data\",\"\ud83c\udf31 Learning Rust (slowly) and better SQL\",\"\ud83d\udcac Ask me about pandas, time series, or making sense of an undocumented CSV\",\"\ud83d\udccd Based in Leeds, UK\",\"\ud83d\udcbc Open to a data internship from June\"],\"stack_groups\":[{\"label\":\"Languages\",\"items\":[\"Python\",\"SQL\"]},{\"label\":\"Data & ML\",\"items\":[\"pandas\",\"NumPy\",\"scikit-learn\",\"PyTorch\",\"Jupyter\",\"Plotly\"]},{\"label\":\"Databases\",\"items\":[\"PostgreSQL\"]},{\"label\":\"Cloud & DevOps\",\"items\":[\"Docker\"]},{\"label\":\"Tools\",\"items\":[\"Git\"]}],\"projects\":[{\"name\":\"busdelay\",\"blurb\":\"Forecasts bus delays in Leeds using open GTFS feeds.\"},{\"name\":\"tidy-council\",\"blurb\":\"Cleans and joins UK council spending CSVs.\"},{\"name\":\"parkrun-stats\",\"blurb\":\"A notebook that charts my parkrun times by course.\"}],\"extra\":[],\"fun_fact\":\"I've run a parkrun in 31 different parks.\",\"closing\":\"Always happy to talk pandas, time series, or a messy dataset - say hi!\",\"suggestions\":[\"Add a line on why you built tidy-council or who it's for - right now it just says what it cleans.\",\"Say whether you're looking for the internship remote, in Leeds, or either - it helps people reach out with the right opportunities.\",\"Consider adding a repo link for parkrun-stats, like your other two projects have.\"]}", "revise_note": "Shorter, and make the internship the first thing people see"}`)
  req, _ := http.NewRequest("POST", base+"/estimate", bytes.NewReader(payload))
  req.Header.Set("Authorization", "Bearer "+token)
  req.Header.Set("Content-Type", "application/json")
  res, _ := http.DefaultClient.Do(req)
  defer res.Body.Close()
  var out map[string]any
  json.NewDecoder(res.Body).Decode(&out)
  fmt.Println(out["data"])
}

var token = "YOUR_TOKEN";
var base = "https://api.skillsafe.ai/v1/app-api";
var http = java.net.http.HttpClient.newHttpClient();

var body = "{\"task\": \"revise\", \"name\": \"Priya Raman\", \"handle\": \"priya-raman\", \"tagline\": \"MSc student in data science, into forecasting and messy real-world data\", \"location\": \"Leeds, UK\", \"about\": \"I'm finishing an MSc in data science. I like turning messy public datasets into forecasts people can actually use, and I write up what I learn as I go.\", \"now\": \"a dissertation on forecasting bus delays from open transit data\", \"learning\": \"Rust, slowly, and better SQL\", \"ask_me\": \"pandas, time series, making sense of a CSV nobody documented\", \"fun_fact\": \"I've run a parkrun in 31 different parks\", \"stack\": \"Python, pandas, NumPy, scikit-learn, PyTorch, SQL, PostgreSQL, Jupyter, Plotly, Git, Docker\", \"projects\": \"busdelay - forecasts bus delays in Leeds from open GTFS feeds | https://github.com/priya-raman/busdelay\\npriya-raman/tidy-council - cleans and joins UK council spending CSVs\\nparkrun-stats: a notebook that charts my parkrun times by course\", \"notes\": \"I'm looking for a data internship from June.\", \"links\": \"LinkedIn, Email, Website (priyaraman.dev)\", \"tone\": \"friendly\", \"emoji\": \"on\", \"prescan\": \"{\\\"stack\\\":[\\\"Python\\\",\\\"pandas\\\",\\\"NumPy\\\",\\\"scikit-learn\\\",\\\"PyTorch\\\",\\\"SQL\\\",\\\"PostgreSQL\\\",\\\"Jupyter\\\",\\\"Plotly\\\",\\\"Git\\\",\\\"Docker\\\"],\\\"stack_groups\\\":[{\\\"label\\\":\\\"Languages\\\",\\\"items\\\":[\\\"Python\\\",\\\"SQL\\\"]},{\\\"label\\\":\\\"Data & ML\\\",\\\"items\\\":[\\\"pandas\\\",\\\"NumPy\\\",\\\"scikit-learn\\\",\\\"PyTorch\\\",\\\"Jupyter\\\",\\\"Plotly\\\"]},{\\\"label\\\":\\\"Databases\\\",\\\"items\\\":[\\\"PostgreSQL\\\"]},{\\\"label\\\":\\\"Cloud & DevOps\\\",\\\"items\\\":[\\\"Docker\\\"]},{\\\"label\\\":\\\"Tools\\\",\\\"items\\\":[\\\"Git\\\"]}],\\\"projects\\\":[{\\\"name\\\":\\\"busdelay\\\",\\\"has_link\\\":true,\\\"desc\\\":\\\"forecasts bus delays in Leeds from open GTFS feeds -\\\"},{\\\"name\\\":\\\"tidy-council\\\",\\\"has_link\\\":true,\\\"desc\\\":\\\"cleans and joins UK council spending CSVs\\\"},{\\\"name\\\":\\\"parkrun-stats\\\",\\\"has_link\\\":false,\\\"desc\\\":\\\"a notebook that charts my parkrun times by course\\\"}],\\\"link_services\\\":[\\\"LinkedIn\\\",\\\"Email\\\",\\\"Website\\\"],\\\"stats_cards\\\":[\\\"stats\\\",\\\"langs\\\"],\\\"warnings\\\":[]}\", \"previous\": \"{\\\"task\\\":\\\"write\\\",\\\"status\\\":\\\"ok\\\",\\\"message\\\":\\\"\\\",\\\"tagline\\\":\\\"MSc student in data science, into forecasting and messy real-world data\\\",\\\"intro\\\":\\\"I'm finishing an MSc in data science, where I like turning messy public datasets into forecasts people can actually use. Right now I'm working on a dissertation on forecasting bus delays from open transit data. I'm also picking up Rust, slowly, and sharpening my SQL along the way. I'm looking for a data internship from June.\\\",\\\"about\\\":[\\\"\\ud83d\\udd2d Currently working on a dissertation forecasting bus delays from open transit data\\\",\\\"\\ud83c\\udf31 Learning Rust (slowly) and better SQL\\\",\\\"\\ud83d\\udcac Ask me about pandas, time series, or making sense of an undocumented CSV\\\",\\\"\\ud83d\\udccd Based in Leeds, UK\\\",\\\"\\ud83d\\udcbc Open to a data internship from June\\\"],\\\"stack_groups\\\":[{\\\"label\\\":\\\"Languages\\\",\\\"items\\\":[\\\"Python\\\",\\\"SQL\\\"]},{\\\"label\\\":\\\"Data & ML\\\",\\\"items\\\":[\\\"pandas\\\",\\\"NumPy\\\",\\\"scikit-learn\\\",\\\"PyTorch\\\",\\\"Jupyter\\\",\\\"Plotly\\\"]},{\\\"label\\\":\\\"Databases\\\",\\\"items\\\":[\\\"PostgreSQL\\\"]},{\\\"label\\\":\\\"Cloud & DevOps\\\",\\\"items\\\":[\\\"Docker\\\"]},{\\\"label\\\":\\\"Tools\\\",\\\"items\\\":[\\\"Git\\\"]}],\\\"projects\\\":[{\\\"name\\\":\\\"busdelay\\\",\\\"blurb\\\":\\\"Forecasts bus delays in Leeds using open GTFS feeds.\\\"},{\\\"name\\\":\\\"tidy-council\\\",\\\"blurb\\\":\\\"Cleans and joins UK council spending CSVs.\\\"},{\\\"name\\\":\\\"parkrun-stats\\\",\\\"blurb\\\":\\\"A notebook that charts my parkrun times by course.\\\"}],\\\"extra\\\":[],\\\"fun_fact\\\":\\\"I've run a parkrun in 31 different parks.\\\",\\\"closing\\\":\\\"Always happy to talk pandas, time series, or a messy dataset - say hi!\\\",\\\"suggestions\\\":[\\\"Add a line on why you built tidy-council or who it's for - right now it just says what it cleans.\\\",\\\"Say whether you're looking for the internship remote, in Leeds, or either - it helps people reach out with the right opportunities.\\\",\\\"Consider adding a repo link for parkrun-stats, like your other two projects have.\\\"]}\", \"revise_note\": \"Shorter, and make the internship the first thing people see\"}";
var req = java.net.http.HttpRequest.newBuilder(java.net.URI.create(base + "/estimate"))
    .header("Authorization", "Bearer " + token).header("Content-Type", "application/json")
    .POST(java.net.http.HttpRequest.BodyPublishers.ofString(body)).build();
System.out.println(http.send(req, java.net.http.HttpResponse.BodyHandlers.ofString()).body());

require "net/http"
require "json"

TOKEN = "YOUR_TOKEN"
BASE = "https://api.skillsafe.ai/v1/app-api"

uri = URI("#{BASE}/estimate")
req = Net::HTTP::Post.new(uri)
req["Authorization"] = "Bearer #{TOKEN}"
req["Content-Type"] = "application/json"
req.body = "{\"task\": \"revise\", \"name\": \"Priya Raman\", \"handle\": \"priya-raman\", \"tagline\": \"MSc student in data science, into forecasting and messy real-world data\", \"location\": \"Leeds, UK\", \"about\": \"I'm finishing an MSc in data science. I like turning messy public datasets into forecasts people can actually use, and I write up what I learn as I go.\", \"now\": \"a dissertation on forecasting bus delays from open transit data\", \"learning\": \"Rust, slowly, and better SQL\", \"ask_me\": \"pandas, time series, making sense of a CSV nobody documented\", \"fun_fact\": \"I've run a parkrun in 31 different parks\", \"stack\": \"Python, pandas, NumPy, scikit-learn, PyTorch, SQL, PostgreSQL, Jupyter, Plotly, Git, Docker\", \"projects\": \"busdelay - forecasts bus delays in Leeds from open GTFS feeds | https://github.com/priya-raman/busdelay\\npriya-raman/tidy-council - cleans and joins UK council spending CSVs\\nparkrun-stats: a notebook that charts my parkrun times by course\", \"notes\": \"I'm looking for a data internship from June.\", \"links\": \"LinkedIn, Email, Website (priyaraman.dev)\", \"tone\": \"friendly\", \"emoji\": \"on\", \"prescan\": \"{\\\"stack\\\":[\\\"Python\\\",\\\"pandas\\\",\\\"NumPy\\\",\\\"scikit-learn\\\",\\\"PyTorch\\\",\\\"SQL\\\",\\\"PostgreSQL\\\",\\\"Jupyter\\\",\\\"Plotly\\\",\\\"Git\\\",\\\"Docker\\\"],\\\"stack_groups\\\":[{\\\"label\\\":\\\"Languages\\\",\\\"items\\\":[\\\"Python\\\",\\\"SQL\\\"]},{\\\"label\\\":\\\"Data & ML\\\",\\\"items\\\":[\\\"pandas\\\",\\\"NumPy\\\",\\\"scikit-learn\\\",\\\"PyTorch\\\",\\\"Jupyter\\\",\\\"Plotly\\\"]},{\\\"label\\\":\\\"Databases\\\",\\\"items\\\":[\\\"PostgreSQL\\\"]},{\\\"label\\\":\\\"Cloud & DevOps\\\",\\\"items\\\":[\\\"Docker\\\"]},{\\\"label\\\":\\\"Tools\\\",\\\"items\\\":[\\\"Git\\\"]}],\\\"projects\\\":[{\\\"name\\\":\\\"busdelay\\\",\\\"has_link\\\":true,\\\"desc\\\":\\\"forecasts bus delays in Leeds from open GTFS feeds -\\\"},{\\\"name\\\":\\\"tidy-council\\\",\\\"has_link\\\":true,\\\"desc\\\":\\\"cleans and joins UK council spending CSVs\\\"},{\\\"name\\\":\\\"parkrun-stats\\\",\\\"has_link\\\":false,\\\"desc\\\":\\\"a notebook that charts my parkrun times by course\\\"}],\\\"link_services\\\":[\\\"LinkedIn\\\",\\\"Email\\\",\\\"Website\\\"],\\\"stats_cards\\\":[\\\"stats\\\",\\\"langs\\\"],\\\"warnings\\\":[]}\", \"previous\": \"{\\\"task\\\":\\\"write\\\",\\\"status\\\":\\\"ok\\\",\\\"message\\\":\\\"\\\",\\\"tagline\\\":\\\"MSc student in data science, into forecasting and messy real-world data\\\",\\\"intro\\\":\\\"I'm finishing an MSc in data science, where I like turning messy public datasets into forecasts people can actually use. Right now I'm working on a dissertation on forecasting bus delays from open transit data. I'm also picking up Rust, slowly, and sharpening my SQL along the way. I'm looking for a data internship from June.\\\",\\\"about\\\":[\\\"\\ud83d\\udd2d Currently working on a dissertation forecasting bus delays from open transit data\\\",\\\"\\ud83c\\udf31 Learning Rust (slowly) and better SQL\\\",\\\"\\ud83d\\udcac Ask me about pandas, time series, or making sense of an undocumented CSV\\\",\\\"\\ud83d\\udccd Based in Leeds, UK\\\",\\\"\\ud83d\\udcbc Open to a data internship from June\\\"],\\\"stack_groups\\\":[{\\\"label\\\":\\\"Languages\\\",\\\"items\\\":[\\\"Python\\\",\\\"SQL\\\"]},{\\\"label\\\":\\\"Data & ML\\\",\\\"items\\\":[\\\"pandas\\\",\\\"NumPy\\\",\\\"scikit-learn\\\",\\\"PyTorch\\\",\\\"Jupyter\\\",\\\"Plotly\\\"]},{\\\"label\\\":\\\"Databases\\\",\\\"items\\\":[\\\"PostgreSQL\\\"]},{\\\"label\\\":\\\"Cloud & DevOps\\\",\\\"items\\\":[\\\"Docker\\\"]},{\\\"label\\\":\\\"Tools\\\",\\\"items\\\":[\\\"Git\\\"]}],\\\"projects\\\":[{\\\"name\\\":\\\"busdelay\\\",\\\"blurb\\\":\\\"Forecasts bus delays in Leeds using open GTFS feeds.\\\"},{\\\"name\\\":\\\"tidy-council\\\",\\\"blurb\\\":\\\"Cleans and joins UK council spending CSVs.\\\"},{\\\"name\\\":\\\"parkrun-stats\\\",\\\"blurb\\\":\\\"A notebook that charts my parkrun times by course.\\\"}],\\\"extra\\\":[],\\\"fun_fact\\\":\\\"I've run a parkrun in 31 different parks.\\\",\\\"closing\\\":\\\"Always happy to talk pandas, time series, or a messy dataset - say hi!\\\",\\\"suggestions\\\":[\\\"Add a line on why you built tidy-council or who it's for - right now it just says what it cleans.\\\",\\\"Say whether you're looking for the internship remote, in Leeds, or either - it helps people reach out with the right opportunities.\\\",\\\"Consider adding a repo link for parkrun-stats, like your other two projects have.\\\"]}\", \"revise_note\": \"Shorter, and make the internship the first thing people see\"}"
res = Net::HTTP.start(uri.host, uri.port, use_ssl: true) { |h| h.request(req) }
puts JSON.parse(res.body)["data"]

<?php
$token = "YOUR_TOKEN";
$base  = "https://api.skillsafe.ai/v1/app-api";

$body = "{\"task\": \"revise\", \"name\": \"Priya Raman\", \"handle\": \"priya-raman\", \"tagline\": \"MSc student in data science, into forecasting and messy real-world data\", \"location\": \"Leeds, UK\", \"about\": \"I'm finishing an MSc in data science. I like turning messy public datasets into forecasts people can actually use, and I write up what I learn as I go.\", \"now\": \"a dissertation on forecasting bus delays from open transit data\", \"learning\": \"Rust, slowly, and better SQL\", \"ask_me\": \"pandas, time series, making sense of a CSV nobody documented\", \"fun_fact\": \"I've run a parkrun in 31 different parks\", \"stack\": \"Python, pandas, NumPy, scikit-learn, PyTorch, SQL, PostgreSQL, Jupyter, Plotly, Git, Docker\", \"projects\": \"busdelay - forecasts bus delays in Leeds from open GTFS feeds | https://github.com/priya-raman/busdelay\\npriya-raman/tidy-council - cleans and joins UK council spending CSVs\\nparkrun-stats: a notebook that charts my parkrun times by course\", \"notes\": \"I'm looking for a data internship from June.\", \"links\": \"LinkedIn, Email, Website (priyaraman.dev)\", \"tone\": \"friendly\", \"emoji\": \"on\", \"prescan\": \"{\\\"stack\\\":[\\\"Python\\\",\\\"pandas\\\",\\\"NumPy\\\",\\\"scikit-learn\\\",\\\"PyTorch\\\",\\\"SQL\\\",\\\"PostgreSQL\\\",\\\"Jupyter\\\",\\\"Plotly\\\",\\\"Git\\\",\\\"Docker\\\"],\\\"stack_groups\\\":[{\\\"label\\\":\\\"Languages\\\",\\\"items\\\":[\\\"Python\\\",\\\"SQL\\\"]},{\\\"label\\\":\\\"Data & ML\\\",\\\"items\\\":[\\\"pandas\\\",\\\"NumPy\\\",\\\"scikit-learn\\\",\\\"PyTorch\\\",\\\"Jupyter\\\",\\\"Plotly\\\"]},{\\\"label\\\":\\\"Databases\\\",\\\"items\\\":[\\\"PostgreSQL\\\"]},{\\\"label\\\":\\\"Cloud & DevOps\\\",\\\"items\\\":[\\\"Docker\\\"]},{\\\"label\\\":\\\"Tools\\\",\\\"items\\\":[\\\"Git\\\"]}],\\\"projects\\\":[{\\\"name\\\":\\\"busdelay\\\",\\\"has_link\\\":true,\\\"desc\\\":\\\"forecasts bus delays in Leeds from open GTFS feeds -\\\"},{\\\"name\\\":\\\"tidy-council\\\",\\\"has_link\\\":true,\\\"desc\\\":\\\"cleans and joins UK council spending CSVs\\\"},{\\\"name\\\":\\\"parkrun-stats\\\",\\\"has_link\\\":false,\\\"desc\\\":\\\"a notebook that charts my parkrun times by course\\\"}],\\\"link_services\\\":[\\\"LinkedIn\\\",\\\"Email\\\",\\\"Website\\\"],\\\"stats_cards\\\":[\\\"stats\\\",\\\"langs\\\"],\\\"warnings\\\":[]}\", \"previous\": \"{\\\"task\\\":\\\"write\\\",\\\"status\\\":\\\"ok\\\",\\\"message\\\":\\\"\\\",\\\"tagline\\\":\\\"MSc student in data science, into forecasting and messy real-world data\\\",\\\"intro\\\":\\\"I'm finishing an MSc in data science, where I like turning messy public datasets into forecasts people can actually use. Right now I'm working on a dissertation on forecasting bus delays from open transit data. I'm also picking up Rust, slowly, and sharpening my SQL along the way. I'm looking for a data internship from June.\\\",\\\"about\\\":[\\\"\\ud83d\\udd2d Currently working on a dissertation forecasting bus delays from open transit data\\\",\\\"\\ud83c\\udf31 Learning Rust (slowly) and better SQL\\\",\\\"\\ud83d\\udcac Ask me about pandas, time series, or making sense of an undocumented CSV\\\",\\\"\\ud83d\\udccd Based in Leeds, UK\\\",\\\"\\ud83d\\udcbc Open to a data internship from June\\\"],\\\"stack_groups\\\":[{\\\"label\\\":\\\"Languages\\\",\\\"items\\\":[\\\"Python\\\",\\\"SQL\\\"]},{\\\"label\\\":\\\"Data & ML\\\",\\\"items\\\":[\\\"pandas\\\",\\\"NumPy\\\",\\\"scikit-learn\\\",\\\"PyTorch\\\",\\\"Jupyter\\\",\\\"Plotly\\\"]},{\\\"label\\\":\\\"Databases\\\",\\\"items\\\":[\\\"PostgreSQL\\\"]},{\\\"label\\\":\\\"Cloud & DevOps\\\",\\\"items\\\":[\\\"Docker\\\"]},{\\\"label\\\":\\\"Tools\\\",\\\"items\\\":[\\\"Git\\\"]}],\\\"projects\\\":[{\\\"name\\\":\\\"busdelay\\\",\\\"blurb\\\":\\\"Forecasts bus delays in Leeds using open GTFS feeds.\\\"},{\\\"name\\\":\\\"tidy-council\\\",\\\"blurb\\\":\\\"Cleans and joins UK council spending CSVs.\\\"},{\\\"name\\\":\\\"parkrun-stats\\\",\\\"blurb\\\":\\\"A notebook that charts my parkrun times by course.\\\"}],\\\"extra\\\":[],\\\"fun_fact\\\":\\\"I've run a parkrun in 31 different parks.\\\",\\\"closing\\\":\\\"Always happy to talk pandas, time series, or a messy dataset - say hi!\\\",\\\"suggestions\\\":[\\\"Add a line on why you built tidy-council or who it's for - right now it just says what it cleans.\\\",\\\"Say whether you're looking for the internship remote, in Leeds, or either - it helps people reach out with the right opportunities.\\\",\\\"Consider adding a repo link for parkrun-stats, like your other two projects have.\\\"]}\", \"revise_note\": \"Shorter, and make the internship the first thing people see\"}";
$ch = curl_init("$base/estimate");
curl_setopt_array($ch, [
  CURLOPT_RETURNTRANSFER => true, CURLOPT_POST => true, CURLOPT_POSTFIELDS => $body,
  CURLOPT_HTTPHEADER => ["Authorization: Bearer $token", "Content-Type: application/json"],
]);
print_r(json_decode(curl_exec($ch), true)["data"]);

using System.Net.Http.Headers;
using System.Text;

var token = "YOUR_TOKEN";
var baseUrl = "https://api.skillsafe.ai/v1/app-api";
using var http = new HttpClient();
http.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("Bearer", token);

var body = new StringContent("{\"task\": \"revise\", \"name\": \"Priya Raman\", \"handle\": \"priya-raman\", \"tagline\": \"MSc student in data science, into forecasting and messy real-world data\", \"location\": \"Leeds, UK\", \"about\": \"I'm finishing an MSc in data science. I like turning messy public datasets into forecasts people can actually use, and I write up what I learn as I go.\", \"now\": \"a dissertation on forecasting bus delays from open transit data\", \"learning\": \"Rust, slowly, and better SQL\", \"ask_me\": \"pandas, time series, making sense of a CSV nobody documented\", \"fun_fact\": \"I've run a parkrun in 31 different parks\", \"stack\": \"Python, pandas, NumPy, scikit-learn, PyTorch, SQL, PostgreSQL, Jupyter, Plotly, Git, Docker\", \"projects\": \"busdelay - forecasts bus delays in Leeds from open GTFS feeds | https://github.com/priya-raman/busdelay\\npriya-raman/tidy-council - cleans and joins UK council spending CSVs\\nparkrun-stats: a notebook that charts my parkrun times by course\", \"notes\": \"I'm looking for a data internship from June.\", \"links\": \"LinkedIn, Email, Website (priyaraman.dev)\", \"tone\": \"friendly\", \"emoji\": \"on\", \"prescan\": \"{\\\"stack\\\":[\\\"Python\\\",\\\"pandas\\\",\\\"NumPy\\\",\\\"scikit-learn\\\",\\\"PyTorch\\\",\\\"SQL\\\",\\\"PostgreSQL\\\",\\\"Jupyter\\\",\\\"Plotly\\\",\\\"Git\\\",\\\"Docker\\\"],\\\"stack_groups\\\":[{\\\"label\\\":\\\"Languages\\\",\\\"items\\\":[\\\"Python\\\",\\\"SQL\\\"]},{\\\"label\\\":\\\"Data & ML\\\",\\\"items\\\":[\\\"pandas\\\",\\\"NumPy\\\",\\\"scikit-learn\\\",\\\"PyTorch\\\",\\\"Jupyter\\\",\\\"Plotly\\\"]},{\\\"label\\\":\\\"Databases\\\",\\\"items\\\":[\\\"PostgreSQL\\\"]},{\\\"label\\\":\\\"Cloud & DevOps\\\",\\\"items\\\":[\\\"Docker\\\"]},{\\\"label\\\":\\\"Tools\\\",\\\"items\\\":[\\\"Git\\\"]}],\\\"projects\\\":[{\\\"name\\\":\\\"busdelay\\\",\\\"has_link\\\":true,\\\"desc\\\":\\\"forecasts bus delays in Leeds from open GTFS feeds -\\\"},{\\\"name\\\":\\\"tidy-council\\\",\\\"has_link\\\":true,\\\"desc\\\":\\\"cleans and joins UK council spending CSVs\\\"},{\\\"name\\\":\\\"parkrun-stats\\\",\\\"has_link\\\":false,\\\"desc\\\":\\\"a notebook that charts my parkrun times by course\\\"}],\\\"link_services\\\":[\\\"LinkedIn\\\",\\\"Email\\\",\\\"Website\\\"],\\\"stats_cards\\\":[\\\"stats\\\",\\\"langs\\\"],\\\"warnings\\\":[]}\", \"previous\": \"{\\\"task\\\":\\\"write\\\",\\\"status\\\":\\\"ok\\\",\\\"message\\\":\\\"\\\",\\\"tagline\\\":\\\"MSc student in data science, into forecasting and messy real-world data\\\",\\\"intro\\\":\\\"I'm finishing an MSc in data science, where I like turning messy public datasets into forecasts people can actually use. Right now I'm working on a dissertation on forecasting bus delays from open transit data. I'm also picking up Rust, slowly, and sharpening my SQL along the way. I'm looking for a data internship from June.\\\",\\\"about\\\":[\\\"\\ud83d\\udd2d Currently working on a dissertation forecasting bus delays from open transit data\\\",\\\"\\ud83c\\udf31 Learning Rust (slowly) and better SQL\\\",\\\"\\ud83d\\udcac Ask me about pandas, time series, or making sense of an undocumented CSV\\\",\\\"\\ud83d\\udccd Based in Leeds, UK\\\",\\\"\\ud83d\\udcbc Open to a data internship from June\\\"],\\\"stack_groups\\\":[{\\\"label\\\":\\\"Languages\\\",\\\"items\\\":[\\\"Python\\\",\\\"SQL\\\"]},{\\\"label\\\":\\\"Data & ML\\\",\\\"items\\\":[\\\"pandas\\\",\\\"NumPy\\\",\\\"scikit-learn\\\",\\\"PyTorch\\\",\\\"Jupyter\\\",\\\"Plotly\\\"]},{\\\"label\\\":\\\"Databases\\\",\\\"items\\\":[\\\"PostgreSQL\\\"]},{\\\"label\\\":\\\"Cloud & DevOps\\\",\\\"items\\\":[\\\"Docker\\\"]},{\\\"label\\\":\\\"Tools\\\",\\\"items\\\":[\\\"Git\\\"]}],\\\"projects\\\":[{\\\"name\\\":\\\"busdelay\\\",\\\"blurb\\\":\\\"Forecasts bus delays in Leeds using open GTFS feeds.\\\"},{\\\"name\\\":\\\"tidy-council\\\",\\\"blurb\\\":\\\"Cleans and joins UK council spending CSVs.\\\"},{\\\"name\\\":\\\"parkrun-stats\\\",\\\"blurb\\\":\\\"A notebook that charts my parkrun times by course.\\\"}],\\\"extra\\\":[],\\\"fun_fact\\\":\\\"I've run a parkrun in 31 different parks.\\\",\\\"closing\\\":\\\"Always happy to talk pandas, time series, or a messy dataset - say hi!\\\",\\\"suggestions\\\":[\\\"Add a line on why you built tidy-council or who it's for - right now it just says what it cleans.\\\",\\\"Say whether you're looking for the internship remote, in Leeds, or either - it helps people reach out with the right opportunities.\\\",\\\"Consider adding a repo link for parkrun-stats, like your other two projects have.\\\"]}\", \"revise_note\": \"Shorter, and make the internship the first thing people see\"}", Encoding.UTF8, "application/json");
var res = await http.PostAsync($"{baseUrl}/estimate", body);
Console.WriteLine(await res.Content.ReadAsStringAsync());

curl -s -X POST "https://api.skillsafe.ai/v1/app-api/run" \
  -H "Authorization: Bearer YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Idempotency-Key: profile-readme:write:k3x9q1-2f0:a1" \
  -d '{"task": "write", "name": "Priya Raman", "handle": "priya-raman", "tagline": "MSc student in data science, into forecasting and messy real-world data", "location": "Leeds, UK", "about": "I'\''m finishing an MSc in data science. I like turning messy public datasets into forecasts people can actually use, and I write up what I learn as I go.", "now": "a dissertation on forecasting bus delays from open transit data", "learning": "Rust, slowly, and better SQL", "ask_me": "pandas, time series, making sense of a CSV nobody documented", "fun_fact": "I'\''ve run a parkrun in 31 different parks", "stack": "Python, pandas, NumPy, scikit-learn, PyTorch, SQL, PostgreSQL, Jupyter, Plotly, Git, Docker", "projects": "busdelay - forecasts bus delays in Leeds from open GTFS feeds | https://github.com/priya-raman/busdelay\npriya-raman/tidy-council - cleans and joins UK council spending CSVs\nparkrun-stats: a notebook that charts my parkrun times by course", "notes": "I'\''m looking for a data internship from June.", "links": "LinkedIn, Email, Website (priyaraman.dev)", "tone": "friendly", "emoji": "on", "prescan": "{\"stack\":[\"Python\",\"pandas\",\"NumPy\",\"scikit-learn\",\"PyTorch\",\"SQL\",\"PostgreSQL\",\"Jupyter\",\"Plotly\",\"Git\",\"Docker\"],\"stack_groups\":[{\"label\":\"Languages\",\"items\":[\"Python\",\"SQL\"]},{\"label\":\"Data & ML\",\"items\":[\"pandas\",\"NumPy\",\"scikit-learn\",\"PyTorch\",\"Jupyter\",\"Plotly\"]},{\"label\":\"Databases\",\"items\":[\"PostgreSQL\"]},{\"label\":\"Cloud & DevOps\",\"items\":[\"Docker\"]},{\"label\":\"Tools\",\"items\":[\"Git\"]}],\"projects\":[{\"name\":\"busdelay\",\"has_link\":true,\"desc\":\"forecasts bus delays in Leeds from open GTFS feeds -\"},{\"name\":\"tidy-council\",\"has_link\":true,\"desc\":\"cleans and joins UK council spending CSVs\"},{\"name\":\"parkrun-stats\",\"has_link\":false,\"desc\":\"a notebook that charts my parkrun times by course\"}],\"link_services\":[\"LinkedIn\",\"Email\",\"Website\"],\"stats_cards\":[\"stats\",\"langs\"],\"warnings\":[]}"}'

import requests

TOKEN = "YOUR_TOKEN"
BASE = "https://api.skillsafe.ai/v1/app-api"
H = {"Authorization": f"Bearer {TOKEN}", "Content-Type": "application/json"}

body = {
  "task": "write",
  "name": "Priya Raman",
  "handle": "priya-raman",
  "tagline": "MSc student in data science, into forecasting and messy real-world data",
  "location": "Leeds, UK",
  "about": "I'm finishing an MSc in data science. I like turning messy public datasets into forecasts people can actually use, and I write up what I learn as I go.",
  "now": "a dissertation on forecasting bus delays from open transit data",
  "learning": "Rust, slowly, and better SQL",
  "ask_me": "pandas, time series, making sense of a CSV nobody documented",
  "fun_fact": "I've run a parkrun in 31 different parks",
  "stack": "Python, pandas, NumPy, scikit-learn, PyTorch, SQL, PostgreSQL, Jupyter, Plotly, Git, Docker",
  "projects": "busdelay - forecasts bus delays in Leeds from open GTFS feeds | https://github.com/priya-raman/busdelay\npriya-raman/tidy-council - cleans and joins UK council spending CSVs\nparkrun-stats: a notebook that charts my parkrun times by course",
  "notes": "I'm looking for a data internship from June.",
  "links": "LinkedIn, Email, Website (priyaraman.dev)",
  "tone": "friendly",
  "emoji": "on",
  "prescan": "{\"stack\":[\"Python\",\"pandas\",\"NumPy\",\"scikit-learn\",\"PyTorch\",\"SQL\",\"PostgreSQL\",\"Jupyter\",\"Plotly\",\"Git\",\"Docker\"],\"stack_groups\":[{\"label\":\"Languages\",\"items\":[\"Python\",\"SQL\"]},{\"label\":\"Data & ML\",\"items\":[\"pandas\",\"NumPy\",\"scikit-learn\",\"PyTorch\",\"Jupyter\",\"Plotly\"]},{\"label\":\"Databases\",\"items\":[\"PostgreSQL\"]},{\"label\":\"Cloud & DevOps\",\"items\":[\"Docker\"]},{\"label\":\"Tools\",\"items\":[\"Git\"]}],\"projects\":[{\"name\":\"busdelay\",\"has_link\":true,\"desc\":\"forecasts bus delays in Leeds from open GTFS feeds -\"},{\"name\":\"tidy-council\",\"has_link\":true,\"desc\":\"cleans and joins UK council spending CSVs\"},{\"name\":\"parkrun-stats\",\"has_link\":false,\"desc\":\"a notebook that charts my parkrun times by course\"}],\"link_services\":[\"LinkedIn\",\"Email\",\"Website\"],\"stats_cards\":[\"stats\",\"langs\"],\"warnings\":[]}"
}
r = requests.post(f"{BASE}/run", headers={**H, "Idempotency-Key": "profile-readme:write:k3x9q1-2f0:a1"}, json=body, timeout=120).json()
job_id = r["data"]["job_id"]

const TOKEN = "YOUR_TOKEN";
const BASE = "https://api.skillsafe.ai/v1/app-api";
const H = { Authorization: `Bearer ${TOKEN}`, "Content-Type": "application/json" };

const body = {
  "task": "write",
  "name": "Priya Raman",
  "handle": "priya-raman",
  "tagline": "MSc student in data science, into forecasting and messy real-world data",
  "location": "Leeds, UK",
  "about": "I'm finishing an MSc in data science. I like turning messy public datasets into forecasts people can actually use, and I write up what I learn as I go.",
  "now": "a dissertation on forecasting bus delays from open transit data",
  "learning": "Rust, slowly, and better SQL",
  "ask_me": "pandas, time series, making sense of a CSV nobody documented",
  "fun_fact": "I've run a parkrun in 31 different parks",
  "stack": "Python, pandas, NumPy, scikit-learn, PyTorch, SQL, PostgreSQL, Jupyter, Plotly, Git, Docker",
  "projects": "busdelay - forecasts bus delays in Leeds from open GTFS feeds | https://github.com/priya-raman/busdelay\npriya-raman/tidy-council - cleans and joins UK council spending CSVs\nparkrun-stats: a notebook that charts my parkrun times by course",
  "notes": "I'm looking for a data internship from June.",
  "links": "LinkedIn, Email, Website (priyaraman.dev)",
  "tone": "friendly",
  "emoji": "on",
  "prescan": "{\"stack\":[\"Python\",\"pandas\",\"NumPy\",\"scikit-learn\",\"PyTorch\",\"SQL\",\"PostgreSQL\",\"Jupyter\",\"Plotly\",\"Git\",\"Docker\"],\"stack_groups\":[{\"label\":\"Languages\",\"items\":[\"Python\",\"SQL\"]},{\"label\":\"Data & ML\",\"items\":[\"pandas\",\"NumPy\",\"scikit-learn\",\"PyTorch\",\"Jupyter\",\"Plotly\"]},{\"label\":\"Databases\",\"items\":[\"PostgreSQL\"]},{\"label\":\"Cloud & DevOps\",\"items\":[\"Docker\"]},{\"label\":\"Tools\",\"items\":[\"Git\"]}],\"projects\":[{\"name\":\"busdelay\",\"has_link\":true,\"desc\":\"forecasts bus delays in Leeds from open GTFS feeds -\"},{\"name\":\"tidy-council\",\"has_link\":true,\"desc\":\"cleans and joins UK council spending CSVs\"},{\"name\":\"parkrun-stats\",\"has_link\":false,\"desc\":\"a notebook that charts my parkrun times by course\"}],\"link_services\":[\"LinkedIn\",\"Email\",\"Website\"],\"stats_cards\":[\"stats\",\"langs\"],\"warnings\":[]}"
};
const r = await (await fetch(`${BASE}/run`, { method: "POST", headers: { ...H, "Idempotency-Key": "profile-readme:write:k3x9q1-2f0:a1" }, body: JSON.stringify(body) })).json();
const jobId = r.data.job_id;

package main

import ("bytes"; "encoding/json"; "fmt"; "net/http")

const base = "https://api.skillsafe.ai/v1/app-api"
const token = "YOUR_TOKEN"

func main() {
  payload := []byte(`{"task": "write", "name": "Priya Raman", "handle": "priya-raman", "tagline": "MSc student in data science, into forecasting and messy real-world data", "location": "Leeds, UK", "about": "I'm finishing an MSc in data science. I like turning messy public datasets into forecasts people can actually use, and I write up what I learn as I go.", "now": "a dissertation on forecasting bus delays from open transit data", "learning": "Rust, slowly, and better SQL", "ask_me": "pandas, time series, making sense of a CSV nobody documented", "fun_fact": "I've run a parkrun in 31 different parks", "stack": "Python, pandas, NumPy, scikit-learn, PyTorch, SQL, PostgreSQL, Jupyter, Plotly, Git, Docker", "projects": "busdelay - forecasts bus delays in Leeds from open GTFS feeds | https://github.com/priya-raman/busdelay\npriya-raman/tidy-council - cleans and joins UK council spending CSVs\nparkrun-stats: a notebook that charts my parkrun times by course", "notes": "I'm looking for a data internship from June.", "links": "LinkedIn, Email, Website (priyaraman.dev)", "tone": "friendly", "emoji": "on", "prescan": "{\"stack\":[\"Python\",\"pandas\",\"NumPy\",\"scikit-learn\",\"PyTorch\",\"SQL\",\"PostgreSQL\",\"Jupyter\",\"Plotly\",\"Git\",\"Docker\"],\"stack_groups\":[{\"label\":\"Languages\",\"items\":[\"Python\",\"SQL\"]},{\"label\":\"Data & ML\",\"items\":[\"pandas\",\"NumPy\",\"scikit-learn\",\"PyTorch\",\"Jupyter\",\"Plotly\"]},{\"label\":\"Databases\",\"items\":[\"PostgreSQL\"]},{\"label\":\"Cloud & DevOps\",\"items\":[\"Docker\"]},{\"label\":\"Tools\",\"items\":[\"Git\"]}],\"projects\":[{\"name\":\"busdelay\",\"has_link\":true,\"desc\":\"forecasts bus delays in Leeds from open GTFS feeds -\"},{\"name\":\"tidy-council\",\"has_link\":true,\"desc\":\"cleans and joins UK council spending CSVs\"},{\"name\":\"parkrun-stats\",\"has_link\":false,\"desc\":\"a notebook that charts my parkrun times by course\"}],\"link_services\":[\"LinkedIn\",\"Email\",\"Website\"],\"stats_cards\":[\"stats\",\"langs\"],\"warnings\":[]}"}`)
  req, _ := http.NewRequest("POST", base+"/run", bytes.NewReader(payload))
  req.Header.Set("Authorization", "Bearer "+token)
  req.Header.Set("Content-Type", "application/json")
  req.Header.Set("Idempotency-Key", "profile-readme:write:k3x9q1-2f0:a1")
  res, _ := http.DefaultClient.Do(req)
  defer res.Body.Close()
  var out map[string]any
  json.NewDecoder(res.Body).Decode(&out)
  fmt.Println(out["data"])
}

var token = "YOUR_TOKEN";
var base = "https://api.skillsafe.ai/v1/app-api";
var http = java.net.http.HttpClient.newHttpClient();

var body = "{\"task\": \"write\", \"name\": \"Priya Raman\", \"handle\": \"priya-raman\", \"tagline\": \"MSc student in data science, into forecasting and messy real-world data\", \"location\": \"Leeds, UK\", \"about\": \"I'm finishing an MSc in data science. I like turning messy public datasets into forecasts people can actually use, and I write up what I learn as I go.\", \"now\": \"a dissertation on forecasting bus delays from open transit data\", \"learning\": \"Rust, slowly, and better SQL\", \"ask_me\": \"pandas, time series, making sense of a CSV nobody documented\", \"fun_fact\": \"I've run a parkrun in 31 different parks\", \"stack\": \"Python, pandas, NumPy, scikit-learn, PyTorch, SQL, PostgreSQL, Jupyter, Plotly, Git, Docker\", \"projects\": \"busdelay - forecasts bus delays in Leeds from open GTFS feeds | https://github.com/priya-raman/busdelay\\npriya-raman/tidy-council - cleans and joins UK council spending CSVs\\nparkrun-stats: a notebook that charts my parkrun times by course\", \"notes\": \"I'm looking for a data internship from June.\", \"links\": \"LinkedIn, Email, Website (priyaraman.dev)\", \"tone\": \"friendly\", \"emoji\": \"on\", \"prescan\": \"{\\\"stack\\\":[\\\"Python\\\",\\\"pandas\\\",\\\"NumPy\\\",\\\"scikit-learn\\\",\\\"PyTorch\\\",\\\"SQL\\\",\\\"PostgreSQL\\\",\\\"Jupyter\\\",\\\"Plotly\\\",\\\"Git\\\",\\\"Docker\\\"],\\\"stack_groups\\\":[{\\\"label\\\":\\\"Languages\\\",\\\"items\\\":[\\\"Python\\\",\\\"SQL\\\"]},{\\\"label\\\":\\\"Data & ML\\\",\\\"items\\\":[\\\"pandas\\\",\\\"NumPy\\\",\\\"scikit-learn\\\",\\\"PyTorch\\\",\\\"Jupyter\\\",\\\"Plotly\\\"]},{\\\"label\\\":\\\"Databases\\\",\\\"items\\\":[\\\"PostgreSQL\\\"]},{\\\"label\\\":\\\"Cloud & DevOps\\\",\\\"items\\\":[\\\"Docker\\\"]},{\\\"label\\\":\\\"Tools\\\",\\\"items\\\":[\\\"Git\\\"]}],\\\"projects\\\":[{\\\"name\\\":\\\"busdelay\\\",\\\"has_link\\\":true,\\\"desc\\\":\\\"forecasts bus delays in Leeds from open GTFS feeds -\\\"},{\\\"name\\\":\\\"tidy-council\\\",\\\"has_link\\\":true,\\\"desc\\\":\\\"cleans and joins UK council spending CSVs\\\"},{\\\"name\\\":\\\"parkrun-stats\\\",\\\"has_link\\\":false,\\\"desc\\\":\\\"a notebook that charts my parkrun times by course\\\"}],\\\"link_services\\\":[\\\"LinkedIn\\\",\\\"Email\\\",\\\"Website\\\"],\\\"stats_cards\\\":[\\\"stats\\\",\\\"langs\\\"],\\\"warnings\\\":[]}\"}";
var req = java.net.http.HttpRequest.newBuilder(java.net.URI.create(base + "/run"))
    .header("Authorization", "Bearer " + token).header("Content-Type", "application/json")
    .header("Idempotency-Key", "profile-readme:write:k3x9q1-2f0:a1")
    .POST(java.net.http.HttpRequest.BodyPublishers.ofString(body)).build();
System.out.println(http.send(req, java.net.http.HttpResponse.BodyHandlers.ofString()).body());

require "net/http"
require "json"

TOKEN = "YOUR_TOKEN"
BASE = "https://api.skillsafe.ai/v1/app-api"

uri = URI("#{BASE}/run")
req = Net::HTTP::Post.new(uri)
req["Authorization"] = "Bearer #{TOKEN}"
req["Content-Type"] = "application/json"
req["Idempotency-Key"] = "profile-readme:write:k3x9q1-2f0:a1"
req.body = "{\"task\": \"write\", \"name\": \"Priya Raman\", \"handle\": \"priya-raman\", \"tagline\": \"MSc student in data science, into forecasting and messy real-world data\", \"location\": \"Leeds, UK\", \"about\": \"I'm finishing an MSc in data science. I like turning messy public datasets into forecasts people can actually use, and I write up what I learn as I go.\", \"now\": \"a dissertation on forecasting bus delays from open transit data\", \"learning\": \"Rust, slowly, and better SQL\", \"ask_me\": \"pandas, time series, making sense of a CSV nobody documented\", \"fun_fact\": \"I've run a parkrun in 31 different parks\", \"stack\": \"Python, pandas, NumPy, scikit-learn, PyTorch, SQL, PostgreSQL, Jupyter, Plotly, Git, Docker\", \"projects\": \"busdelay - forecasts bus delays in Leeds from open GTFS feeds | https://github.com/priya-raman/busdelay\\npriya-raman/tidy-council - cleans and joins UK council spending CSVs\\nparkrun-stats: a notebook that charts my parkrun times by course\", \"notes\": \"I'm looking for a data internship from June.\", \"links\": \"LinkedIn, Email, Website (priyaraman.dev)\", \"tone\": \"friendly\", \"emoji\": \"on\", \"prescan\": \"{\\\"stack\\\":[\\\"Python\\\",\\\"pandas\\\",\\\"NumPy\\\",\\\"scikit-learn\\\",\\\"PyTorch\\\",\\\"SQL\\\",\\\"PostgreSQL\\\",\\\"Jupyter\\\",\\\"Plotly\\\",\\\"Git\\\",\\\"Docker\\\"],\\\"stack_groups\\\":[{\\\"label\\\":\\\"Languages\\\",\\\"items\\\":[\\\"Python\\\",\\\"SQL\\\"]},{\\\"label\\\":\\\"Data & ML\\\",\\\"items\\\":[\\\"pandas\\\",\\\"NumPy\\\",\\\"scikit-learn\\\",\\\"PyTorch\\\",\\\"Jupyter\\\",\\\"Plotly\\\"]},{\\\"label\\\":\\\"Databases\\\",\\\"items\\\":[\\\"PostgreSQL\\\"]},{\\\"label\\\":\\\"Cloud & DevOps\\\",\\\"items\\\":[\\\"Docker\\\"]},{\\\"label\\\":\\\"Tools\\\",\\\"items\\\":[\\\"Git\\\"]}],\\\"projects\\\":[{\\\"name\\\":\\\"busdelay\\\",\\\"has_link\\\":true,\\\"desc\\\":\\\"forecasts bus delays in Leeds from open GTFS feeds -\\\"},{\\\"name\\\":\\\"tidy-council\\\",\\\"has_link\\\":true,\\\"desc\\\":\\\"cleans and joins UK council spending CSVs\\\"},{\\\"name\\\":\\\"parkrun-stats\\\",\\\"has_link\\\":false,\\\"desc\\\":\\\"a notebook that charts my parkrun times by course\\\"}],\\\"link_services\\\":[\\\"LinkedIn\\\",\\\"Email\\\",\\\"Website\\\"],\\\"stats_cards\\\":[\\\"stats\\\",\\\"langs\\\"],\\\"warnings\\\":[]}\"}"
res = Net::HTTP.start(uri.host, uri.port, use_ssl: true) { |h| h.request(req) }
puts JSON.parse(res.body)["data"]

<?php
$token = "YOUR_TOKEN";
$base  = "https://api.skillsafe.ai/v1/app-api";

$body = "{\"task\": \"write\", \"name\": \"Priya Raman\", \"handle\": \"priya-raman\", \"tagline\": \"MSc student in data science, into forecasting and messy real-world data\", \"location\": \"Leeds, UK\", \"about\": \"I'm finishing an MSc in data science. I like turning messy public datasets into forecasts people can actually use, and I write up what I learn as I go.\", \"now\": \"a dissertation on forecasting bus delays from open transit data\", \"learning\": \"Rust, slowly, and better SQL\", \"ask_me\": \"pandas, time series, making sense of a CSV nobody documented\", \"fun_fact\": \"I've run a parkrun in 31 different parks\", \"stack\": \"Python, pandas, NumPy, scikit-learn, PyTorch, SQL, PostgreSQL, Jupyter, Plotly, Git, Docker\", \"projects\": \"busdelay - forecasts bus delays in Leeds from open GTFS feeds | https://github.com/priya-raman/busdelay\\npriya-raman/tidy-council - cleans and joins UK council spending CSVs\\nparkrun-stats: a notebook that charts my parkrun times by course\", \"notes\": \"I'm looking for a data internship from June.\", \"links\": \"LinkedIn, Email, Website (priyaraman.dev)\", \"tone\": \"friendly\", \"emoji\": \"on\", \"prescan\": \"{\\\"stack\\\":[\\\"Python\\\",\\\"pandas\\\",\\\"NumPy\\\",\\\"scikit-learn\\\",\\\"PyTorch\\\",\\\"SQL\\\",\\\"PostgreSQL\\\",\\\"Jupyter\\\",\\\"Plotly\\\",\\\"Git\\\",\\\"Docker\\\"],\\\"stack_groups\\\":[{\\\"label\\\":\\\"Languages\\\",\\\"items\\\":[\\\"Python\\\",\\\"SQL\\\"]},{\\\"label\\\":\\\"Data & ML\\\",\\\"items\\\":[\\\"pandas\\\",\\\"NumPy\\\",\\\"scikit-learn\\\",\\\"PyTorch\\\",\\\"Jupyter\\\",\\\"Plotly\\\"]},{\\\"label\\\":\\\"Databases\\\",\\\"items\\\":[\\\"PostgreSQL\\\"]},{\\\"label\\\":\\\"Cloud & DevOps\\\",\\\"items\\\":[\\\"Docker\\\"]},{\\\"label\\\":\\\"Tools\\\",\\\"items\\\":[\\\"Git\\\"]}],\\\"projects\\\":[{\\\"name\\\":\\\"busdelay\\\",\\\"has_link\\\":true,\\\"desc\\\":\\\"forecasts bus delays in Leeds from open GTFS feeds -\\\"},{\\\"name\\\":\\\"tidy-council\\\",\\\"has_link\\\":true,\\\"desc\\\":\\\"cleans and joins UK council spending CSVs\\\"},{\\\"name\\\":\\\"parkrun-stats\\\",\\\"has_link\\\":false,\\\"desc\\\":\\\"a notebook that charts my parkrun times by course\\\"}],\\\"link_services\\\":[\\\"LinkedIn\\\",\\\"Email\\\",\\\"Website\\\"],\\\"stats_cards\\\":[\\\"stats\\\",\\\"langs\\\"],\\\"warnings\\\":[]}\"}";
$ch = curl_init("$base/run");
curl_setopt_array($ch, [
  CURLOPT_RETURNTRANSFER => true, CURLOPT_POST => true, CURLOPT_POSTFIELDS => $body,
  CURLOPT_HTTPHEADER => ["Authorization: Bearer $token", "Content-Type: application/json", "Idempotency-Key: profile-readme:write:k3x9q1-2f0:a1"],
]);
print_r(json_decode(curl_exec($ch), true)["data"]);

using System.Net.Http.Headers;
using System.Text;

var token = "YOUR_TOKEN";
var baseUrl = "https://api.skillsafe.ai/v1/app-api";
using var http = new HttpClient();
http.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("Bearer", token);

var body = new StringContent("{\"task\": \"write\", \"name\": \"Priya Raman\", \"handle\": \"priya-raman\", \"tagline\": \"MSc student in data science, into forecasting and messy real-world data\", \"location\": \"Leeds, UK\", \"about\": \"I'm finishing an MSc in data science. I like turning messy public datasets into forecasts people can actually use, and I write up what I learn as I go.\", \"now\": \"a dissertation on forecasting bus delays from open transit data\", \"learning\": \"Rust, slowly, and better SQL\", \"ask_me\": \"pandas, time series, making sense of a CSV nobody documented\", \"fun_fact\": \"I've run a parkrun in 31 different parks\", \"stack\": \"Python, pandas, NumPy, scikit-learn, PyTorch, SQL, PostgreSQL, Jupyter, Plotly, Git, Docker\", \"projects\": \"busdelay - forecasts bus delays in Leeds from open GTFS feeds | https://github.com/priya-raman/busdelay\\npriya-raman/tidy-council - cleans and joins UK council spending CSVs\\nparkrun-stats: a notebook that charts my parkrun times by course\", \"notes\": \"I'm looking for a data internship from June.\", \"links\": \"LinkedIn, Email, Website (priyaraman.dev)\", \"tone\": \"friendly\", \"emoji\": \"on\", \"prescan\": \"{\\\"stack\\\":[\\\"Python\\\",\\\"pandas\\\",\\\"NumPy\\\",\\\"scikit-learn\\\",\\\"PyTorch\\\",\\\"SQL\\\",\\\"PostgreSQL\\\",\\\"Jupyter\\\",\\\"Plotly\\\",\\\"Git\\\",\\\"Docker\\\"],\\\"stack_groups\\\":[{\\\"label\\\":\\\"Languages\\\",\\\"items\\\":[\\\"Python\\\",\\\"SQL\\\"]},{\\\"label\\\":\\\"Data & ML\\\",\\\"items\\\":[\\\"pandas\\\",\\\"NumPy\\\",\\\"scikit-learn\\\",\\\"PyTorch\\\",\\\"Jupyter\\\",\\\"Plotly\\\"]},{\\\"label\\\":\\\"Databases\\\",\\\"items\\\":[\\\"PostgreSQL\\\"]},{\\\"label\\\":\\\"Cloud & DevOps\\\",\\\"items\\\":[\\\"Docker\\\"]},{\\\"label\\\":\\\"Tools\\\",\\\"items\\\":[\\\"Git\\\"]}],\\\"projects\\\":[{\\\"name\\\":\\\"busdelay\\\",\\\"has_link\\\":true,\\\"desc\\\":\\\"forecasts bus delays in Leeds from open GTFS feeds -\\\"},{\\\"name\\\":\\\"tidy-council\\\",\\\"has_link\\\":true,\\\"desc\\\":\\\"cleans and joins UK council spending CSVs\\\"},{\\\"name\\\":\\\"parkrun-stats\\\",\\\"has_link\\\":false,\\\"desc\\\":\\\"a notebook that charts my parkrun times by course\\\"}],\\\"link_services\\\":[\\\"LinkedIn\\\",\\\"Email\\\",\\\"Website\\\"],\\\"stats_cards\\\":[\\\"stats\\\",\\\"langs\\\"],\\\"warnings\\\":[]}\"}", Encoding.UTF8, "application/json");
http.DefaultRequestHeaders.Add("Idempotency-Key", "profile-readme:write:k3x9q1-2f0:a1");
var res = await http.PostAsync($"{baseUrl}/run", body);
Console.WriteLine(await res.Content.ReadAsStringAsync());

curl -s "https://api.skillsafe.ai/v1/app-api/jobs/JOB_ID" \
  -H "Authorization: Bearer YOUR_TOKEN"
# repeat until data.status is "succeeded" or "failed";
# the reply is the JSON string at data.output.output

import requests

TOKEN = "YOUR_TOKEN"
BASE = "https://api.skillsafe.ai/v1/app-api"
H = {"Authorization": f"Bearer {TOKEN}", "Content-Type": "application/json"}

import json, time
job_id = "JOB_ID"
while True:
    job = requests.get(f"{BASE}/jobs/{job_id}", headers=H, timeout=30).json()["data"]
    if job["status"] in ("succeeded", "failed"):
        break
    time.sleep(1)
readme = json.loads(job["output"]["output"])
print(readme["status"], readme["tagline"])

const TOKEN = "YOUR_TOKEN";
const BASE = "https://api.skillsafe.ai/v1/app-api";
const H = { Authorization: `Bearer ${TOKEN}`, "Content-Type": "application/json" };

let job;
for (;;) {
  job = (await (await fetch(`${BASE}/jobs/JOB_ID`, { headers: H })).json()).data;
  if (job.status === "succeeded" || job.status === "failed") break;
  await new Promise((r) => setTimeout(r, 1000));
}
const prose = JSON.parse(job.output.output);
console.log(prose.status, prose.tagline);

package main

import ("bytes"; "encoding/json"; "fmt"; "net/http")

const base = "https://api.skillsafe.ai/v1/app-api"
const token = "YOUR_TOKEN"

// GET base+"/jobs/JOB_ID" every second until data.status is
// "succeeded" or "failed", then json.Unmarshal data.output.output.
func main() { fmt.Println("poll", base+"/jobs/JOB_ID"); _ = bytes.NewReader; _ = json.Marshal; _ = http.Get }

var token = "YOUR_TOKEN";
var base = "https://api.skillsafe.ai/v1/app-api";
var http = java.net.http.HttpClient.newHttpClient();

// GET base + "/jobs/JOB_ID" every second until data.status is
// "succeeded" or "failed"; the reply is the JSON string at data.output.output.

require "net/http"
require "json"

TOKEN = "YOUR_TOKEN"
BASE = "https://api.skillsafe.ai/v1/app-api"

loop do
  uri = URI("#{BASE}/jobs/JOB_ID")
  req = Net::HTTP::Get.new(uri)
  req["Authorization"] = "Bearer #{TOKEN}"
  job = JSON.parse(Net::HTTP.start(uri.host, uri.port, use_ssl: true) { |h| h.request(req) }.body)["data"]
  if %w[succeeded failed].include?(job["status"])
    puts JSON.parse(job["output"]["output"])["tagline"]
    break
  end
  sleep 1
end

<?php
$token = "YOUR_TOKEN";
$base  = "https://api.skillsafe.ai/v1/app-api";

do {
  $ch = curl_init("$base/jobs/JOB_ID");
  curl_setopt_array($ch, [CURLOPT_RETURNTRANSFER => true, CURLOPT_HTTPHEADER => ["Authorization: Bearer $token"]]);
  $job = json_decode(curl_exec($ch), true)["data"];
  if (!in_array($job["status"], ["succeeded", "failed"])) sleep(1);
} while (!in_array($job["status"], ["succeeded", "failed"]));
print_r(json_decode($job["output"]["output"], true)["tagline"]);

using System.Net.Http.Headers;
using System.Text;

var token = "YOUR_TOKEN";
var baseUrl = "https://api.skillsafe.ai/v1/app-api";
using var http = new HttpClient();
http.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("Bearer", token);

// GET {baseUrl}/jobs/JOB_ID every second until data.status is
// "succeeded" or "failed"; the reply is the JSON string at data.output.output.

curl -sN -X POST "https://api.skillsafe.ai/v1/app-api/run-stream" \
  -H "Authorization: Bearer YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Accept: text/event-stream" \
  -H "Idempotency-Key: profile-readme:write:k3x9q1-2f0:a1" \
  -d '{"task": "write", "name": "Priya Raman", "handle": "priya-raman", "tagline": "MSc student in data science, into forecasting and messy real-world data", "location": "Leeds, UK", "about": "I'\''m finishing an MSc in data science. I like turning messy public datasets into forecasts people can actually use, and I write up what I learn as I go.", "now": "a dissertation on forecasting bus delays from open transit data", "learning": "Rust, slowly, and better SQL", "ask_me": "pandas, time series, making sense of a CSV nobody documented", "fun_fact": "I'\''ve run a parkrun in 31 different parks", "stack": "Python, pandas, NumPy, scikit-learn, PyTorch, SQL, PostgreSQL, Jupyter, Plotly, Git, Docker", "projects": "busdelay - forecasts bus delays in Leeds from open GTFS feeds | https://github.com/priya-raman/busdelay\npriya-raman/tidy-council - cleans and joins UK council spending CSVs\nparkrun-stats: a notebook that charts my parkrun times by course", "notes": "I'\''m looking for a data internship from June.", "links": "LinkedIn, Email, Website (priyaraman.dev)", "tone": "friendly", "emoji": "on", "prescan": "{\"stack\":[\"Python\",\"pandas\",\"NumPy\",\"scikit-learn\",\"PyTorch\",\"SQL\",\"PostgreSQL\",\"Jupyter\",\"Plotly\",\"Git\",\"Docker\"],\"stack_groups\":[{\"label\":\"Languages\",\"items\":[\"Python\",\"SQL\"]},{\"label\":\"Data & ML\",\"items\":[\"pandas\",\"NumPy\",\"scikit-learn\",\"PyTorch\",\"Jupyter\",\"Plotly\"]},{\"label\":\"Databases\",\"items\":[\"PostgreSQL\"]},{\"label\":\"Cloud & DevOps\",\"items\":[\"Docker\"]},{\"label\":\"Tools\",\"items\":[\"Git\"]}],\"projects\":[{\"name\":\"busdelay\",\"has_link\":true,\"desc\":\"forecasts bus delays in Leeds from open GTFS feeds -\"},{\"name\":\"tidy-council\",\"has_link\":true,\"desc\":\"cleans and joins UK council spending CSVs\"},{\"name\":\"parkrun-stats\",\"has_link\":false,\"desc\":\"a notebook that charts my parkrun times by course\"}],\"link_services\":[\"LinkedIn\",\"Email\",\"Website\"],\"stats_cards\":[\"stats\",\"langs\"],\"warnings\":[]}"}'
# event: job   data: {"job_id": ...}
# event: delta data: {"text": "..."}   (may be absent: a browser often gets only
# event: tick  heartbeats and the whole answer in the final frame)
# event: done  data: {"output": {"output": "<the JSON reply>"}, "charged_credits": ..., "truncated": false}

import requests

TOKEN = "YOUR_TOKEN"
BASE = "https://api.skillsafe.ai/v1/app-api"
H = {"Authorization": f"Bearer {TOKEN}", "Content-Type": "application/json"}

import json
body = {"task": "write", "name": "Priya Raman", "handle": "priya-raman", "tagline": "MSc student in data science, into forecasting and messy real-world data", "location": "Leeds, UK", "about": "I'm finishing an MSc in data science. I like turning messy public datasets into forecasts people can actually use, and I write up what I learn as I go.", "now": "a dissertation on forecasting bus delays from open transit data", "learning": "Rust, slowly, and better SQL", "ask_me": "pandas, time series, making sense of a CSV nobody documented", "fun_fact": "I've run a parkrun in 31 different parks", "stack": "Python, pandas, NumPy, scikit-learn, PyTorch, SQL, PostgreSQL, Jupyter, Plotly, Git, Docker", "projects": "busdelay - forecasts bus delays in Leeds from open GTFS feeds | https://github.com/priya-raman/busdelay\npriya-raman/tidy-council - cleans and joins UK council spending CSVs\nparkrun-stats: a notebook that charts my parkrun times by course", "notes": "I'm looking for a data internship from June.", "links": "LinkedIn, Email, Website (priyaraman.dev)", "tone": "friendly", "emoji": "on", "prescan": "{\"stack\":[\"Python\",\"pandas\",\"NumPy\",\"scikit-learn\",\"PyTorch\",\"SQL\",\"PostgreSQL\",\"Jupyter\",\"Plotly\",\"Git\",\"Docker\"],\"stack_groups\":[{\"label\":\"Languages\",\"items\":[\"Python\",\"SQL\"]},{\"label\":\"Data & ML\",\"items\":[\"pandas\",\"NumPy\",\"scikit-learn\",\"PyTorch\",\"Jupyter\",\"Plotly\"]},{\"label\":\"Databases\",\"items\":[\"PostgreSQL\"]},{\"label\":\"Cloud & DevOps\",\"items\":[\"Docker\"]},{\"label\":\"Tools\",\"items\":[\"Git\"]}],\"projects\":[{\"name\":\"busdelay\",\"has_link\":true,\"desc\":\"forecasts bus delays in Leeds from open GTFS feeds -\"},{\"name\":\"tidy-council\",\"has_link\":true,\"desc\":\"cleans and joins UK council spending CSVs\"},{\"name\":\"parkrun-stats\",\"has_link\":false,\"desc\":\"a notebook that charts my parkrun times by course\"}],\"link_services\":[\"LinkedIn\",\"Email\",\"Website\"],\"stats_cards\":[\"stats\",\"langs\"],\"warnings\":[]}"}
with requests.post(f"{BASE}/run-stream", json=body, stream=True, timeout=300,
                   headers={**H, "Accept": "text/event-stream", "Idempotency-Key": "profile-readme:write:k3x9q1-2f0:a1"}) as r:
    event, done = None, None
    for line in r.iter_lines(decode_unicode=True):
        if line.startswith("event:"): event = line[6:].strip()
        elif line.startswith("data:") and event == "done": done = json.loads(line[5:])
prose = json.loads(done["output"]["output"])
print(prose["tagline"], done.get("charged_credits"), done.get("truncated"))

const TOKEN = "YOUR_TOKEN";
const BASE = "https://api.skillsafe.ai/v1/app-api";
const H = { Authorization: `Bearer ${TOKEN}`, "Content-Type": "application/json" };

const res = await fetch(`${BASE}/run-stream`, { method: "POST",
  headers: { ...H, Accept: "text/event-stream", "Idempotency-Key": "profile-readme:write:k3x9q1-2f0:a1" },
  body: JSON.stringify({"task": "write", "name": "Priya Raman", "handle": "priya-raman", "tagline": "MSc student in data science, into forecasting and messy real-world data", "location": "Leeds, UK", "about": "I'm finishing an MSc in data science. I like turning messy public datasets into forecasts people can actually use, and I write up what I learn as I go.", "now": "a dissertation on forecasting bus delays from open transit data", "learning": "Rust, slowly, and better SQL", "ask_me": "pandas, time series, making sense of a CSV nobody documented", "fun_fact": "I've run a parkrun in 31 different parks", "stack": "Python, pandas, NumPy, scikit-learn, PyTorch, SQL, PostgreSQL, Jupyter, Plotly, Git, Docker", "projects": "busdelay - forecasts bus delays in Leeds from open GTFS feeds | https://github.com/priya-raman/busdelay\npriya-raman/tidy-council - cleans and joins UK council spending CSVs\nparkrun-stats: a notebook that charts my parkrun times by course", "notes": "I'm looking for a data internship from June.", "links": "LinkedIn, Email, Website (priyaraman.dev)", "tone": "friendly", "emoji": "on", "prescan": "{\"stack\":[\"Python\",\"pandas\",\"NumPy\",\"scikit-learn\",\"PyTorch\",\"SQL\",\"PostgreSQL\",\"Jupyter\",\"Plotly\",\"Git\",\"Docker\"],\"stack_groups\":[{\"label\":\"Languages\",\"items\":[\"Python\",\"SQL\"]},{\"label\":\"Data & ML\",\"items\":[\"pandas\",\"NumPy\",\"scikit-learn\",\"PyTorch\",\"Jupyter\",\"Plotly\"]},{\"label\":\"Databases\",\"items\":[\"PostgreSQL\"]},{\"label\":\"Cloud & DevOps\",\"items\":[\"Docker\"]},{\"label\":\"Tools\",\"items\":[\"Git\"]}],\"projects\":[{\"name\":\"busdelay\",\"has_link\":true,\"desc\":\"forecasts bus delays in Leeds from open GTFS feeds -\"},{\"name\":\"tidy-council\",\"has_link\":true,\"desc\":\"cleans and joins UK council spending CSVs\"},{\"name\":\"parkrun-stats\",\"has_link\":false,\"desc\":\"a notebook that charts my parkrun times by course\"}],\"link_services\":[\"LinkedIn\",\"Email\",\"Website\"],\"stats_cards\":[\"stats\",\"langs\"],\"warnings\":[]}"}) });
const text = await res.text();   // or read res.body incrementally
let done = null;
for (const frame of text.split("\n\n")) {
  const ev = /^event: *(.*)$/m.exec(frame), data = /^data: *(.*)$/m.exec(frame);
  if (ev && ev[1] === "done" && data) done = JSON.parse(data[1]);
}
const prose = JSON.parse(done.output.output);
console.log(prose.tagline, done.truncated);

package main

import ("bytes"; "encoding/json"; "fmt"; "net/http")

const base = "https://api.skillsafe.ai/v1/app-api"
const token = "YOUR_TOKEN"

// POST base+"/run-stream" with Accept: text/event-stream, read lines with
// bufio.Scanner, and json.Unmarshal the data line of the "done" event.
func main() { fmt.Println("see the cURL tab for the frame format"); _ = bytes.NewReader; _ = json.Marshal; _ = http.Get }

var token = "YOUR_TOKEN";
var base = "https://api.skillsafe.ai/v1/app-api";
var http = java.net.http.HttpClient.newHttpClient();

// POST base + "/run-stream" with Accept: text/event-stream, read the body
// line by line (BodyHandlers.ofLines()), and parse the data line of the "done" event.

require "net/http"
require "json"

TOKEN = "YOUR_TOKEN"
BASE = "https://api.skillsafe.ai/v1/app-api"

# POST to "#{BASE}/run-stream" with Accept: text/event-stream; read the body,
# split frames on blank lines, and JSON.parse the data line of the "done" event.

<?php
$token = "YOUR_TOKEN";
$base  = "https://api.skillsafe.ai/v1/app-api";

// POST to "$base/run-stream" with Accept: text/event-stream; split the body on
// blank lines and json_decode the data line of the "done" event.

using System.Net.Http.Headers;
using System.Text;

var token = "YOUR_TOKEN";
var baseUrl = "https://api.skillsafe.ai/v1/app-api";
using var http = new HttpClient();
http.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("Bearer", token);

// POST {baseUrl}/run-stream with Accept: text/event-stream; read the response
// stream line by line and parse the data line of the "done" event.