Speak Hello World

What it does

When your agent uses it

• Starting a new Speak integration
• Testing your setup
• Learning basic language learning API patterns
• With phrases like speak hello world

Example prompts

• “speak hello world”
• “speak example”
• “speak quick start”
• “/speak-hello-world”

Requirements

• A credential in SPEAK_API_KEY
• Compatibility (from SKILL.md): Designed for Claude Code
• Pre-approved tools (allowed-tools): Read, Write, Edit, Bash(npm:*), Bash(node:*)

Workflow steps

4 steps, taken from the step headings in SKILL.md.

1. 1Start a Conversation Session
2. 2Send a Student Response
3. 3Pronunciation Assessment
4. 4End Session and Review

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves these tools, so the agent can use them without asking each time:

  • Read
  • Write
  • Edit
  • Bash(npm:*)
  • Bash(node:*)

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  No scripts in the folder and no shell commands in SKILL.md (its code samples are typescript).

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  Links to these hosts (documentation or services it may open):

  • speak.com
  • platform.openai.com

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names these keys or tokens, usually read from environment variables:

  • SPEAK_API_KEY

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

• Compatibility

  Designed for Claude Code

  From compatibility in the SKILL.md frontmatter.

Context cost

Speak Hello World loads about 1.1k tokens when it runs, and up to ~2k if it reads all its reference files. Until then it costs about 78 tokens; SKILL.md has 199 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~78

When it runs · the whole SKILL.md, loaded when a task matches

~1.1k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 199 words, ~1,109 tokens.

name

speak-hello-world

description

Create your first Speak AI tutoring session with pronunciation feedback. Use when starting a new Speak integration, testing your setup, or learning basic language learning API patterns. Trigger with phrases like "speak hello world", "speak example", "speak quick start", "first speak lesson".

allowed-tools

Read, Write, Edit, Bash(npm:*), Bash(node:*)

compatibility

Designed for Claude Code

version

1.14.0

license

MIT

author

Jeremy Longshore <jeremy@intentsolutions.io>

tags

saas, speak, api, testing

import { SpeakClient } from '@speak/language-sdk';

const client = new SpeakClient({
  apiKey: process.env.SPEAK_API_KEY!,
  appId: process.env.SPEAK_APP_ID!,
  language: 'es',
});

// Start a beginner Spanish lesson
const session = await client.startConversation({
  scenario: 'greetings',
  language: 'es',
  level: 'beginner',
  nativeLanguage: 'en',
});

console.log('Session ID:', session.id);
console.log('AI Tutor:', session.firstPrompt.text);
// Output: "Hola! Bienvenido a tu leccion de espanol. Como te llamas?"
console.log('Audio URL:', session.firstPrompt.audioUrl);

// Submit text response (or audio file for pronunciation scoring)
const turn = await client.sendTurn(session.id, {
  text: 'Hola, me llamo Juan. Mucho gusto.',
  // Or: audioPath: './recordings/response.wav'
});

console.log('Tutor response:', turn.tutorText);
console.log('Pronunciation score:', turn.pronunciationScore); // 0-100
console.log('Grammar corrections:', turn.corrections);
// Output: [{original: "me llamo", suggestion: null, correct: true}]
console.log('Vocabulary notes:', turn.vocabularyNotes);

// Assess pronunciation of a specific phrase
const assessment = await client.assessPronunciation({
  audioPath: './recordings/hola-como-estas.wav',
  targetText: 'Hola, como estas?',
  language: 'es',
  detailLevel: 'phoneme', // 'word' or 'phoneme'
});

console.log(`Overall score: ${assessment.score}/100`);
for (const word of assessment.words) {
  console.log(`  "${word.text}": ${word.score}/100`);
  if (word.phonemes) {
    for (const p of word.phonemes.filter(p => p.score < 70)) {
      console.log(`    Weak phoneme: ${p.symbol} (${p.score}) - ${p.suggestion}`);
    }
  }
}

const summary = await client.endSession(session.id);
console.log('Session Summary:');
console.log(`  Duration: ${summary.durationMinutes} min`);
console.log(`  Turns: ${summary.totalTurns}`);
console.log(`  Pronunciation: ${summary.avgPronunciationScore}/100`);
console.log(`  Grammar: ${summary.grammarAccuracy}%`);
console.log(`  New vocabulary: ${summary.newWords.join(', ')}`);

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skills/.curated/speak-hello-world of jeremylongshore/tons-of-skills-marketplace.

• SKILL.md
• references/implementation-guide.md

Open the folder on GitHubat commit cfae287