speak-sdk-patterns
Production patterns for Speak language learning API: conversation sessions, pronunciation assessment, audio preprocessing, and batch operations. Use when implementing sdk patterns features, or troubleshooting Speak language learning integration issues. Trigger with phrases like "speak sdk patterns", "speak sdk patterns".
Best use case
speak-sdk-patterns is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Production patterns for Speak language learning API: conversation sessions, pronunciation assessment, audio preprocessing, and batch operations. Use when implementing sdk patterns features, or troubleshooting Speak language learning integration issues. Trigger with phrases like "speak sdk patterns", "speak sdk patterns".
Teams using speak-sdk-patterns should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/speak-sdk-patterns/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How speak-sdk-patterns Compares
| Feature / Agent | speak-sdk-patterns | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Production patterns for Speak language learning API: conversation sessions, pronunciation assessment, audio preprocessing, and batch operations. Use when implementing sdk patterns features, or troubleshooting Speak language learning integration issues. Trigger with phrases like "speak sdk patterns", "speak sdk patterns".
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Speak SDK Patterns
## Overview
Production patterns for Speak language learning API: conversation sessions, pronunciation assessment, audio preprocessing, and batch operations.
## Prerequisites
- Completed `speak-install-auth` setup
- Valid API credentials configured
- ffmpeg installed for audio processing
## Instructions
### Pattern 1: Conversation Session Manager
```typescript
class ConversationManager {
private client: SpeakClient;
private sessions: Map<string, SessionState> = new Map();
async startLesson(language: string, scenario: string, level: string) {
const session = await this.client.startConversation({
scenario, language, level, nativeLanguage: 'en',
});
this.sessions.set(session.id, {
turns: [], startTime: Date.now(), language,
});
return session;
}
async submitResponse(sessionId: string, audioPath: string) {
const turn = await this.client.sendTurn(sessionId, { audioPath });
this.sessions.get(sessionId)?.turns.push(turn);
return turn;
}
async endAndReport(sessionId: string) {
const summary = await this.client.endSession(sessionId);
const state = this.sessions.get(sessionId)!;
return {
...summary,
duration: (Date.now() - state.startTime) / 1000,
totalTurns: state.turns.length,
avgPronunciation: state.turns.reduce((s, t) =>
s + (t.pronunciationScore || 0), 0) / state.turns.length,
};
}
}
```
### Pattern 2: Audio Preprocessor
```typescript
import { execSync } from 'child_process';
function preprocessAudio(inputPath: string): string {
const outputPath = inputPath.replace(/\.[^.]+$/, '.processed.wav');
// Convert to WAV 16kHz mono PCM — required by Speak API
execSync(
`ffmpeg -y -i "${inputPath}" -ar 16000 -ac 1 -c:a pcm_s16le "${outputPath}"`,
{ stdio: 'pipe' }
);
return outputPath;
}
```
### Pattern 3: Retry with Backoff
```typescript
async function withRetry<T>(fn: () => Promise<T>, maxRetries = 3): Promise<T> {
for (let i = 0; i < maxRetries; i++) {
try {
return await fn();
} catch (err: any) {
if (err.response?.status === 429 && i < maxRetries - 1) {
const wait = parseInt(err.response.headers['retry-after'] || '5');
await new Promise(r => setTimeout(r, wait * 1000));
continue;
}
throw err;
}
}
throw new Error('Max retries exceeded');
}
```
### Pattern 4: Progress Tracker
```typescript
class LearningProgress {
private history: SessionSummary[] = [];
addSession(summary: SessionSummary) {
this.history.push(summary);
}
getReport() {
const recent = this.history.slice(-10);
return {
totalSessions: this.history.length,
avgPronunciation: recent.reduce((s, h) => s + h.avgPronunciationScore, 0) / recent.length,
totalMinutes: this.history.reduce((s, h) => s + h.durationMinutes, 0),
vocabularyLearned: [...new Set(this.history.flatMap(h => h.newWords))].length,
};
}
}
```
## Output
- Patterns implementation complete
- Speak API integration verified
- Production-ready patterns applied
## Error Handling
| Error | Cause | Solution |
|-------|-------|----------|
| 401 Unauthorized | Invalid API key | Verify SPEAK_API_KEY environment variable |
| 429 Rate Limited | Too many requests | Wait Retry-After seconds, use backoff |
| Audio format error | Wrong codec/sample rate | Convert to WAV 16kHz mono with ffmpeg |
| Session expired | Timeout after 30 min | Start a new conversation session |
## Resources
- [Speak Website](https://speak.com)
- [OpenAI Realtime API](https://platform.openai.com/docs/guides/realtime)
- [Speak GPT-4 Blog](https://speak.com/blog/speak-gpt-4)
## Next Steps
See `speak-prod-checklist` for production readiness.
## Examples
**Basic**: Apply sdk patterns with default configuration for a standard Speak integration.
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