speak-sdk-patterns

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Source

Apply production-ready Speak SDK patterns for TypeScript and Python. Use when implementing Speak integrations, refactoring SDK usage, or establishing team coding standards for language learning features. Trigger with phrases like "speak SDK patterns", "speak best practices", "speak code patterns", "idiomatic speak".

Install

mkdir -p .claude/skills/speak-sdk-patterns && curl -L -o skill.zip "https://mcp.directory/api/skills/download/8053" && unzip -o skill.zip -d .claude/skills/speak-sdk-patterns && rm skill.zip

Installs to .claude/skills/speak-sdk-patterns

About this skill

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

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

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

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

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

ErrorCauseSolution
401 UnauthorizedInvalid API keyVerify SPEAK_API_KEY environment variable
429 Rate LimitedToo many requestsWait Retry-After seconds, use backoff
Audio format errorWrong codec/sample rateConvert to WAV 16kHz mono with ffmpeg
Session expiredTimeout after 30 minStart a new conversation session

Resources

Next Steps

See speak-prod-checklist for production readiness.

Examples

Basic: Apply sdk patterns with default configuration for a standard Speak integration.

Advanced: Customize for production with error recovery, monitoring, and team-specific requirements.

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