micsapp Speak CI Integration
Overview
Integrate Speak language learning API validation into CI/CD pipelines. Covers pronunciation analysis endpoint testing, lesson content validation, API response format verification, and regression testing for language assessment accuracy.
Prerequisites
- Speak API key stored as GitHub secret
- GitHub Actions configured
- Test framework (Vitest or Jest)
- Audio test fixtures for pronunciation tests
Instructions
- For full implementation details, load:
Read(${CLAUDE_SKILL_DIR}/references/implementation-guide.md)
Error Handling
| Issue | Cause | Solution |
|---|---|---|
| API key invalid | Secret not set | Add SPEAK_API_KEY to repo secrets |
| Audio fixture too large | Uncompressed WAV | Compress to 16-bit mono |
| Lesson validation fails | Missing required field | Check schema and fix JSON files |
| Flaky pronunciation test | Audio quality varies | Use consistent test recordings |
Examples
Minimal Smoke Test
- name: Speak API health check
env:
SPEAK_API_KEY: ${{ secrets.SPEAK_API_KEY }}
run: |
curl -s -H "Authorization: Bearer $SPEAK_API_KEY" \
https://api.speak.com/v1/languages | jq '.languages | length'
Resources
Output
- Configuration files or code changes applied to the project
- Validation report confirming correct implementation
- Summary of changes made and their rationale
See CI/CD implementation details for output format specifications.