speak-prod-checklist

Solid

Production readiness checklist for Speak language learning integrations: auth, audio pipeline, monitoring, and compliance. Use when implementing prod checklist features, or troubleshooting Speak language learning integration issues. Trigger with phrases like "speak prod checklist", "speak prod checklist".

AI & Automation 2,266 stars 315 forks Updated today MIT

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Skill Content

# Speak Production Checklist ## Overview Production readiness checklist for Speak language learning integrations: auth, audio pipeline, monitoring, and compliance. ## Prerequisites - Completed `speak-install-auth` setup - Valid API credentials configured - ffmpeg installed for audio processing ## Instructions ### Authentication - [ ] API keys stored in secrets manager - [ ] Key rotation schedule established (90 days) - [ ] Separate keys for dev/staging/production - [ ] Error handling for expired keys ### Audio Pipeline - [ ] Audio preprocessor converts to WAV 16kHz mono - [ ] File size validation (< 25MB) - [ ] Duration validation (0.5s - 60s) - [ ] Background noise detection/warning - [ ] Fallback for unsupported audio formats ### Rate Limiting & Performance - [ ] Rate-limited client wrapper implemented - [ ] Retry logic with exponential backoff on 429 - [ ] Request queue for batch assessments - [ ] Response caching where appropriate ### Monitoring & Alerting - [ ] API response time tracking - [ ] Error rate monitoring (target < 1%) - [ ] Rate limit hit tracking - [ ] Assessment score distribution monitoring - [ ] Session completion rate tracking ### Compliance - [ ] Student data privacy policy documented - [ ] Audio data retention policy implemented - [ ] COPPA compliance verified (if applicable) - [ ] FERPA compliance verified (if educational) - [ ] GDPR data processing agreement (if EU users) ### Verification Script ```bash #!/bin/bash set -euo pipefail echo "Spe...

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Author
jeremylongshore
Repository
jeremylongshore/claude-code-plugins-plus-skills
Created
7 months ago
Last Updated
today
Language
Python
License
MIT

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