speak-prod-checklist

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".

1,868 stars

Best use case

speak-prod-checklist is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

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".

Teams using speak-prod-checklist 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

$curl -o ~/.claude/skills/speak-prod-checklist/SKILL.md --create-dirs "https://raw.githubusercontent.com/jeremylongshore/claude-code-plugins-plus-skills/main/plugins/saas-packs/speak-pack/skills/speak-prod-checklist/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/speak-prod-checklist/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How speak-prod-checklist Compares

Feature / Agentspeak-prod-checklistStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

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".

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.

Related Guides

SKILL.md Source

# 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 "Speak Production Readiness"
curl -sf -H "Authorization: Bearer $SPEAK_API_KEY" \
  https://api.speak.com/v1/health | jq '.status'
echo "  Auth: PASS"
ffmpeg -version > /dev/null 2>&1 && echo "  ffmpeg: PASS" || echo "  ffmpeg: FAIL"
echo "Checks complete."
```

## Output
- Checklist 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 prod checklist with default configuration for a standard Speak integration.

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

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