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Skillv1.0.0

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 langu

by jeremylongshore(0) 0 installs
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About

Imported from jeremylongshore/tons-of-skills-marketplace (skills/.curated/speak-prod-checklist/SKILL.md). Install upstream with npx skills add jeremylongshore/tons-of-skills-marketplace --skill speak-prod-checklist. Copyright stays with the author (MIT).

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

#!/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

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.

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

yaml
targets:
  - https://api.opensmartroute.ai/api/v1/registry/jeremylongshore-tons-of-skills-marketplace-speak-prod-checklist/manifest   # or paste the manifest below

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

jeremylongshore-tons-of-skills-marketplace-speak-prod-checklist.ocm.jsonjson
{
  "ocm": "1",
  "id": "jeremylongshore-tons-of-skills-marketplace-speak-prod-checklist",
  "kind": "skill",
  "name": "speak-prod-checklist",
  "description": "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\".",
  "publisher": "jeremylongshore",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "legal"
    ],
    "tags": [
      "skill-md",
      "saas",
      "speak",
      "api",
      "skills-sh"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "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\"."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "skills.sh",
      "repository": "https://github.com/jeremylongshore/tons-of-skills-marketplace",
      "path": "skills/.curated/speak-prod-checklist/SKILL.md",
      "ref": "HEAD",
      "url": "https://github.com/jeremylongshore/tons-of-skills-marketplace/blob/HEAD/skills/.curated/speak-prod-checklist/SKILL.md",
      "key": "jeremylongshore/tons-of-skills-marketplace/skills/.curated/speak-prod-checklist/SKILL.md"
    },
    "compatibility": "Designed for Claude Code",
    "allowed_tools": [
      "Read,",
      "Write,",
      "Edit,",
      "Bash(npm:*),",
      "Bash(curl:*),",
      "Grep"
    ],
    "license": "MIT"
  },
  "instructions": "# Speak Production Checklist\n\n## Overview\n\nProduction readiness checklist for Speak language learning integrations: auth, audio pipeline, monitoring, and compliance.\n\n## Prerequisites\n\n- Completed `speak-install-auth` setup\n- Valid API credentials configured\n- ffmpeg installed for audio processing\n\n## Instructions\n\n### Authentication\n\n- [ ] API keys stored in secrets manager\n- [ ] Key rotation schedule established (90 days)\n- [ ] Separate keys for dev/staging/production\n- [ ] Error handling for expired keys\n\n### Audio Pipeline\n\n- [ ] Audio preprocessor converts to WAV 16kHz mono\n- [ ] File siz",
  "cost": {
    "context_tokens": 688
  }
}

Fetch it by URL: GET /api/v1/registry/jeremylongshore-tons-of-skills-marketplace-speak-prod-checklist/manifest?version=1.0.0

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