Anthropic Production Checklist
SkillAI & models"Production readiness checklist for Claude-powered applications \u2014\
Use Anthropic Production Checklist in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add Anthropic Production Checklist and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the Anthropic Production Checklist skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by jeremylongshore/tons-of-skills-marketplace in skills/.curated/clade-prod-checklist/SKILL.md and read by ahel’s review.
Overview
Before going live with a Claude-powered app, verify every item below.
Authentication & Security
- API key stored in secrets manager (not in code or env file on disk)
- Key rotated — not the same one used during development
- Server-side only — no key exposed to client/browser
- Per-user rate limiting in place
- Input validation: max length, content filtering
- System prompt includes injection guardrails
Output
- All checklist items verified (authentication, error handling, streaming, cost, monitoring, reliability, content, performance)
- Production API key configured with appropriate spending limits
- Monitoring and alerting in place
- Fallback behavior tested for API outages
Error Handling
- All Anthropic API calls wrapped in try/catch
-
RateLimitError(429) → backoff and retry -
OverloadedError(529) → fallback model or queue -
AuthenticationError(401) → alert team, don't retry -
InvalidRequestError(400) → log and fix, don't retry - Network errors → retry with backoff
- Request IDs logged for every error (for support tickets)
Streaming
- Using
client.messages.stream()for user-facing responses - Stream errors handled (connection drops, incomplete responses)
-
stop_reasonchecked:end_turnvsmax_tokens(incomplete)
Cost Controls
-
max_tokensset to realistic values (not 4096 for short answers) - Correct model for each task (Haiku for simple, Sonnet for balanced)
- Prompt caching enabled for repeated system prompts
- Usage logging in place — tracking tokens and cost per request
- Spending alerts set in Anthropic console
Monitoring
- Response latency tracked (TTFT and total)
- Token usage tracked (input/output per request)
- Error rates dashboarded (by error type)
- Anthropic status page monitored (status.anthropic.com)
Reliability
- SDK
maxRetriesset (default 2 is fine for most) - Timeout configured for your use case (
timeoutoption) - Single client instance reused (not created per request)
- Graceful degradation if Claude is down (cached responses, fallback)
Content & Compliance
- System prompt tested against edge cases and adversarial inputs
- Output validated before showing to users (JSON parsing, length)
- Data retention settings configured in Anthropic console
- No unnecessary PII in prompts
- Usage policy compliance (Anthropic's Acceptable Use Policy)
Performance
- p95 latency acceptable for your UX
- Prompt caching for latency-sensitive paths
- Parallel requests where possible (
Promise.all) - Client-side streaming UI implemented
Examples
Each section above is a verifiable checklist. Work through Authentication & Security, Error Handling, Streaming, Cost Controls, Monitoring, Reliability, Content & Compliance, and Performance sections.
Resources
- API Best Practices
- Error Handling
- Rate Limits
- Acceptable Use Policy
Next Steps
See clade-observability for monitoring setup.
Prerequisites
- All other anthropic skills reviewed
- Application feature-complete and tested locally
- Production API key created (separate from dev)
- Deployment platform selected
Instructions
Step 1: Review the patterns below
Each section contains production-ready code examples. Copy and adapt them to your use case.
Step 2: Apply to your codebase
Integrate the patterns that match your requirements. Test each change individually.
Step 3: Verify
Run your test suite to confirm the integration works correctly.
Signals
- GitHub stars
- 3k
- Forks
- 415
- Last commit
- Oct 2026
Advanced
- Item type
- skill
- Key
clade-prod-checklist- Source
- github.com/jeremylongshore/tons-of-skills-marketplace
github.com/jeremylongshore/tons-of-skills-marketplace
Related picks
Skill · naodeng
The pick for Secretssecrets-with-git-crypt
Skill · derailed-dash
The pick for Secretsskill-creator
Skill · anthropics
More in AI & modelstriage
Skill · mattpocock
More in AI & modelswayfinder
Skill · mattpocock
More in AI & modelsalgorithmic-art
Skill · anthropics
More in AI & models