clade-prod-checklist
Production readiness checklist for Claude-powered applications — Use when working with prod-checklist patterns. error handling, monitoring, fallbacks, cost controls, and security. Trigger with "anthropic production", "claude production ready", "anthropic launch checklist", "go live with claude".
Best use case
clade-prod-checklist is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Production readiness checklist for Claude-powered applications — Use when working with prod-checklist patterns. error handling, monitoring, fallbacks, cost controls, and security. Trigger with "anthropic production", "claude production ready", "anthropic launch checklist", "go live with claude".
Teams using clade-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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/clade-prod-checklist/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How clade-prod-checklist Compares
| Feature / Agent | clade-prod-checklist | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Production readiness checklist for Claude-powered applications — Use when working with prod-checklist patterns. error handling, monitoring, fallbacks, cost controls, and security. Trigger with "anthropic production", "claude production ready", "anthropic launch checklist", "go live with claude".
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.
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SKILL.md Source
# Anthropic Production Checklist ## 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_reason` checked: `end_turn` vs `max_tokens` (incomplete) ## Cost Controls - [ ] `max_tokens` set 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](https://status.anthropic.com)) ## Reliability - [ ] SDK `maxRetries` set (default 2 is fine for most) - [ ] Timeout configured for your use case (`timeout` option) - [ ] 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](https://docs.anthropic.com/en/docs/build-with-claude) - [Error Handling](https://docs.anthropic.com/en/api/errors) - [Rate Limits](https://docs.anthropic.com/en/api/rate-limits) - [Acceptable Use Policy](https://www.anthropic.com/policies/aup) ## 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.
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