Clade prod checklist
Production readiness checklist for Claude-powered applications \u2014\ 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".From its SKILL.md
npx -y skills add jeremylongshore/claude-code-plugins-plus-skills --skill clade-prod-checklistAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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SKILL.md
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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_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.
What ships with it: 1 file
1.4 KB alongside SKILL.md
references/
- one-pager.md1.4 KB