smithery.ai

operations

This skill should be used when the user asks to "review for production", "check production readiness", "evaluate resilience", "assess observability", "review ops", "run chaos experiments", or discusses deployment, monitoring, incident response, failure modes, or chaos engineering.

First seen Mar 21, 2026

Installation

$ npx skills add https://smithery.ai

Summary

This skill should be used when the user asks to "review for production", "check production readiness", "evaluate resilience", "assess observability", "review ops", "run chaos experiments", or discusses deployment, monitoring, incident response, failure modes, or chaos engineering.

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Also in this package

Other skills from smithery.ai · top by installs.

npx skills add https://smithery.ai

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,837 B
  • docs SUMMARY.md 299 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 3 installs

SKILL.md

Operations

Production readiness evaluation focused on resilience, observability, and incident response.

Resilience

Failure Modes

  • What can fail? List all external dependencies
  • Blast radius: If X fails, what else breaks?
  • Graceful degradation: Partial failure ≠ total failure?

Patterns

Pattern Purpose Check
Timeouts Prevent hung connections Every external call has one?
Circuit Breaker Stop cascading failures On critical paths?
Bulkhead Isolate failures Separate thread pools?
Retry Handle transient failures With backoff? Bounded?

Observability

The RED Method

Metric What Why
Rate Requests per second Traffic understanding
Errors Failed requests Problem detection
Duration Latency distribution Performance tracking

Logging

  • Structured (JSON, not free text)
  • Correlation IDs across services
  • Appropriate levels (not everything is ERROR)
  • PII redaction

Tracing

  • Distributed tracing enabled?
  • Spans for all external calls?
  • Context propagation working?

Capacity

  • Scaling: Horizontal preferred, auto-scaling configured?
  • Limits: Memory, CPU, connections all bounded?
  • Backpressure: What happens at 2x load? 10x?
  • Rate Limiting: Per-tenant/client quotas?

Security Posture

  • Secrets: In vault, not env vars or code
  • Network: Least privilege, mTLS where possible
  • Dependencies: Vulnerability scanning in CI
  • Access: Audit logging for sensitive operations

Incident Readiness

  • Runbooks: Documented recovery procedures
  • On-call: Rotation defined, escalation clear
  • Rollback: One-click, tested regularly
  • Communication: Status page, stakeholder notification

Checklist

□ All external calls have timeouts
□ Circuit breakers on critical paths
□ Structured logging with correlation IDs
□ RED metrics exposed
□ Alerts are actionable (not noisy)
□ Auto-scaling configured with limits
□ Graceful shutdown implemented
□ Health checks (liveness + readiness)
□ Secrets in vault
□ Runbook exists
□ Rollback tested

Guild Members for Operations

Primary: Taleb (resilience), Erlang (capacity), Vector (security) Secondary: Lamport (distributed failure), Ixian (metrics/validation)

Additional Resources

  • references/chaos-patterns.md — Chaos engineering patterns and failure injection