mcpbeat

Nw Production Readiness

nwave-ai/nwave-nw-production-readiness

Monitoring, observability, operational procedures, CI/CD lessons learned, and quality gate definitions. Load when assessing production readiness or validating operational excellence.

This is a copy. The original lives at nwave-ai/nw-production-readiness.

679 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
588
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/nWave-ai/nWave --skill nw-production-readiness

The instruction itself

10 sections, as written by the author

Production Readiness

Monitoring and Observability

Application Monitoring

  • Performance: response time | throughput | latency percentiles (P50, P95, P99)
  • Resources: CPU | memory | database connections | cache hit rates
  • Errors: exception tracking | error rate trends | integration failure detection
  • Business: KPI tracking | conversion funnels | feature usage | revenue impact

Infrastructure Monitoring

Server/container health and resource utilization | Network performance and connectivity | Storage capacity and I/O performance | Security event detection.

Alerting Tiers

| Tier | Condition | Response |

|------|-----------|----------|

| Page | Service down, data loss risk, security breach | Immediate response |

| Urgent | Error rate >2x baseline, latency SLA breach | Response within 15 min |

| Warning | Capacity >80%, error rate trending up | Response within 1 hour |

| Info | Deployment complete, metric threshold crossed | Review next business day |

Operational Procedures

Incident Response

  • Detect: automated alerting identifies issue
  • Triage: classify severity, assign responder
  • Communicate: notify stakeholders per severity level
  • Resolve: apply fix or rollback
  • Review: post-incident review within 48 hours
  • Improve: update runbooks and monitoring based on findings

Maintenance Procedures

Regular update and patching schedule | Backup verification (test restores quarterly) | Security vulnerability scanning (automated, weekly) | Performance baseline recalibration (after major changes).

Knowledge Transfer

Operational runbooks for common procedures | Architecture documentation with system diagrams | Deployment procedures and configuration management | Troubleshooting guides for known failure modes.

Quality Gates for Production Readiness

Before declaring production-ready, all must pass:

  • [ ] All acceptance tests passing
  • [ ] Unit coverage meets project standard (default: >= 80%)
  • [ ] Integration tests validated
  • [ ] Performance validated under realistic load
  • [ ] Security scan completed (0 critical, 0 high)
  • [ ] Monitoring and alerting configured
  • [ ] Logging structured and searchable
  • [ ] Rollback procedure documented and tested
  • [ ] Runbook created for operational procedures
  • [ ] On-call team trained on new feature

For CI/CD architecture lessons and measurement coupling pitfalls, see cicd-and-deployment skill.

How to use it

Copy the folder

Take nwave-ai/nwave-nw-production-readiness from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.