This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Generate operational runbooks from codebase analysis covering deployment, incident response, scaling, and monitoring, with copy-paste commands and rollback steps. Use when bootstrapping ops docs, preparing for on-call, or post-incident.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Analyze a codebase and generate production-grade operational runbooks with copy-paste commands, verification checks after every step, rollback procedures for every destructive action, escalation paths with contact information, and time estimates for capacity planning. Detects the stack (CI/CD, database, hosting, containers) and produces runbooks tailored to the actual infrastructure. Includes staleness detection to flag runbooks when referenced config files change.
Keywords: runbook, operational procedures, incident response, deployment, rollback, database maintenance, scaling, monitoring, on-call, SRE, postmortem
Before generating the runbook, confirm these inputs. If any is unknown or vague, ASK — do not assume:
Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
| Tool | Purpose | Command |
|---|---|---|
runbook_scaffolder.py | Generate runbook markdown templates from a JSON service definition | python scripts/runbook_scaffolder.py -i service.json --type deployment -o runbook.md |
runbook_validator.py | Validate runbook markdown for completeness and quality (required sections, VERIFY blocks, hardcoded creds, escalation table) | python scripts/runbook_validator.py --dir docs/runbooks --strict |
staleness_checker.py | Check runbook freshness against configurable staleness thresholds | python scripts/staleness_checker.py docs/runbooks --threshold 90 --json |
Load the reference that matches the task — keep this file lean and pull detail on demand:
This skill covers:
This skill does NOT cover:
ci-cd-pipeline-builder for automated pipelines)migration-architect for schema migration tooling)observability-designer for monitoring infrastructure)skill-security-auditor for security-focused analysis)| Skill | Integration | Data Flow |
|---|---|---|
ci-cd-pipeline-builder | Runbook deployment steps align with pipeline stages | Pipeline config feeds into deployment runbook generation; runbook rollback steps reference pipeline rollback triggers |
observability-designer | Monitoring runbook references alert rules and dashboards | Observability outputs (alert names, dashboard URLs) are embedded in runbook VERIFY and Monitor steps |
migration-architect | Database maintenance runbook uses migration tooling conventions | Migration file paths and commands flow into the database runbook template; rollback steps mirror migration rollback commands |
release-manager | Release process triggers runbook execution checkpoints | Release tags and changelogs feed into runbook staleness checks; release gates reference runbook pre-deployment checklists |
env-secrets-manager | Runbook commands reference env vars managed by secrets tooling | Secret names and vault paths flow into runbook env var references; rotation schedules inform runbook update cadence |
changelog-generator | Post-deployment runbook steps cross-reference changelog entries | Changelog diffs help identify which runbook steps need re-verification after a release |
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This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design and run statistically rigorous A/B tests and experiments. Use when planning experiments, calculating sample sizes, designing test variants, selecting metrics, analyzing results, or when someone says "let's test that."
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design and analyze A/B tests: sample size, test duration, and statistical significance for conversion experiments. Use when setting up an A/B test, calculating sample size, designing an experiment, or analyzing results.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Sales execution across pipeline, discovery, demos, negotiation, and closing. Use when qualifying opportunities, running MEDDIC discovery, building account plans, handling objections, structuring proposals, or forecasting pipeline.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design ad creative across Google, Meta, LinkedIn, Twitter/X, and TikTok with platform format specs, headline formulas, and A/B testing. Use when writing ad copy, generating headline variations, creating ad sets, or validating creative.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Answer Engine Optimization (AEO): optimize content to be cited by LLMs (ChatGPT, Claude, Perplexity, Gemini) in their answers. Use when designing content for LLM citation, auditing citability, or structuring Q&A schema.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.