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.
Plans zero-downtime migrations with compatibility validation, rollback strategies, and phased execution plans. Use when migrating databases, APIs, infrastructure, or services between platforms or versions.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Generates phased migration plans with risk assessment, compatibility analysis, and rollback runbooks for database, service, infrastructure, and API migrations. Validates schema compatibility, detects breaking changes, and produces rollback procedures with trigger conditions and communication templates.
Before planning the migration, confirm these inputs. If any is unknown or vague, ASK — do not assume:
--type and which pattern catalog applies)migration_planner.py vs compatibility_checker.py vs rollback_generator.py)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 |
|---|---|---|
migration_planner.py | Generate a phased migration plan with risk assessment | python scripts/migration_planner.py --input spec.json --output plan.json --format both |
compatibility_checker.py | Diff schemas/APIs and flag breaking changes | python scripts/compatibility_checker.py --before v1.json --after v2.json --type database |
rollback_generator.py | Generate a rollback runbook from a plan | python scripts/rollback_generator.py --input plan.json --output runbook.json --format both |
Load the reference that matches the task — keep this file lean and pull detail on demand:
This skill covers:
This skill does NOT cover:
engineering/api-design-reviewer for API contract changes and engineering/database-designer for schema design.engineering/observability-designer for observability setup.engineering/ci-cd-pipeline-builder for deployment pipeline configuration.| Skill | Integration | Data Flow |
|---|---|---|
engineering/database-designer | Design target schema before migration planning | Target schema JSON feeds into compatibility_checker.py --after |
engineering/api-design-reviewer | Validate API contract changes for service migrations | OpenAPI spec diffs feed into compatibility_checker.py --type api |
engineering/observability-designer | Set up monitoring dashboards referenced in migration runbooks | Migration plan success metrics inform alerting rule definitions |
engineering/ci-cd-pipeline-builder | Embed migration validation in CI/CD stages | compatibility_checker.py runs as a pipeline stage; migration_planner.py --validate gates deployments |
engineering/runbook-generator | Extend rollback runbooks with operational procedures | rollback_generator.py output serves as input for detailed operational runbooks |
engineering/release-manager | Coordinate migration cutover with release schedules | Migration plan phases and timelines align with release windows and feature-flag rollout stages |
아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
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.