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.
Systematic PR review with blast-radius analysis, security scanning, and breaking-change and test-coverage deltas. Use when reviewing PRs that touch shared libraries, APIs, database schemas, auth, or security-sensitive code.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Structured, systematic code review for GitHub PRs and GitLab MRs. Goes beyond style nits to perform blast-radius analysis, security vulnerability scanning, breaking-change detection, test-coverage delta calculation, and performance impact assessment. Produces reviewer-ready reports with prioritized findings categorized as must-fix, should-fix, and suggestions.
Keywords: PR review, code review, pull request, merge request, blast radius, security scan, breaking changes, test coverage, review checklist, code quality
| Tool | Purpose | Command |
|---|---|---|
blast_radius_calculator.py | Calculate PR blast radius from import chains / dependency trees of changed files | git diff --name-only main...HEAD | python scripts/blast_radius_calculator.py --root src |
diff_analyzer.py | Analyze a diff for risk indicators (large files, sensitive paths, config/breaking/security patterns) | gh pr diff $PR | python scripts/diff_analyzer.py --json |
review_checklist_generator.py | Generate a tailored review checklist from changed file types/patterns | git diff --name-only main...HEAD | python scripts/review_checklist_generator.py |
Load the reference that matches the task — keep this file lean and pull detail on demand:
gh/grep command catalog for context gathering, blast radius, security scan, breaking-change detection, coverage delta, and performance impact (plus the blast-radius severity table and coverage rules). Read when actually performing a review.This skill covers:
This skill does NOT cover:
engineering/saas-scaffolder or engineering/migration-architect for code generationengineering/dependency-auditor for dependency-level vulnerability scanningengineering/ci-cd-pipeline-builder for pipeline designengineering/performance-profiler for profiling and optimization guidance| Skill | Integration | Data Flow |
|---|---|---|
engineering/dependency-auditor | Run dependency audit before reviewing PRs that add or upgrade packages | Audit report feeds into the Security section of the review report |
engineering/ci-cd-pipeline-builder | Embed review checklist gates into CI pipelines as automated PR checks | Checklist items become pass/fail signals in the pipeline |
engineering/performance-profiler | Escalate N+1 and unbounded query findings for detailed profiling | Flagged code paths from review become profiling targets |
engineering/migration-architect | Validate database migration safety for PRs that include schema changes | Migration risk assessment supplements the Breaking Changes section |
engineering/release-manager | Feed breaking change detection results into release notes and changelogs | Detected breaking changes auto-populate release documentation |
engineering/api-design-reviewer | Cross-reference API endpoint changes with API design standards | API review findings merge into the Blast Radius and Breaking Changes sections |
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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.