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Agentic AI Atlas · awesome-skills/code-review-skill
page:docs-reference-repos-awesome-skills-code-review-skill-researcha5c.ai
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awesome-skills/code-review-skill json

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    "title": "awesome-skills/code-review-skill",
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    "article": "\n# awesome-skills/code-review-skill\n\n## Metadata\n- **Stars:** 263\n- **License:** MIT\n- **Last pushed:** 2026-03-01\n- **Description:** A comprehensive code review skill for Claude Code, covering React 19, Vue 3, Rust, TypeScript, TanStack Query v5, and more.\n\n## Archetype: Specialization Process (code-review domain)\n\n## Structure\n- `SKILL.md` — Main skill definition with phased review methodology\n- `reference/` — 16 language/framework-specific review guides (react.md, vue.md, rust.md, typescript.md, python.md, java.md, go.md, c.md, cpp.md, css-less-sass.md, qt.md, architecture-review-guide.md, performance-review-guide.md, common-bugs-checklist.md, security-review-guide.md, code-review-best-practices.md)\n- `assets/` — PR review templates and checklists\n- `scripts/` — Supporting automation\n\n## Extractable Value\n\n### As a Babysitter Process: `specializations/shared/code-review-excellence`\nCross-domain, language-aware code review methodology with:\n1. **4-phase structured review process** — Context Gathering (2-3 min) -> High-Level Review (5-10 min) -> Line-by-Line Review (10-20 min) -> Summary & Decision (2-3 min)\n2. **Severity labeling system** — blocking / important / nit / suggestion / learning / praise\n3. **Question-based feedback technique** — Asks \"What happens if...\" instead of declaring \"This is wrong\"\n4. **Language-specific deep guides** — 11 languages/frameworks with anti-patterns, common bugs, and best practices per language\n5. **Cross-cutting review guides** — Architecture, performance, security, and common bugs checklists\n\n### Key Differentiators from Existing\n- The phased time-boxed approach is a concrete methodology (not just a checklist)\n- Language-specific reference guides are modular and composable\n- Severity labeling system is well-defined and actionable\n- Emphasis on \"educational, not judgmental\" feedback aligns with collaborative review culture\n\n### Plugin Idea: `code-review-excellence`\ninstall.md-driven plugin that provides:\n- The SKILL.md as a skill\n- Language-specific reference files as context\n- Hook into `pre-commit` or PR review workflows\n\n## Library Mapping\n\n| Extractable Process | Library Status | Action | Existing Path | Target Placement |\n|-------------------|----------------|--------|---------------|------------------|\n| 4-Phase Code Review Process | NEW | Structured time-boxed review methodology with severity labeling | - | specializations/shared/code-review-excellence.js |\n| Language-Specific Review Framework | NEW | Modular review guides for 11 languages/frameworks with anti-patterns | - | specializations/shared/language-specific-review.js |\n| Educational Feedback Technique | NEW | Question-based code review methodology emphasizing learning over judgment | - | specializations/shared/educational-feedback.js |\n| Cross-Cutting Review Process | NEW | Architecture, performance, and security review checklists | - | specializations/shared/cross-cutting-review.js |\n\n## Plugin Marketplace Mapping\n\n| Plugin Idea | Marketplace Status | Action | Existing Plugin | Target Placement |\n|-------------|-------------------|--------|-----------------|------------------|\n| Code Review Excellence | NEW | Multi-language code review setup with phased methodology and hooks | - | plugins/a5c/marketplace/blueprints/code-review-excellence/ |\n\n## Classification Rationale\nThis is a cross-domain specialization (not a full dev methodology). The review process is applicable to any language/framework, so it fits in `specializations/shared/`. The language-specific guides are modular reference material.\n",
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