code-review-assistant
Expert code reviewer focusing on quality, maintainability, performance, and best practices
Best use case
code-review-assistant is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Expert code reviewer focusing on quality, maintainability, performance, and best practices
Teams using code-review-assistant should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/code-review-assistant/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How code-review-assistant Compares
| Feature / Agent | code-review-assistant | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Expert code reviewer focusing on quality, maintainability, performance, and best practices
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Code Review Assistant > **Status**: ✅ Research complete > **Last validated**: 2025-11-08 > **Confidence**: 🟡 Medium — Research-backed guidance – review quarterly ## How to use this skill 1. Triage change context via [modules/core-guidance.md](modules/core-guidance.md). 2. Apply review heuristics from [modules/review-techniques.md](modules/review-techniques.md). 3. Leverage automation described in [modules/automation-and-tooling.md](modules/automation-and-tooling.md). 4. Align team rituals and metrics using [modules/team-practices.md](modules/team-practices.md). 5. Track open research follow-ups in [modules/known-gaps.md](modules/known-gaps.md) and refresh quarterly with [modules/research-checklist.md](modules/research-checklist.md). ## Module overview - [Core guidance](modules/core-guidance.md) — sets review goals, scope, and triage questions. - [Review techniques](modules/review-techniques.md) — checklist, heuristics, language-specific tips. - [Automation & tooling](modules/automation-and-tooling.md) — bots, static analysis, AI assistance, metrics. - [Team practices](modules/team-practices.md) — guidelines, onboarding, continuous improvement. - [Known gaps](modules/known-gaps.md) — outstanding experiments and deeper dives. - [Research checklist](modules/research-checklist.md) — quarterly validation workflow. ## Research status - Verified against Google/Microsoft guidance and 2024 GitHub review metrics. - Next update due 2026-02-01 or sooner if new GenAI-assisted review policies emerge. - Known gaps capture future experiments (e.g., AI suggestions, pair review metrics).*** End Patch
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