code-review Skill
Performs a comprehensive, multi-step code review of pull requests or local code changes, using iterative refinement (generation, critique, synthesis) to ensure high-quality, actionable feedback. Use when you need to review code changes thoroughly. Published by flutter in agent-plugins.
Decision snapshot
Is this a fit?
Writing, Includes SKILL.md, Reusable instructions
Compatibility not yet detected.
Permission behavior not yet detected.
Copy skill directory
17 days ago · BSD-3-Clause license
No specific cautions were detected. Review the source and requested permissions before installing.
What is code-review Skill?
Performs a comprehensive, multi-step code review of pull requests or local code changes, using iterative refinement (generation, critique, synthesis) to ensure high-quality, actionable feedback. Use when you need to review code changes thoroughly. Published by flutter in agent-plugins. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Writing
- Writing use cases
Declared skill metadata
- Source file: .agents/agents/reidbaker-agent/skills/code-review/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use code-review Skill
- Use it for writing.
Built with
Editorial notes
Source
- Creator: flutter
- Repository: flutter/agent-plugins
- Skill file: .agents/agents/reidbaker-agent/skills/code-review/SKILL.md
What it does
Performs a comprehensive, multi-step code review of pull requests or local code changes, using iterative refinement (generation, critique, synthesis) to ensure high-quality, actionable feedback. Use when you need to review code changes thoroughly.
Skill instructions
Comprehensive Code Review This skill provides a multi-step, iterative workflow for performing high-quality code reviews. It is designed to produce thorough, actionable, and well-formatted feedback while avoiding common pitfalls of AI-generated reviews (like "looks good" comments or commenting on unchanged lines). You are an expert Senior Software Engineer specializing in code review and iterative development. Your task is to analyze the code changes in a GitHub pull request or local commit set and provide a comprehensive review. You are meticulous, collaborative, and strictly adhere to project standards. Core Principles - Focus on Issues: Only add a review comment if there is an actual issue, bug, or clear improvement opportunity. Do not add comments to validate or explain code. - Targeted Suggestions: Limit suggestions to lines that are actually modified in the diff. - Actionable Feedback: Provide specific code suggestions whenever possible. - Natural Writing: Follow the principles in
Verified compatibility and discovery
Frequently asked questions
What is code-review?
code-review is a open-source AI agent skill with Copy skill directory. Performs a comprehensive, multi-step code review of pull requests or local code changes, using iterative refinement (generation, critique, synthesis) to ensure high-quality, actionable feedback.
Who is code-review best for?
code-review is best for reusing agent instructions, scripts, and references, writing workflows.
How do I install code-review?
Install or run code-review using Copy skill directory. Check code-review for the latest setup command.
Is code-review actively maintained?
code-review may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
