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code-review Skill

AI Agent SkillPythonOpen source

Review changed code for reuse, quality, and efficiency, then fix any issues found. Published by microsoft in amplifier-bundle-skills.

What is code-review Skill?

Review changed code for reuse, quality, and efficiency, then fix any issues found. Published by microsoft in amplifier-bundle-skills. 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.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
26/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Research
  • Research use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use code-review Skill

  • Use it for research.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/amplifier-bundle-skills
  • Skill file: skills/code-review/SKILL.md

What it does

Review changed code for reuse, quality, and efficiency, then fix any issues found.

Skill instructions

Simplify: Code Review and Cleanup Review all changed files for reuse, quality, and efficiency. Fix any issues found. Phase 1: Identify Changes Run git diff (or git diff HEAD if there are staged changes) to see what changed. If there are no git changes, review the most recently modified files that the user mentioned or that you edited earlier in this conversation. Phase 2: Launch Three Review Agents in Parallel Use the delegate tool to launch all three agents concurrently in a single message. Pass each agent the full diff so it has the complete context. Agent 1: Code Reuse Review For each change: 1. Search for existing utilities and helpers that could replace newly written code. Look for similar patterns elsewhere in the codebase — common locations are utility directories, shared modules, and files adjacent to the changed ones. 2. Flag any new function that duplicates existing functionality. Suggest the existing function to use instead. 3. Flag any inline logic that could use an existin

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Frequently asked questions

What is code-review?

code-review is a open-source AI agent skill with Copy skill directory. Review changed code for reuse, quality, and efficiency, then fix any issues found.

Who is code-review best for?

code-review is best for reusing agent instructions, scripts, and references, research 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.

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Stars
10
Forks
9
Last commit
9 days ago
Repository age
5 months
License
MIT

Auto-fetched from GitHub.

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