Reviews uncommitted code changes for design, bugs, and requirements before final submission.
Install
mkdir -p .claude/skills/review-matrixages && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/9502" && unzip -o skill.zip -d .claude/skills/review-matrixages && rm skill.zipInstalls to .claude/skills/review-matrixages
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Review uncommitted code changes to find unreasonable design, unfinished requirements, potential bugs, missed reuse opportunities, and optimization opportunities. Use when the user asks for a review of pending, uncommitted, or unpublished code changes and expects both findings and concrete improvements.Key capabilities
- →Identify fragile design choices
- →Detect unfinished requirements
- →Find potential bugs and regressions
- →Locate duplicated logic
- →Verify missing test coverage
How it works
The tool inspects the working tree using git status and diffs to identify issues before providing actionable feedback or applying fixes.
Inputs & outputs
When to use review
- →Reviewing uncommitted changes for potential bugs
- →Identifying duplicated logic in new code
- →Ensuring code requirements are fully implemented
- →Checking for missing test coverage
About this skill
Review
Inspect the current working tree before making assumptions. Start with git status --short, then read the relevant diff.
Prioritize findings over summaries. Report the highest-impact issues first with precise file references and concrete impact.
Check these areas on every run:
- Find unreasonable or fragile design choices.
- Find unfinished requirements or behavior gaps.
- Find potential bugs, regressions, and edge-case failures.
- Find duplicated logic or places where existing code should have been reused.
- Find missing validation, verification, or tests.
When the user expects action instead of commentary, fix the issues you identify and re-check the result.
When reviewing, keep the response structure tight:
- List findings first, ordered by severity.
- Add open questions or assumptions only if they materially affect correctness.
- Add a short change summary only after the findings or fixes.
When no issues are found, say so explicitly and still mention residual risks or missing verification.
When not to use it
- →When code changes are already committed or published
Limitations
- →Requires uncommitted changes to be present in the working tree
How it compares
It automates the review of pending changes by prioritizing high-impact issues and providing concrete fixes rather than just general commentary.
Compared to similar skills
review side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| review (this skill) | 0 | 2mo | No flags | Beginner |
| python-testing-patterns | 77 | 2mo | Review | Intermediate |
| fix-bug | 11 | 7mo | Review | Intermediate |
| test-fixing | 1 | 9mo | Review | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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