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code-review-assistant

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Perform structured, actionable code reviews for Python code with clear findings and suggestions.

Install Skill

1Download skill
2Enable skills in Claude

Open claude.ai/settings/capabilities and find the "Skills" section

3Upload to Claude

Click "Upload skill" and select the downloaded ZIP file

Note: Please verify skill by going through its instructions before using it.

SKILL.md

name code-review-assistant
description Perform structured, actionable code reviews for Python code with clear findings and suggestions.

Code Review Assistant (Python)

Quick start

  • Read the full code to understand intent, architecture, and interactions before commenting.
  • Check style, correctness, edge cases, efficiency, security, and maintainability.
  • Provide concise, actionable feedback grouped into strengths, issues/risks, and suggestions.
  • Include inline code snippets when helpful; ensure recommendations explain the why.
  • Follow references/code_review_rules.md for the review checklist and output format.

Workflow

  1. Understand

    • Identify the module’s purpose, main flows, and dependencies.
    • Note assumptions, data shapes, and external interactions.

  2. Assess quality and correctness

    • Validate logic against intent; check edge cases, error handling, and state changes.
    • Verify PEP 8 compliance, naming, imports, and type hints.
    • Look for dead code, mutable defaults, and duplicated logic.

  3. Evaluate design and efficiency

    • Check function/class responsibilities, cohesion, and complexity.
    • Consider algorithmic complexity and data structure choices; flag inefficiencies.
    • Ensure configuration/secrets are not hardcoded and that dependencies are isolated.

  4. Security and safety

    • Identify risky patterns: unsafe I/O, injection risks, use of eval/exec/pickle, or leaked secrets.
    • Recommend safer alternatives when applicable.

  5. Testing and output

    • Check test coverage, mocking of I/O, and CI hooks if visible.
    • Produce the review using the output format in the rules doc with grouped strengths, risks, and suggestions.

Reference

  • references/code_review_rules.md: detailed checklist and response format for Python code reviews.