code-checklist
Team code quality checklist - use for checking Python code quality, bugs, security issues, and best practices
Best use case
code-checklist is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Team code quality checklist - use for checking Python code quality, bugs, security issues, and best practices
Teams using code-checklist 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-checklist/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How code-checklist Compares
| Feature / Agent | code-checklist | 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?
Team code quality checklist - use for checking Python code quality, bugs, security issues, 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 Checklist Skill Apply this checklist when checking Python code. ## Code Quality Checklist - [ ] All functions have type hints - [ ] No bare except clauses - [ ] No mutable default arguments - [ ] Context managers used for file I/O - [ ] Functions are under 50 lines - [ ] Variable and function names follow PEP 8 (snake_case) ## Input Validation Checklist - [ ] User input is validated before processing - [ ] Edge cases handled (empty strings, None, out-of-range values) - [ ] Error messages are clear and helpful ## Testing Checklist - [ ] New code has corresponding pytest tests - [ ] Edge cases are covered - [ ] Tests use descriptive names ## Output Format Present findings as: ``` ## Code Checklist: [filename] ### Code Quality - [PASS/FAIL] Description of finding ### Input Validation - [PASS/FAIL] Description of finding ### Testing - [PASS/FAIL] Description of finding ### Summary [X] items need attention before merge ```
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