Common Python anti-patterns to catch during code review and debugging.
Run in your terminal
Covers 14+ anti-patterns across infrastructure, architecture, error handling, resources, type safety, and testing with before/after code examples
Includes a quick review checklist and summary table for fast reference during code reviews
Focuses on practical fixes: centralized retry logic, DTOs, repository pattern, specific exception handling, and async-native libraries
Emphasizes validation at API boundaries, c
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionpython-anti-patternsExecute the skills CLI command in your project's root directory to begin installation:
Package manager
npx skills add https://github.com/wshobson/agents --skill python-anti-patternsFetches python-anti-patterns from wshobson/agents and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate python-anti-patterns. Access via /python-anti-patternsin your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Review drafts, suggest improvements, catch errors
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Package manager
npx skills add https://github.com/wshobson/agents --skill python-anti-patternsWorks with
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Time Estimate
15-45 minutes depending on use case complexity
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✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
wshobson/agents
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Useful defaults in python-anti-patterns — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
python-anti-patterns has been reliable in day-to-day use. Documentation quality is above average for community skills.
python-anti-patterns has been reliable in day-to-day use. Documentation quality is above average for community skills.
I recommend python-anti-patterns for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: python-anti-patterns is focused, and the summary matches what you get after install.
python-anti-patterns fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
python-anti-patterns is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
We added python-anti-patterns from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: python-anti-patterns is focused, and the summary matches what you get after install.
Solid pick for teams standardizing on skills: python-anti-patterns is focused, and the summary matches what you get after install.
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