Quick reference for Python code quality tools: ruff (linting & formatting), ty (type checking).
Run in your terminal
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionpython-code-qualityExecute the skills CLI command in your project's root directory to begin installation:
Package manager
npx skills add https://github.com/laurigates/claude-plugins --skill python-code-qualityFetches python-code-quality from laurigates/claude-plugins 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-code-quality. Access via /python-code-qualityin 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.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Package manager
npx skills add https://github.com/laurigates/claude-plugins --skill python-code-qualityWorks with
0
total installs
0
this week
23
GitHub stars
0
upvotes
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ 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.
wispbit-ai/skills
mindrally/skills
shubhamsaboo/awesome-llm-apps
mindrally/skills
asyrafhussin/agent-skills
shadcn/improve
Useful defaults in python-code-quality — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
python-code-quality fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
python-code-quality has been reliable in day-to-day use. Documentation quality is above average for community skills.
We added python-code-quality from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Keeps context tight: python-code-quality is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added python-code-quality from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
python-code-quality reduced setup friction for our internal harness; good balance of opinion and flexibility.
python-code-quality is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
python-code-quality fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Useful defaults in python-code-quality — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
showing 1-10 of 67