Modern Python tooling, naming conventions, type checking, and documentation standards for maintainable codebases.
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
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add wshobson/agents --skill python-code-styleCompatible with
Supported agents
Configure ruff for unified linting and formatting, replacing flake8, isort, and black with a single fast tool
Set up strict type checking with mypy or pyright to catch errors before runtime
Follow PEP 8 naming conventions: snake_case for functions/variables, PascalCase for classes, SCREAMING_SNAKE_CASE for constants
Write Google-style docstrings for all public APIs wit
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionpython-code-styleExecute the skills CLI command in your project's root directory to begin installation:
epx add wshobson/agents --skill python-code-styleFetches python-code-style 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:
.cursor/skills/python-code-style
Restart Cursor to activate python-code-style. Access via /python-code-stylein your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
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.
python-performance-optimization
wshobson/agents · Backend · same repo
unity-ecs-patterns
wshobson/agents · Productivity · same repo
react-native-architecture
wshobson/agents · Frontend · same repo
python-expert
shubhamsaboo/awesome-llm-apps · Backend · tag: python
go-code-review
cxuu/golang-skills · Backend · tag: code
python-executor
inference-sh/skills · Backend · tag: python
Useful defaults in python-code-style — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend python-code-style for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
python-code-style reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend python-code-style for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in python-code-style — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
python-code-style is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: python-code-style is focused, and the summary matches what you get after install.
Registry listing for python-code-style matched our evaluation — installs cleanly and behaves as described in the markdown.
python-code-style is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
We added python-code-style from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
showing 1-10 of 38