Comprehensive pytest testing strategies with TDD, fixtures, mocking, and coverage best practices.
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 affaan-m/everything-claude-code --skill python-testingCompatible with
Supported agents
Covers TDD methodology (red-green-refactor cycle), parametrization, fixtures with multiple scopes, and mocking patterns for unit and integration testing
Includes pytest fundamentals: assertions, markers for test selection, exception testing, and async test support with pytest-asyncio
Provides practical patterns for testing APIs, databases, file operations, and class methods with real cod
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionpython-testingExecute the skills CLI command in your project's root directory to begin installation:
epx add affaan-m/everything-claude-code --skill python-testingFetches python-testing from affaan-m/everything-claude-code 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-testing
Restart Cursor to activate python-testing. Access via /python-testingin 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.
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I recommend python-testing for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: python-testing is focused, and the summary matches what you get after install.
python-testing has been reliable in day-to-day use. Documentation quality is above average for community skills.
python-testing fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for python-testing matched our evaluation — installs cleanly and behaves as described in the markdown.
python-testing is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: python-testing is the kind of skill you can hand to a new teammate without a long onboarding doc.
python-testing is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
python-testing reduced setup friction for our internal harness; good balance of opinion and flexibility.
Keeps context tight: python-testing is the kind of skill you can hand to a new teammate without a long onboarding doc.
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