Fast, scalable Python testing with fixtures, parametrization, and framework integration.
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 bobmatnyc/claude-mpm-skills --skill pytestCompatible with
Supported agents
Fixture system provides dependency injection and setup/teardown with function, class, module, and session scopes
Parametrization enables data-driven tests; markers organize tests by category (unit, integration, slow, custom)
Built-in support for FastAPI, Django, and Flask with async/await testing via pytest-asyncio
Rich assertion introspection, mocking via pytest-mock, coverage reporting, and
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionpytestExecute the skills CLI command in your project's root directory to begin installation:
epx add bobmatnyc/claude-mpm-skills --skill pytestFetches pytest from bobmatnyc/claude-mpm-skills 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/pytest
Restart Cursor to activate pytest. Access via /pytestin 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.
phoenix-liveview
bobmatnyc/claude-mpm-skills · Productivity · same repo
sqlalchemy-orm
bobmatnyc/claude-mpm-skills · Productivity · same repo
drizzle-orm
bobmatnyc/claude-mpm-skills · Productivity · same repo
wordpress-advanced-architecture
bobmatnyc/claude-mpm-skills · Productivity · same repo
web-performance-optimization
bobmatnyc/claude-mpm-skills · Productivity · same repo
tauri-event-system
bobmatnyc/claude-mpm-skills · Productivity · same repo
Keeps context tight: pytest is the kind of skill you can hand to a new teammate without a long onboarding doc.
pytest fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for pytest matched our evaluation — installs cleanly and behaves as described in the markdown.
pytest reduced setup friction for our internal harness; good balance of opinion and flexibility.
Useful defaults in pytest — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added pytest from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Registry listing for pytest matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in pytest — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added pytest from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in pytest — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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