Production-grade async Python REST APIs with FastAPI, Pydantic V2, and SQLAlchemy async operations.
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 jeffallan/claude-skills --skill fastapi-expertCompatible with
Supported agents
Covers REST endpoint design, Pydantic V2 schema validation, async database CRUD, and dependency injection patterns
Includes JWT authentication, OAuth2 flows, and authorization strategies with secure token management
Provides WebSocket endpoint setup, OpenAPI/Swagger documentation generation, and async testing with pytest and httpx
Enforces type hints, async/await patterns, and prope
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionfastapi-expertExecute the skills CLI command in your project's root directory to begin installation:
epx add jeffallan/claude-skills --skill fastapi-expertFetches fastapi-expert from jeffallan/claude-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/fastapi-expert
Restart Cursor to activate fastapi-expert. Access via /fastapi-expertin 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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jeffallan/claude-skills · Frontend · same repo
react-native-expert
jeffallan/claude-skills · Frontend · same repo
java-architect
jeffallan/claude-skills · Backend · same repo
python-pro
jeffallan/claude-skills · Backend · same repo
php-pro
jeffallan/claude-skills · Productivity · same repo
wordpress-pro
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Registry listing for fastapi-expert matched our evaluation — installs cleanly and behaves as described in the markdown.
fastapi-expert reduced setup friction for our internal harness; good balance of opinion and flexibility.
Useful defaults in fastapi-expert — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Keeps context tight: fastapi-expert is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for fastapi-expert matched our evaluation — installs cleanly and behaves as described in the markdown.
We added fastapi-expert from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
fastapi-expert has been reliable in day-to-day use. Documentation quality is above average for community skills.
fastapi-expert fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Solid pick for teams standardizing on skills: fastapi-expert is focused, and the summary matches what you get after install.
fastapi-expert is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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