Specialized workflow for building production-ready Python backends with FastAPI, featuring async patterns, SQLAlchemy ORM, Pydantic validation, and comprehensive API patterns.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionpython-fastapi-developmentExecute the skills CLI command in your project's root directory to begin installation:
Fetches python-fastapi-development from sickn33/antigravity-awesome-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:
Restart Cursor to activate python-fastapi-development. Access via /python-fastapi-development in 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.
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Automate repetitive workflows and reduce manual effort
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Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
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Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
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Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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Specialized workflow for building production-ready Python backends with FastAPI, featuring async patterns, SQLAlchemy ORM, Pydantic validation, and comprehensive API patterns.
Use this workflow when:
app-builder - Application scaffoldingpython-development-python-scaffold - Python scaffoldingfastapi-templates - FastAPI templatesuv-package-manager - Package managementUse @fastapi-templates to scaffold a new FastAPI project
Use @python-development-python-scaffold to set up Python project structure
prisma-expert - Prisma ORM (alternative)database-design - Schema designpostgresql - PostgreSQL setuppydantic-models-py - Pydantic modelsUse @database-design to design PostgreSQL schema
Use @pydantic-models-py to create Pydantic models for API
fastapi-router-py - FastAPI routersapi-design-principles - API designapi-patterns - API patternsUse @fastapi-router-py to create API endpoints with CRUD operations
Use @api-design-principles to design RESTful API
auth-implementation-patterns - Authenticationapi-security-best-practices - API securityUse @auth-implementation-patterns to implement JWT authentication
fastapi-pro - FastAPI patternserror-handling-patterns - Error handlingUse @fastapi-pro to implement comprehensive error handling
python-testing-patterns - pytest testingapi-testing-observability-api-mock - API testingUse @python-testing-patterns to write pytest tests for FastAPI
api-documenter - API documentationopenapi-spec-generation - OpenAPI specsUse @api-documenter to generate comprehensive API documentation
deployment-engineer - Deploymentdocker-expert - ContainerizationUse @docker-expert to containerize FastAPI application
| Category | Technology |
|---|---|
| Framework | FastAPI |
| Language | Python 3.11+ |
| ORM | SQLAlchemy 2.0 |
| Validation | Pydantic v2 |
| Database | PostgreSQL |
| Migrations | Alembic |
| Auth | JWT, OAuth2 |
| Testing | pytest |
development - General developmentdatabase - Database operationssecurity-audit - Security testingapi-development - API patternsPrerequisites
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.
sickn33/antigravity-awesome-skills
mindrally/skills
sickn33/antigravity-awesome-skills
sickn33/antigravity-awesome-skills
sickn33/antigravity-awesome-skills
sickn33/antigravity-awesome-skills
python-fastapi-development has been reliable in day-to-day use. Documentation quality is above average for community skills.
I recommend python-fastapi-development for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
We added python-fastapi-development from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
python-fastapi-development fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Useful defaults in python-fastapi-development — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Keeps context tight: python-fastapi-development is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added python-fastapi-development from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
python-fastapi-development has been reliable in day-to-day use. Documentation quality is above average for community skills.
python-fastapi-development is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in python-fastapi-development — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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