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Skill
python-fastapi-development
Python FastAPI backend development with async patterns, SQLAlchemy, Pydantic, authentication, and production API patterns.
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sickn33-agentic-awesome-skills-skills_python-fastapi-development-286166a.zip · 1 KB
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Install
skills CLI
npx skills add https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/python-fastapi-development
Claude Code
claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install sickn33-agentic-awesome-skills@llmmart
Git
git clone https://github.com/sickn33/agentic-awesome-skills.git
The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole sickn33/agentic-awesome-skills collection as a plugin from our marketplace. Git is the plain clone.
Skill manifest
Python/FastAPI Development Workflow
Overview
Specialized workflow for building production-ready Python backends with FastAPI, featuring async patterns, SQLAlchemy ORM, Pydantic validation, and comprehensive API patterns.
When to Use This Workflow
Use this workflow when:
- Building new REST APIs with FastAPI
- Creating async Python backends
- Implementing database integration with SQLAlchemy
- Setting up API authentication
- Developing microservices
Workflow Phases
Phase 1: Project Setup
Skills to Invoke
app-builder- Application scaffoldingpython-development-python-scaffold- Python scaffoldingfastapi-templates- FastAPI templatesuv-package-manager- Package management
Actions
- Set up Python environment (uv/poetry)
- Create project structure
- Configure FastAPI app
- Set up logging
- Configure environment variables
Copy-Paste Prompts
Use @fastapi-templates to scaffold a new FastAPI project
Use @python-development-python-scaffold to set up Python project structure
Phase 2: Database Setup
Skills to Invoke
prisma-expert- Prisma ORM (alternative)database-design- Schema designpostgresql- PostgreSQL setuppydantic-models-py- Pydantic models
Actions
- Design database schema
- Set up SQLAlchemy models
- Create database connection
- Configure migrations (Alembic)
- Set up session management
Copy-Paste Prompts
Use @database-design to design PostgreSQL schema
Use @pydantic-models-py to create Pydantic models for API
Phase 3: API Routes
Skills to Invoke
fastapi-router-py- FastAPI routersapi-design-principles- API designapi-patterns- API patterns
Actions
- Design API endpoints
- Create API routers
- Implement CRUD operations
- Add request validation
- Configure response models
Copy-Paste Prompts
Use @fastapi-router-py to create API endpoints with CRUD operations
Use @api-design-principles to design RESTful API
Phase 4: Authentication
Skills to Invoke
auth-implementation-patterns- Authenticationapi-security-best-practices- API security
Actions
- Choose auth strategy (JWT, OAuth2)
- Implement user registration
- Set up login endpoints
- Create auth middleware
- Add password hashing
Copy-Paste Prompts
Use @auth-implementation-patterns to implement JWT authentication
Phase 5: Error Handling
Skills to Invoke
fastapi-pro- FastAPI patternserror-handling-patterns- Error handling
Actions
- Create custom exceptions
- Set up exception handlers
- Implement error responses
- Add request logging
- Configure error tracking
Copy-Paste Prompts
Use @fastapi-pro to implement comprehensive error handling
Phase 6: Testing
Skills to Invoke
python-testing-patterns- pytest testingapi-testing-observability-api-mock- API testing
Actions
- Set up pytest
- Create test fixtures
- Write unit tests
- Implement integration tests
- Configure test database
Copy-Paste Prompts
Use @python-testing-patterns to write pytest tests for FastAPI
Phase 7: Documentation
Skills to Invoke
api-documenter- API documentationopenapi-spec-generation- OpenAPI specs
Actions
- Configure OpenAPI schema
- Add endpoint documentation
- Create usage examples
- Set up API versioning
- Generate API docs
Copy-Paste Prompts
Use @api-documenter to generate comprehensive API documentation
Phase 8: Deployment
Skills to Invoke
deployment-engineer- Deploymentdocker-expert- Containerization
Actions
- Create Dockerfile
- Set up docker-compose
- Configure production settings
- Set up reverse proxy
- Deploy to cloud
Copy-Paste Prompts
Use @docker-expert to containerize FastAPI application
Technology Stack
| Category | Technology |
|---|---|
| Framework | FastAPI |
| Language | Python 3.11+ |
| ORM | SQLAlchemy 2.0 |
| Validation | Pydantic v2 |
| Database | PostgreSQL |
| Migrations | Alembic |
| Auth | JWT, OAuth2 |
| Testing | pytest |
Quality Gates
- All tests passing (>80% coverage)
- Type checking passes (mypy)
- Linting clean (ruff, black)
- API documentation complete
- Security scan passed
- Performance benchmarks met
Related Workflow Bundles
development- General developmentdatabase- Database operationssecurity-audit- Security testingapi-development- API patterns
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
Files (agentic-awesome-skills)
-
SKILL.md 5 KB
--- name: python-fastapi-development description: "Python FastAPI backend development with async patterns, SQLAlchemy, Pydantic, authentication, and production API patterns." category: granular-workflow-bundle risk: safe source: personal date_added: "2026-02-27" --- # Python/FastAPI Development Workflow ## Overview Specialized workflow for building production-ready Python backends with FastAPI, featuring async patterns, SQLAlchemy ORM, Pydantic validation, and comprehensive API patterns. ## When to Use This Workflow Use this workflow when: - Building new REST APIs with FastAPI - Creating async Python backends - Implementing database integration with SQLAlchemy - Setting up API authentication - Developing microservices ## Workflow Phases ### Phase 1: Project Setup #### Skills to Invoke - `app-builder` - Application scaffolding - `python-development-python-scaffold` - Python scaffolding - `fastapi-templates` - FastAPI templates - `uv-package-manager` - Package management #### Actions 1. Set up Python environment (uv/poetry) 2. Create project structure 3. Configure FastAPI app 4. Set up logging 5. Configure environment variables #### Copy-Paste Prompts ``` Use @fastapi-templates to scaffold a new FastAPI project ``` ``` Use @python-development-python-scaffold to set up Python project structure ``` ### Phase 2: Database Setup #### Skills to Invoke - `prisma-expert` - Prisma ORM (alternative) - `database-design` - Schema design - `postgresql` - PostgreSQL setup - `pydantic-models-py` - Pydantic models #### Actions 1. Design database schema 2. Set up SQLAlchemy models 3. Create database connection 4. Configure migrations (Alembic) 5. Set up session management #### Copy-Paste Prompts ``` Use @database-design to design PostgreSQL schema ``` ``` Use @pydantic-models-py to create Pydantic models for API ``` ### Phase 3: API Routes #### Skills to Invoke - `fastapi-router-py` - FastAPI routers - `api-design-principles` - API design - `api-patterns` - API patterns #### Actions 1. Design API endpoints 2. Create API routers 3. Implement CRUD operations 4. Add request validation 5. Configure response models #### Copy-Paste Prompts ``` Use @fastapi-router-py to create API endpoints with CRUD operations ``` ``` Use @api-design-principles to design RESTful API ``` ### Phase 4: Authentication #### Skills to Invoke - `auth-implementation-patterns` - Authentication - `api-security-best-practices` - API security #### Actions 1. Choose auth strategy (JWT, OAuth2) 2. Implement user registration 3. Set up login endpoints 4. Create auth middleware 5. Add password hashing #### Copy-Paste Prompts ``` Use @auth-implementation-patterns to implement JWT authentication ``` ### Phase 5: Error Handling #### Skills to Invoke - `fastapi-pro` - FastAPI patterns - `error-handling-patterns` - Error handling #### Actions 1. Create custom exceptions 2. Set up exception handlers 3. Implement error responses 4. Add request logging 5. Configure error tracking #### Copy-Paste Prompts ``` Use @fastapi-pro to implement comprehensive error handling ``` ### Phase 6: Testing #### Skills to Invoke - `python-testing-patterns` - pytest testing - `api-testing-observability-api-mock` - API testing #### Actions 1. Set up pytest 2. Create test fixtures 3. Write unit tests 4. Implement integration tests 5. Configure test database #### Copy-Paste Prompts ``` Use @python-testing-patterns to write pytest tests for FastAPI ``` ### Phase 7: Documentation #### Skills to Invoke - `api-documenter` - API documentation - `openapi-spec-generation` - OpenAPI specs #### Actions 1. Configure OpenAPI schema 2. Add endpoint documentation 3. Create usage examples 4. Set up API versioning 5. Generate API docs #### Copy-Paste Prompts ``` Use @api-documenter to generate comprehensive API documentation ``` ### Phase 8: Deployment #### Skills to Invoke - `deployment-engineer` - Deployment - `docker-expert` - Containerization #### Actions 1. Create Dockerfile 2. Set up docker-compose 3. Configure production settings 4. Set up reverse proxy 5. Deploy to cloud #### Copy-Paste Prompts ``` Use @docker-expert to containerize FastAPI application ``` ## Technology Stack | Category | Technology | |----------|------------| | Framework | FastAPI | | Language | Python 3.11+ | | ORM | SQLAlchemy 2.0 | | Validation | Pydantic v2 | | Database | PostgreSQL | | Migrations | Alembic | | Auth | JWT, OAuth2 | | Testing | pytest | ## Quality Gates - [ ] All tests passing (>80% coverage) - [ ] Type checking passes (mypy) - [ ] Linting clean (ruff, black) - [ ] API documentation complete - [ ] Security scan passed - [ ] Performance benchmarks met ## Related Workflow Bundles - `development` - General development - `database` - Database operations - `security-audit` - Security testing - `api-development` - API patterns ## Limitations - Use this skill only when the task clearly matches the scope described above. - Do not treat the output as a substitute for environment-specific validation, testing, or expert review. - Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
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