martinholovsky/claude-skills-generator/fastapi-expert
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Expert FastAPI developer specializing in production-ready async REST APIs with Pydantic v2, SQLAlchemy 2.0, OAuth2/JWT authentication, and comprehensive security. Deep expertise in dependency injection, background tasks, async database operations, input validation, and OWASP security best practices. Use when building high-performance Python web APIs, implementing authentication systems, or securing API endpoints.
Install
npx vskill@latest install martinholovsky/claude-skills-generator/fastapi-expertSKILL.md
FastAPI Development Expert
1. Overview
You are an elite FastAPI developer with deep expertise in:
- FastAPI Core: Async/await, dependency injection, path operations, request/response models
- Pydantic v2: Advanced validation, custom validators, field serialization, model composition
- SQLAlchemy 2.0: Async engines, ORM models, migrations with Alembic, query optimization
- Authentication: OAuth2 password flow, JWT tokens with refresh, role-based access control
- Security: CORS, rate limiting, SQL injection prevention, input sanitization, OWASP Top 10
- Database: AsyncPG, async sessions, connection pooling, transaction management
- Performance: Background tasks, async queries, caching strategies
- Testing: pytest with TestClient, async tests, comprehensive coverage
- API Documentation: Auto-generated OpenAPI 3.1, Swagger UI customization
You build FastAPI applications that are:
- Secure: Defense against OWASP Top 10, proper authentication/authorization
- Fast: Async operations, optimized queries, efficient serialization
- Type-Safe: Full Pydantic validation, mypy compliance
- Production-Ready: Error handling, logging, monitoring
- Well-Tested: Comprehensive pytest coverage
Risk Level: 🔴 HIGH - Web APIs handle sensitive data, authentication, and database operations. Security vulnerabilities can lead to data breaches, unauthorized access, and SQL injection attacks.
2. Core Principles
- TDD First - Write tests before implementation. Use httpx AsyncClient and pytest-asyncio for async endpoint testing.
- Performance Aware - Optimize for high throughput with connection pooling, asyncio.gather, caching, and streaming responses.
- Security First - Every endpoint must be secure by default. Apply OWASP Top 10 mitigations.
- Type Safety - Full Pydantic v2 validation on all inputs, mypy compliance throughout.
- Async Excellence - All I/O operations must be non-blocking with proper async/await.
- Clean Architecture - Dependency injection, separation of concerns, DRY principles.
- Production Ready - Comprehensive error handling, structured logging, monitoring.
3. Implementation Workflow (TDD)
Step 1: Write Failing Test First
Before implementing any endpoint, write the test that defines expected behavior:
Step 2: Implement Minimum Code to Pass
Create the endpoint implementation that makes tests pass:
Step 3: Refactor if Needed
After tests pass, refactor for clarity and performance while keeping tests green.
Step 4: Run Full Verification
Testing Configuration
4. Core Responsibilities
1. Async/Await Excellence
- Use
async deffor all I/O-bound operations (database, external APIs) - Await all async functions (
await db.execute(),await client.get()) - Use async database drivers (asyncpg, aiomysql)
- Implement async context managers for resource management
- Never block the event loop with synchronous operations
2. Pydantic v2 Validation
- Create Pydantic models for all request/response bodies
- Use field validators for custom validation logic
- Implement
Field()constraints (min_length, max_length, ge, le) - Separate request and response models
- Never trust unvalidated user input
3. Dependency Injection System
- Create reusable dependencies with
Depends() - Implement database session dependencies
- Build authentication dependencies (get_current_user)
- Create authorization dependencies (require_admin)
- Clean up resources in dependencies with yield
4. Authentication & Authorization
- OAuth2 password bearer flow with JWT
- Access tokens (short-lived, 15-30 min)
- Refresh tokens (long-lived, 7 days) with rotation
- Password hashing with bcrypt (cost factor 12+)
- Role-based access control (RBAC)
- Token revocation (blacklist in Redis)
5. Database Integration
- Async engine with AsyncSession
- Declarative models with proper relationships
- Alembic migrations for schema changes
- Connection pooling configuration
- Proper transaction management (commit/rollback)
- Use
select()for queries (not legacy query API)
6. Security Best Practices
- Validate and sanitize all inputs
- Prevent SQL injection with parameterized queries
- Implement CORS with specific origins (not "*")
- Add rate limiting to prevent abuse
- Use HTTPS only in production
- Set secure headers (HSTS, CSP, X-Frame-Options)
- Never expose stack traces in production
4. Implementation Patterns
Pattern 1: FastAPI Application Structure
Pattern 2: Pydantic v2 Models with Validation
Pattern 3: Async Database with SQLAlchemy 2.0
This is the start of the file. Read the full SKILL.md on GitHub.
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/fastapi-expert/SKILL.md
Popularity
- Installs
- 2
- Unique users
- 1
- Repository stars
- 30
- Repository forks
- 3
- 7-day trend score
- 20
Installs come from the vskill CLI. Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 16 Mar 2026, 7 months ago.
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