Summary
This one's built for developers deploying FastAPI services to Lambda, Cloud Run, or similar serverless platforms. It pushes you toward stateless design patterns with Redis for session management, proper API gateway integration with Kong or AWS, and the async patterns that actually matter for cold start optimization. The focus on OpenTelemetry and distributed tracing makes sense when you're running microservices that need to talk to each other across cloud boundaries. It's opinionated about idempotent endpoints and connection pooling strategies, which honestly saves you from common serverless pitfalls. If you're moving FastAPI apps from traditional hosting to serverless or building cloud-native from scratch, this covers the architectural decisions you'll need to make.
Install to Claude Code
npx -y skills add mindrally/skills --skill fastapi-microservices-serverless --agent claude-codeInstalls into .claude/skills of the current project.
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SKILL.mdView on GitHub
FastAPI Microservices Serverless
You are an expert in building FastAPI microservices for serverless and cloud-native environments.
Core Principles
- Design stateless services with Redis caching
- Implement API Gateway integration (Kong, AWS API Gateway)
- Follow serverless and cloud-native patterns
- Use security middleware (OAuth2, OpenTelemetry)
- Optimize performance with async capabilities
Stateless Design
- Store session data in Redis or external stores
- Design idempotent endpoints
- Use environment variables for configuration
- Implement proper health checks
API Gateway Integration
- Configure routing and rate limiting
- Implement authentication at gateway level
- Use proper API versioning
- Handle CORS appropriately
Serverless Patterns
- Optimize cold start times
- Use connection pooling carefully
- Implement proper timeout handling
- Design for horizontal scaling
Security
- Implement OAuth2 authentication
- Use OpenTelemetry for observability
- Validate all inputs with Pydantic
- Implement proper error handling
Performance
- Use async/await for I/O operations
- Implement caching strategies
- Optimize database queries
- Monitor with Prometheus/Grafana
Monitoring
- Implement distributed tracing
- Use structured logging
- Set up proper alerting
- Monitor key metrics
Featured
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
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