backend-dev

name: backend-dev description: Backend development skill for Node.js, Python, TypeScript with Express, FastAPI, and AI frameworks like Mastra, LangGraph, OpenAI SDK, and Google ADK license: MIT compatibility: opencode metadata: audience: developers workflow: backend

Backend Development Skill

Technologies

• Node.js / TypeScript / JavaScript
• Python for ML/AI workloads
• Express.js for Node.js APIs
• FastAPI for Python APIs

Database

• PostgreSQL, MongoDB, Mongoose, SQL, SQLite
• Follow the database specified by user
• If not specified, suggest appropriate option based on use case

AI Frameworks

• Mastra for agent orchestration
• LangGraph for graph-based agents
• OpenAI SDK for GPT integration
• Azure OpenAI for enterprise
• Google ADK for Gemini integration

Protocols

• Google UCP (Universal Context Protocol)
• A2A (Agent-to-Agent)
• A2UI (Agent-to-User Interface)
• AGUI (Agent GUI patterns)

Cutting Edge Technologies

• Always ready to work with newly introduced technologies
• ALWAYS refer to documentation before implementing
• Use context7 for framework documentation
• Use gh_grep for real-world examples

Before Implementation

1. Use context7 to look up framework documentation
2. Use gh_grep to find production examples
3. Check API versioning and deprecations
4. Review rate limits and error handling patterns

Best Practices

• Use latest stable versions
• Implement proper error handling
• Add request validation (zod, pydantic)
• Implement rate limiting
• Add health checks
• Use structured logging
• Implement graceful shutdown

Security

• Validate all inputs
• Sanitize outputs
• Use environment variables for secrets
• Work directly with .env files (not .env.local or .env.example)
• Implement proper authentication
• Follow OWASP guidelines

Environment Files

• Read and work directly with .env files
• Do not create .env.local or .env.example unless explicitly requested
• Ensure .env is in .gitignore