Async Python Patterns

Async Python Patterns

Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems.

Use this skill when

• Building async web APIs (FastAPI, aiohttp, Sanic)
• Implementing concurrent I/O operations (database, file, network)
• Creating web scrapers with concurrent requests
• Developing real-time applications (WebSocket servers, chat systems)
• Processing multiple independent tasks simultaneously
• Building microservices with async communication
• Optimizing I/O-bound workloads
• Implementing async background tasks and queues

Do not use this skill when

• The workload is CPU-bound with minimal I/O.
• A simple synchronous script is sufficient.
• The runtime environment cannot support asyncio/event loop usage.

Instructions

• Clarify workload characteristics (I/O vs CPU), targets, and runtime constraints.
• Pick concurrency patterns (tasks, gather, queues, pools) with cancellation rules.
• Add timeouts, backpressure, and structured error handling.
• Include testing and debugging guidance for async code paths.
• If detailed examples are required, open resources/implementation-playbook.md.

Refer to resources/implementation-playbook.md for detailed patterns and examples.

Resources

• resources/implementation-playbook.md for detailed patterns and examples.

AGI Framework Integration

Adapted for @techwavedev/agi-agent-kit Original source: antigravity-awesome-skills

Memory-First Protocol

Retrieve prior API design decisions, database schema choices, and error handling patterns. Cache API response templates for consistent error formatting.

# Check for prior backend/API context before starting
python3 execution/memory_manager.py auto --query "API design patterns and architecture decisions for Async Python Patterns"

Storing Results

After completing work, store backend/API decisions for future sessions:

python3 execution/memory_manager.py store \
  --content "API architecture: REST with HATEOAS, JWT auth, rate limiting at 100 req/min per tenant" \
  --type decision --project <project> \
  --tags async-python-patterns backend

Multi-Agent Collaboration

Share API contract changes with frontend agents so they update their client code, and with QA agents for test coverage.

python3 execution/cross_agent_context.py store \
  --agent "<your-agent>" \
  --action "Implemented API endpoints — 5 new routes with OpenAPI spec and integration tests" \
  --project <project>

Agent Team: Code Review

After implementation, dispatch code_review_team for two-stage review (spec compliance + code quality) before merging.