# Async Python Patterns > Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-... Use when this capability is needed. - Skill: `tomevault-io/async-python-patterns-5` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add tomevault-io/async-python-patterns-5` - Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/async-python-patterns-5/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: AI & ML - Author: tomevault-io (https://skillmd.com/u/tomevault-io) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/tomevault-io/async-python-patterns-5 --- # 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](https://www.npmjs.com/package/@techwavedev/agi-agent-kit)** > Original source: [antigravity-awesome-skills](https://github.com/sickn33/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. ```bash # 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: ```bash 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 \ --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. ```bash python3 execution/cross_agent_context.py store \ --agent "" \ --action "Implemented API endpoints — 5 new routes with OpenAPI spec and integration tests" \ --project ``` ### Agent Team: Code Review After implementation, dispatch `code_review_team` for two-stage review (spec compliance + code quality) before merging. --- > Converted and distributed by [TomeVault](https://tomevault.io/claim/techwavedev) — claim your Tome and manage your conversions.