By sickn33
Build production-ready Python backends with async patterns, FastAPI/Django architecture, testing strategies, and modern tooling (uv, ruff, pydantic). Guides framework selection, project structure, and performance optimization for Python 3.12+ applications. Includes async web APIs, microservices, real-time systems, and TDD workflows.
Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems.
Master Django 5.x with async views, DRF, Celery, and Django Channels. Build scalable web applications with proper architecture, testing, and deployment.
Build high-performance async APIs with FastAPI, SQLAlchemy 2.0, and Pydantic V2. Master microservices, WebSockets, and modern Python async patterns.
Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.
Python development principles and decision-making. Framework selection, async patterns, type hints, project structure. Teaches thinking, not copying.
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A complete local skill catalog for coding agents—from project inspection and agent-owned selection to a reproducible, reviewable plan.
Current release: V15.1.0. This release includes AAS Core for complete local catalog search, agent-owned selection, manifest validation, planning, and diagnosis. Apply and recovery remain experimental and outside the supported preview path.
Codex or Claude inspects your project, enumerates its primary capabilities, searches and compares candidates across the complete local AAS catalog, and chooses the exact skills. Core imposes no semantic policy that favors a small stack; the manifest format has an explicit technical maximum of 128 skills. All 1,968 skills in the current catalog remain individually searchable, readable, and selectable. AAS Core does not rank or recommend skills. Its read-only compose_stack tool validates and returns the agent-owned manifest in memory; a client or the aas CLI persists the reviewed stack and its optional selection-evidence sidecar.
Read the AAS Core preview guide →
Project
-> inspected by Codex or Claude (not by AAS)
-> agent searches and reads the complete local catalog
-> AAS MCP (local stdio, read-only)
-> Codex or Claude chooses exact skill IDs
-> compose_stack validates the selection in memory (read-only)
-> client or AAS CLI persists aas-stack.json and optional evidence
-> AAS CLI validate + immutable plan preview
-> human review (optionally in Workbench)
The 1,967+ reusable SKILL.md playbooks, specialized plugins, bundles, workflows, and direct installers remain important. They are the content, curation, distribution, and compatibility layers around AAS Core—not competing primary products.
This is an independent community project. It is not affiliated with, sponsored by, endorsed by, or authorized by Google. Google, Antigravity, Gemini, and related product names are referenced only to describe compatibility and install targets. The GitHub repository is canonical; the hosted catalog and browser-local Workbench are companion discovery and review surfaces, not a hosted control plane.
The agent composes. You control. AAS keeps the stack reproducible.
AAS Core gives the repository one product model:
npx claudepluginhub sickn33/agentic-awesome-skills --plugin agentic-bundle-python-proPlugin-safe Claude Code distribution of Agentic Awesome Skills with 1,933 supported skills.
Editorial "AAS Security Engineer" bundle for Claude Code from Agentic Awesome Skills.
Plugin-safe Claude Code distribution of Agentic Awesome Skills with 1,916 supported skills.
Editorial "Web Designer" bundle for Claude Code from Agentic Awesome Skills.
Editorial "AAS QA & Test Automation" bundle for Claude Code from Agentic Awesome Skills.
Editorial "Python Pro" bundle for Claude Code from Antigravity Awesome Skills.
Modern Python development with Python 3.12+, Django, FastAPI, async patterns, and production best practices
Python development capabilities
Python development tools. Includes 2 specialized agents and 8 skills.
Python technical specialists for Django, FastAPI, FastMCP, Celery, and testing
Use this agent when working with Python code that requires advanced features, performance optimization, or comprehensive refactoring. Examples: <example>Context: User needs to optimize a slow Python function that processes large datasets. user: "This function is taking too long to process our data, can you help optimize it?" assistant: "I'll use the python-expert agent to analyze and optimize your Python code with advanced techniques and performance profiling."</example> <example>Context: User wants to implement async/await patterns in their existing synchronous Python code. user: "I need to convert this synchronous code to use async/await for better performance" assistant: "Let me use the python-expert agent to refactor your code with proper async/await patterns and concurrent programming techniques."</example> <example>Context: User needs help implementing complex Python design patterns. user: "I want to implement a factory pattern with decorators for my API endpoints" assistant: "I'll use the python-expert agent to implement advanced Python patterns with decorators and proper design principles."</example>