google-adk-python
Build AI agents with Google ADK Python (Agent Development Kit). Use for multi-agent systems, workflow agents (sequential/parallel/loop), Vertex AI deployment, tool integration, human-in-the-loop.
Skills matching the name, description or GitHub author.
Build AI agents with Google ADK Python (Agent Development Kit). Use for multi-agent systems, workflow agents (sequential/parallel/loop), Vertex AI deployment, tool integration, human-in-the-loop.
Build backends with Node.js, Python, Go (NestJS, FastAPI, Django). Use for REST/GraphQL/gRPC APIs, auth (OAuth, JWT), databases, microservices, security (OWASP), Docker/K8s.
Modern backend patterns, API design, OWASP security checklist, testing pyramid. For Node.js, Python, Go backends.
Python FastAPI development with uv package manager, modular project structure, SQLAlchemy ORM, and production-ready patterns.
Expert Unreal Engine 5 developer and technical artist for complete game development via agentic coding. Enables AI-driven control of Unreal Editor through MCP, Python scripting, Blueprints, and C++ for level de...
Build high-performance async APIs with FastAPI, SQLAlchemy 2.0, and Pydantic V2. Master microservices, WebSockets, and modern Python async patterns. Use PROACTIVELY for FastAPI development, async optimization,...
Build custom chat API backends for OpenAI ChatKit frontend using FastAPI. Covers chat endpoint implementation, SSE streaming, conversation persistence, and integration with OpenAI Agents SDK + Gemini via LiteLL...
Persistent Python REPL server that avoids reloading heavy packages (torch, transformers, nnterp, vllm). Use when running multiple Python commands with heavy imports, loading ML models, or doing iterative testin...
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or...
Build MCP (Model Context Protocol) servers using the official Python SDK. Covers FastMCP high-level API with @mcp.tool(), @mcp.resource(), @mcp.prompt() decorators, FastAPI/Starlette integration, transports (st...
Quick MVP deployment to fly.io for JavaScript (Next.js, RedwoodSDK, Express), Rust (Axum, Rocket), Python (FastAPI), and generic Dockerfiles. Use when deploying applications to fly.io, setting up databases (Pos...
Modern Python 3.10+ patterns and idioms. Use this skill when writing new Python code, refactoring legacy code, or enforcing consistent style. Covers type hints, dataclasses, pattern matching, walrus operator,...
Guide Python type annotations using the typing module: Protocol, TypeVar, ParamSpec, Generic, Literal, TypeAlias, overload, and dataclass field typing. Use when the user writes Python type hints, asks about typ...
Knowledge management for AI-assisted development. Use this skill when: - Starting a new session or resuming work - User asks about tasks, bugs, notes, or project status - User mentions: "what's next", "where di...
Knowledge management for AI-assisted development. Use this skill when: - Starting a new session or resuming work - User asks about tasks, bugs, notes, or project status - User mentions: "what's next", "where di...
Knowledge management for AI-assisted development. Use this skill when: - Starting a new session or resuming work - User asks about tasks, bugs, notes, or project status - User mentions: "what's next", "where di...
Comprehensive guide to CPU and memory profiling in Node.js and Python for identifying bottlenecks and optimizing performance
This skill should be used when the user asks to "deploy to Railway", "deploy backend", "deploy Python app", "deploy Node.js server", "railway deployment", or mentions Railway hosting workflows.
Analyzes CSV files, generates summary stats, and plots quick visualizations using Python and pandas.
Use when you need to run interactive CLI tools (vim, git rebase -i, Python REPL, etc.) that require real-time input/output - provides tmux-based approach for controlling interactive sessions through detached se...
Omniscient hyper-elite software engineering command center. Triggers: write code, debug, fix bug, build app, create API, design system, architect, deploy, secure, optimize, refactor, review code, test, CI/CD, D...
Expert guidelines for Python ML and LLM workflows. Covers code quality, experiment tracking, and data handling. Use when working on AI/ML components or data pipelines.
Enforces best practices for FastAPI development, ensuring scalable, high-performance, and maintainable APIs. Use when working on server-side Python code involving FastAPI.
Comprehensive multi-AI code review system for Python, JavaScript, and TypeScript. Use when reviewing code for quality, security, performance, or best practices. Includes automated analysis scripts, language-spe...
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