আপনার এজেন্টের জন্য উপযুক্ত সক্ষমতা খুঁজে নিন।
Build agentic systems using Claude CLI in headless mode or the Claude Agent SDK. Use when building automation pipelines, CI/CD integrations, multi-agent orchestration, or programmatic Claude interactions. Covers CLI flags (-p, --output-format), session management (--resume, --continue), Python SDK (claude-agent-sdk), custom tools, and agent loop patterns.
This skill should be used when the user asks to "setup conda environment", "configure Python environment", "activate conda automatically", "set conda environment for workspace", or mentions conda environment activation for Claude Code. Provides automatic conda environment configuration for workspaces.
Patterns for building AI chatbot frontends using OpenAI ChatKit with Next.js App Router, including custom backend integration via ChatKit Python SDK.
Comprehensive guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Covers both Python (FastMCP) and Node/TypeScript (MCP SDK) implementations.
Expert guidance for building multi-agent AI applications using the OpenAI Agents SDK for Python. Use when (1) creating agents with handoffs, tools, guardrails, or sessions, (2) implementing structured outputs with Pydantic models, (3) building agentic workflows, (4) debugging and tracing agent execution, (5) working with provider-agnostic LLM applications (OpenAI, Anthropic, LiteLLM), or (6) implementing customer support, legal research, financial analysis, or autonomous task completion systems.
LLM이 잘 설계된 도구를 통해 외부 서비스와 상호작용할 수 있게 해주는 고품질 MCP (Model Context Protocol) 서버를 만들기 위한 가이드입니다. Python (FastMCP) 또는 Node/TypeScript (MCP SDK)를 사용하여 외부 API나 서비스를 통합하는 MCP 서버를 구축할 때 사용하세요.
Expert guidance for integrating paid AI model APIs including Claude (Anthropic), OpenAI, Google Gemini, Groq, and others with Python applications
Comprehensive Anthropic product expertise covering Claude models, Claude API, Python SDK, Agent SDK, Claude Code, and Model Context Protocol. Six integrated capabilities with complete documentation, searchable references, code examples, and cross-product integration patterns. Use when working with Claude API, building agents, using SDKs, developing with Claude Code, integrating MCP servers, learning Anthropic products, optimizing costs, implementing Anthropic features, managing context, using Opus 4.5, or implementing advanced tool patterns.
Universal Python/Node.js backend expert. Handles API routes, database operations, business logic, configuration management, anti-duplication checks. Auto-activates on keywords "backend", "API", "database", "server", "endpoint", "Python", "FastAPI" or paths api/**, services/**, models/**.
Generate production-quality Python code for robot motion planning algorithms that run in Pyodide (browser). Creates educational code for teaching path planning (A*, RRT), trajectory optimization, PID control, model predictive control (MPC), and whole-body control. Focuses on algorithm implementation, visualization, and educational clarity.
Invoke Claude Code CLI from Python orchestrators and shell scripts. Use when asked to "spawn claude as subprocess", "automate claude cli", "run claude headless", "configure --allowedTools", "set up claude hooks", or "parallel claude invocation". Covers permissions, directory access (--add-dir), hooks, sandbox mode, and async patterns.
Gemini 3 Pro API/SDK integration for text generation, reasoning, and chat. Covers setup, authentication, thinking levels, streaming, and production deployment. Use when working with Gemini 3 Pro API, Python SDK, Node.js SDK, text generation, chat applications, or advanced reasoning tasks.
Comprehensive FastAPI development skill for building production-ready Python APIs from Hello World to enterprise applications. Use this skill when the user asks about FastAPI or wants to build APIs with Python, including: (1) Creating new FastAPI projects or applications, (2) Building REST APIs with path operations, query parameters, request bodies, (3) Implementing authentication and authorization with OAuth2, JWT tokens, API keys, (4) Database integration with SQLModel, SQLAlchemy, CRUD operations, (5) Project structuring with APIRouter, dependencies, middleware, (6) Testing FastAPI applications with TestClient and pytest, (7) Deployment strategies including Docker, cloud platforms, HTTPS configuration, (8) Advanced features like WebSockets, background tasks, CORS, file uploads, (9) Debugging FastAPI issues or improving existing FastAPI code, (10) Questions about FastAPI best practices, patterns, or architecture. Triggers include phrases like "build an API", "create FastAPI app", "add authentication", "set
Python backend development for CTF-AI. Use when working on game engine, player logic, pathfinding, WebSocket server, or any backend Python code.
This skill helps create Python agents using the openai-agents package, following best practices for agent definition and configuration.
OpenAI Agents SDK - A lightweight, powerful framework for building multi-agent workflows with Python
Generate images using Google Gemini's image generation APIs via Python CLI. Use for "generate image", "create image", "gemini image", "AI image", or when needing AI image generation in Claude Code.
FastAPI + Python backend development specialist. Use when building APIs, endpoints, database integration, authentication, background tasks, or debugging Python backends. Includes Supabase server-side patterns, Pydantic validation, async operations, and Railway/Vercel deployment.
Overview of Clojure + Google ADK + Vertex AI development environment. Comprehensive lab for building production AI agents using Clojure as primary language, integrating Google ADK via Java SDK and Python libraries via libpython-clj. Includes healthcare pipeline with validated ROI (-99.4% time, -92.4% cost). Use when starting new projects, understanding architecture, or needing general context about the stack.
