mcp-management
Manage Model Context Protocol (MCP) servers - discover, analyze, and execute tools/prompts/resources from configured MCP servers. Use when working with MCP integrations, need to discover available MCP capabilit...
Découvrez les skills tools llm ai, comparez leurs dépôts et consultez leurs instructions.
Manage Model Context Protocol (MCP) servers - discover, analyze, and execute tools/prompts/resources from configured MCP servers. Use when working with MCP integrations, need to discover available MCP capabilit...
Process large codebases using Recursive Language Model patterns. Use when context exceeds 50K tokens or requires deep multi-file analysis.
FastAPI Python backend for LLM Arena game server. Use when working on API endpoints, LLM provider integration via LiteLLM, game move processing, prompt engineering for AI players, error handling, or backend tes...
Guide for creating effective skills, adding skill references, skill scripts or optimizing existing skills. This skill should be used when users want to create a new skill (or update an existing skill) that exte...
Explain what this skill does and when Claude should use it. Include trigger keywords and use cases.
Generate comprehensive work summaries from daily notes or conversation context. Use for performance reviews, project retrospectives, or documenting completed work with timeline and impact.
Design and implement Model Context Protocol servers for standardized AI-to-data integration with resources, tools, prompts, and security best practices
Build autonomous AI agents using Claude Agent SDK with computer use, tool calling, MCP integration, and production best practices for Anthropic models
Build production-ready multi-agent systems using OpenAI AgentKit and Agents SDK with best practices for agent orchestration, handoffs, and routines
Build production-grade agentic workflows with LangGraph using graph-based orchestration, state machines, human-in-the-loop, and advanced control flow
Design framework-agnostic AI agents using Oracle's Open Agent Specification for portable, interoperable agentic systems with JSON/YAML definitions
Use this if the user wants to connect to Ollama or leverage Ollama in any shape or form inside their project. Guide users integrating Ollama into their projects for local AI inference. Covers installation, conn...
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...
Replace with description of the skill and when Claude should use it.
Use when managing context window usage, compressing long sessions, or optimizing token usage. Triggers on keywords like "context", "memory", "tokens", "compress", "summarize session", "context limit", "optimize...
Synchronize and update Claude Code and GitHub Copilot development tool configurations to work similarly. Use when asked to update Claude Code setup, update Copilot setup, sync AI dev tools, add new skills/promp...
Interactive workflow advisor that helps you choose optimal AI primitives from agentconfig.org based on your specific workflow needs, skill level, and tooling preferences. Use when deciding which primitives to i...
Generate llms.txt and llms-full.txt files for AI agent consumption following the llmstxt.org standard. Use when updating site content that should be reflected in the llms files, or when building/deploying the s...
Understanding output styles in Claude Code (deprecated feature). Use when user asks about customizing Claude's behavior, output styles, or explanatory/learning modes.
Complete guide to Agent Skills - modular capabilities that extend Claude's functionality. Use when user asks about creating Skills, Skill structure, progressive disclosure, or custom capabilities for Claude.
Understanding the Model Context Protocol (MCP) and how to use it in Claude Code. Use when user asks about MCP, Model Context Protocol, connecting external tools, MCP servers, or extending Claude's capabilities.
Quickstart guide for installing and using Claude Code for the first time. Use when user asks about installation, setup, getting started, or basic usage.
How to run Claude Code in headless mode for automation, scripting, and CI/CD integration. Use when user asks about non-interactive mode, automation, scripting, or programmatic usage.
How to deploy Claude Code with Amazon Bedrock, Google Vertex AI, and other cloud providers. Use when user asks about AWS Bedrock, GCP Vertex AI, cloud deployment, or enterprise deployment.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.