Skills AI Agent Skills

Recursive Decomposition Skill Handle long-context tasks with Claude Code through recursive decomposition What It Does • Installation • How It Works • Benchmarks • Acknowledgments When analyzing large codebases, processing many documents, or aggregating information across dozens of files, Claude's context window becomes a bottleneck. As context grows, "context rot" degrades performance: - Missed de

A personal filesystem that works as your life operating system — designed to be read, queried, and operated on by an AI agent. Life OS is a structured set of markdown files that give an AI agent (Goose, Claude, or any LLM with filesystem access via MCP) persistent context about your life — who you are, what you're working on, what you're learning, and what's happened. The AI reads these files at t

A Model Context Protocol server for generating charts using AntV. We can use this mcp server for chart generation and data analysis. This is a TypeScript-based MCP server that provides chart generation capabilities. It allows you to create various types of charts through MCP tools. You can also use it in Dify. - ✨ Features - 🎨 Skill Usage - 🚰 Run with SSE or Streamable transport - 🎮 CLI Options

Netresearch AI skill for assessing and enhancing software projects to meet enterprise-grade standards for security, quality, and automation. This is an Agent Skill following the open standard originally developed by Anthropic and released for cross-platform use. Supported Platforms: - ✅ Claude Code (Anthropic) - ✅ GitHub Copilot - ✅ Other skills-compatible AI agents - OpenSSF Framework Alignment -

English | 简体中文 🧠 The data layer for AI systems. Skill Seekers turns any documentation, GitHub repo, or PDF into structured knowledge assets—ready to power AI Skills (Claude, Gemini, OpenAI), RAG pipelines (LangChain, LlamaIndex, Pinecone), and AI coding assistants (Cursor, Windsurf, Cline) in minutes, not hours. Skill Seekers is the universal preprocessing layer that sits between raw documentatio

A multi-model AI orchestration MCP server for automated code review and LLM-powered analysis. Multi-MCP integrates with Claude Code CLI to orchestrate multiple AI models (OpenAI GPT, Anthropic Claude, Google Gemini) for code quality checks, security analysis (OWASP Top 10), and multi-agent consensus. Built on the Model Context Protocol (MCP), this tool enables Python developers and DevOps teams to

obsidian-cli-plugins is a Codex/agent skill for Obsidian vault automation. It provides a stable script interface for vault doctor checks, Git-backed sync, daily/weekly/monthly journal records, Tasks plugin todos, project records under 01project/, safe vault reads/searches, attachment-backed records, Obsidian plugin commands, and OpenClaw skill sync. The distributable skill lives at: The repository

Turn your AI IDE session history (Cursor, Windsurf, Claude Code) into reusable skills and specs. Runs locally, watches your IDE, and generates SKILL.md-style artifacts from what you actually did.

The semantic engine for MCP clients. Define metrics once, query from anywhere. Docs · Getting Started · Changelog · Discord · Bonnard is an agent-native semantic layer CLI. Deploy an MCP server and governed analytics API in minutes -for AI agents, BI tools, and data teams. Define metrics and dimensions in YAML, validate locally, and ship to production. Works with Snowfl