Productivity skills

Automate Wrike project management via Rube MCP (Composio): create tasks/folders, manage projects, assign work, and track progress. Always search tools first for current schemas.

This project implements a sophisticated multi-agent research system based on the concepts described in Anthropic's article: Building a Multi-Agent Research System. The system leverages the power of coordinated AI agents to handle deep and complex research queries that require multiple perspectives and iterative investigation. The system is built around a Lead Research Agent that orchestrates the e

A unified personal data hub built on MCP (Model Context Protocol) that allows AI assistants to access your digital life from multiple platforms, providing truly personalized and contextual interactions. 1. Clone the repository 2. Install dependencies > 📖 See detailed installation instructions: Installation and Setup 3. Configure your API keys 4. Add to Cursor settings > 📖 See detailed MCP config

Structured task planning with clear breakdowns, dependencies, and verification criteria. Use when implementing features, refactoring, or any multi-step work.

An MCP (Model Context Protocol) tool that provides real-time weather data, forecasts, and historical weather information using the OpenWeatherMap API, specifically designed for Claude Desktop. For a detailed guide on setting up and using this tool, check out our comprehensive Medium tutorial: Tutorial: Using Claude Desktop with Weather MCP Tool to Access Real-Time Weather Data Worldwide - Real-tim

Smart context management for LLM development workflows. Share relevant project files instantly through intelligent selection and rule-based filtering. Getting the right context into LLM conversations is friction-heavy: - Manually finding and copying relevant files wastes time - Too much context hits token limits, too little misses important details - AI requests for additional files require manual

Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary. This skill covers tool design from schema to error handling. JSON Schema best practices, description writing that actually helps the LLM, validation, and the emerging MCP standard that's becoming the lingua franca for AI tools. Key insight: Tool descriptions are more important than tool implementa

PAI exists to solve the P0 problem in the world: activating human creative potential through AI. An open-source personal AI infrastructure that makes the best AI accessible to everyone, not just the rich or technical elite.

Stop copy-pasting between AI models. Roundtable AI is a local MCP server that lets your primary AI assistant delegate tasks to specialized models like Gemini, Claude, Codex, and Cursor. Solve complex engineering problems in parallel, directly from your IDE. Key Features: - Context Continuity: Shared project context across all sub-agents - Parallel Execution: All agents work simultaneously - Model

cache.overflow AI agents sharing knowledge with AI agents Your coding agent spends 10 minutes solving a problem. Another agent somewhere hits the same issue—solves it instantly. That's cache.overflow: a knowledge marketplace where AI agents learn from each other, making every problem cheaper to solve the second time around. - Earn passive income - Publish solutions once, earn tokens every time ano

Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring. Use when designing AI applications, implementing RAG, building agents, or setting up LLM observability.

Fast, opinionated TUI for AI-assisted coding. McGravity orchestrates AI coding tools (Claude Code, Codex, Gemini) in a tight feedback loop: plan small tasks → execute one at a time → review → replan. Instead of dumping a huge prompt and hoping for the best, McGravity breaks your work into atomic pieces that are easier to verify and course-correct. McGravity runs a continuous improvement loop: McGr

This skill should be used when the user asks to "optimize context", "reduce token costs", "improve context efficiency", "implement KV-cache optimization", "partition context", or mentions context limits, observation masking, context budgeting, or extending effective context capacity.

Expert in building custom tools that solve your own problems first. The best products often start as personal tools - scratch your own itch, build for yourself, then discover others have the same itch. Covers rapid prototyping, local-first apps, CLI tools, scripts that grow into products, and the art of dogfooding. Use when: build a tool, personal tool, scratch my itch, solve my problem, CLI tool.

Agent Skill Loader is a Model Context Protocol (MCP) server that acts as a bridge between your static Claude Code Skills library and dynamic AI agents (like Antigravity, Claude Desktop, or Cursor). It allows agents to "learn" skills on demand without requiring you to manually copy files into every project. Discovery: listskills - Scans your configured skill directories. Dynamic Learning: readskill

Manage issues, projects & team workflows in Linear. Use when the user wants to read, create or updates tickets in Linear.

A local-first CLI that orchestrates multi-agent AI workflows for software development. Give it a task — or feed it your specs, PRDs, and guidelines — and it coordinates specialized agents to architect, code, review, test, and ship automatically. No cloud dependency. Bring your own API keys. Your code stays on your machine. Each stage uses a specialized AI agent with tuned prompts and parameters. T

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

Use when you have a written implementation plan to execute in a separate session with review checkpoints

cognee‑mcp - Run cognee’s memory engine as a Model Context Protocol server Join Discord Join r/AIMemory Build memory for Agents and query from any client that speaks MCP – in your terminal or IDE. - Multiple transports – choose Streamable HTTP --transport http (recommended for web deployments), SSE --transport sse (real‑time streaming), or stdio (classic pipe, default) - API Mode – connect to an a

Automate Todoist task management, projects, sections, filtering, and bulk operations via Rube MCP (Composio). Always search tools first for current schemas.

Use when working with code refactoring context restore