Productivity skills

Automate OneDrive file management, search, uploads, downloads, sharing, permissions, and folder operations via Rube MCP (Composio). Always search tools first for current schemas.

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

Use when executing implementation plans with independent tasks in the current session

This skill should be used when the user asks to "design multi-agent system", "implement supervisor pattern", "create swarm architecture", "coordinate multiple agents", or mentions multi-agent patterns, context isolation, agent handoffs, sub-agents, or parallel agent execution.

Capture conversations and decisions into structured Notion pages; use when turning chats/notes into wiki entries, how-tos, decisions, or FAQs with proper linking.

Use when a user asks for a plan for a coding task, to generate a clear, actionable, and atomic checklist.

A vibe-coded memory management system with RAG capabilities for Claude via the Model Context Protocol (MCP). SimpleMem is an MCP server that provides persistent memory storage and retrieval for Claude and other MCP clients. It combines traditional file-based storage with modern RAG (Retrieval-Augmented Generation) capabilities, including semantic search and automatic relationship discovery. Think

Automate Google Drive file operations (upload, download, search, share, organize) via Rube MCP (Composio). Upload/download files, manage folders, share with permissions, and search across drives programmatically.

Model Context Protocol (MCP) server for Hashgraph Online’s Registry Broker. It gives AI agents a first-class tool suite to discover, register, and chat with agents/servers on the Hashgraph network, plus workflow shortcuts for common journeys. - Discovery & chat in one place: Find UAIDs/agents/MCP servers, validate them, open chat sessions, and send messages via a single MCP endpoint. - Registratio

Design LLM applications using the LangChain framework with agents, memory, and tool integration patterns. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.

Use when working with context management context save

RAGMap is a lightweight MCP Registry-compatible subregistry + MCP server focused on RAG-related MCP servers. - Ingests the official MCP Registry, enriches records for RAG use-cases, and serves a subregistry API. - Exposes an MCP server (remote Streamable HTTP + local stdio) so agents can search/filter RAG MCP servers. MapRag is a discovery + routing layer for retrieval. It helps agents and humans

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

Development skill from everything-claude-code

Seamlessly integrate Anki with AI assistants through the Model Context Protocol Beta - This project is in active development. APIs and features may change. A Model Context Protocol (MCP) server that enables AI assistants to interact with Anki, the spaced repetition flashcard application. Transform your Anki experience with natural language interaction - like having a private tutor. The AI assistan

A Model Context Protocol server enabling Claude to maintain user context through Apache Unomi profile management. This implementation provides: - Profile lookup and creation using email - Profile property management - Basic session handling - Scope management for context isolation Other Unomi features (events, segments, session properties, etc.) are not currently implemented. Community feedback we

Automate Monday.com work management including boards, items, columns, groups, subitems, and updates via Rube MCP (Composio). Always search tools first for current schemas.

tilde is a privacy-first Model Context Protocol (MCP) server that acts as the universal memory and profile layer for AI Agents. Configure once. Use everywhere. Your data, your control. Supports profile management, skills, resume import, and team sync. Every time you switch AI tools, you face the same issues: - 🔄 Repetition: "I'm a Senior SWE", "I prefer Python", "Don't use ORMs" - 🧩 Fragmentatio

Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies

A Model Context Protocol (MCP) server for launching and managing macOS applications. - List all applications installed in the /Applications folder - Launch applications by name - Open files with specific applications Add the following to your Claude Config JSON file

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

Make your meetings accessible to AI Agents 🤖 joinly.ai is a connector middleware designed to enable AI agents to join and actively participate in video calls. Through its MCP server, joinly.ai provides essential meeting tools and resources that can equip any AI agent with the skills to perform tasks and interact with you in real time during your meetings. - Live Interaction: Lets your agents exec

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