Clear the sequential thinking state to restart problem-solving processes, enabling structured analysis and alternative reasoning paths for complex tasks.
Enables AI assistants to break down complex problems into structured, step-by-step processes, revise thinking, and explore alternative reasoning paths effectively.
Retrieve a summary of structured thinking sessions to review step-by-step reasoning processes and alternative paths explored during complex problem-solving.
Transform any AI agent into a domain expert by giving it access to modular, reusable skills through the Model Context Protocol. Brings Claude's Skills format to any MCP-compatible agent, allowing you to create skills once and use them everywhere.
A guide for implementing Model Context Protocol (MCP) servers that provide AI models with external tools like web search, text manipulation, and mathematical operations.
A package manager for AI agents that connects LLMs to a global registry of capabilities, allowing them to autonomously discover, install, and learn new skills from a centralized repository.