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215,493 tools. Last updated 2026-06-20 00:24

"A guide to improving cognitive skills and thinking processes" matching MCP tools:

  • Change thinking processes between analytical, intuitive, creative, critical, or meta-cognitive modes to adapt reasoning approaches for different tasks.
    MIT
  • Access the skill writing guide to learn file format, writing principles, and optimization techniques. Improve your skills with clear, actionable instructions.
    MIT
  • Import a local skill as a global app accessible across all projects. Start here to receive the import guide.
    Apache 2.0
  • Retrieve a meta-view of your engagement with a domain over time: total conversations, thinking stage distribution, importance peaks, and cognitive patterns.
    MIT
  • Monitor and adjust reasoning strategies within deep-thinker to overcome stuck states and improve problem-solving processes.
    MIT
  • Load expert-crafted workflows and best practices to guide AI assistants through proven techniques for coding tasks, accessing community and custom skills.
    MIT

Matching MCP Servers

  • F
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    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.
    Last updated
    27
    26
  • A
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    Enables AI agents to access and manage project guidelines, documentation, and context through a structured content system with template support and workflow management.
    Last updated
    37
    MIT

Matching MCP Connectors

  • Find relevant Smart‑Thinking memories fast. Fetch full entries by ID to get complete context. Spee…

  • Search and discover Agent Skills from the skills.sh registry. Powered by HAPI MCP server.

  • Reconstruct your cognitive state for any domain: retrieve where you left off, including thinking stage, open questions, decisions, concepts, and emotional tone to resume your train of thought.
    MIT
  • Analyze thinking process statistics to track cognitive patterns and reasoning performance within memory management systems.
    MIT
  • Generate sequential reasoning chains to structure complex thinking processes by breaking topics into logical steps for clearer analysis.
    MIT
  • Fetch a single tree node and the IDs of its attached memories, rules, and skills by providing workspace and node UUIDs.
    MIT
  • Search for AI agent skills with personalized results that exclude already-installed skills and apply your preferences. Returns a JSON array of matching skills with metadata.
    MIT
  • Install up to 20 specific skills by slug in a single call. Returns install configs for found skills and lists any invalid slugs.
    MIT
  • Retrieve a seven-day activity summary of your cognitive graph, optionally filtered by project. Requires an account with connected storage.
    AGPL 3.0
  • Erase all recorded preference signals and reset the thinking profile to its default configuration, removing all personalized adjustments.
    AGPL 3.0
  • Recomputes connections, idea sources, and agent feedback from the last 90 days to update the thinking profile.
    AGPL 3.0