Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
Version History
- Added author and dependencies fields to skill metadata for clarity and usability. - Updated prerequisite instructions: clarified that `cellcog` is now a required dependency for SDK setup and API calls. - No changes to core learning modes or features; documentation and usage patterns remain the same.
What This Skill Does
CellCog tutors any subject by explaining concepts through diagrams, analogies, worked examples, practice problems, and interactive breakdowns. It covers topics from beginner math to cloud certifications and foreign languages. Ranked #1 on DeepResearch Bench (Feb 2026) for reasoning depth.
It delivers multiple explanation formats in a single response, so you don't need to consult textbooks, videos, and forums separately to find an angle that clicks.
When to use it
- Getting step-by-step calculus problem walkthroughs
- Generating flashcards for a language exam
- Building a study guide for AWS certification prep
- Debugging code while learning why it failed
- Practicing conversational Japanese with grammar and cultural notes
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Explain recursion in Python. I'm a beginner comfortable with loops. Include examples and practice problems.
- 1Creates a CellCog chat in agent mode with the learning prompt
- 2CellCog generates a definition and visual representation of recursion
- 3Produces three progressively harder examples: factorial, fibonacci, tree traversal
- 4Adds common mistakes and notes on when to use recursion vs iteration
- 5Returns practice problems with solutions
Structured explanation with runnable Python code examples, a diagram, and graded practice problems
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.