learn-cog
The best tutors explain the same concept five different ways. CellCog does too — diagrams, analogies, worked examples, practice problems, and interactive explanations. #1 on DeepResearch Bench (Feb 2026). Tutoring, homework help, study guides, exam prep, coding tutorials, language learning — every subject, every level.
Why use this skill?
Master any topic with Learn-Cog for OpenClaw. Get 5-way explanations, diagrams, study guides, and problem-solving help from the #1 ranked educational AI agent skill.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/nitishgargiitd/learn-cogWhat This Skill Does
Learn-Cog is a premier tutoring and educational assistant skill designed for the OpenClaw AI agent framework. Holding the #1 position on the DeepResearch Bench (Feb 2026), it excels in breaking down complex concepts using first-principles reasoning. Unlike standard LLM interactions, Learn-Cog employs a multi-modal pedagogical approach, ensuring that every explanation is reinforced through five distinct lenses: intuitive analogies, rigorous diagrams, step-by-step worked examples, interactive practice problems, and comprehensive study guides. Whether you are a student tackling homework, a developer debugging code, or a lifelong learner mastering a new discipline, Learn-Cog adapts to your specific learning style and proficiency level.
Installation
To integrate Learn-Cog into your agent environment, you must first ensure the foundational SDK components are configured via the cellcog skill. Installation is handled through the clawhub CLI:
- Install the base dependency:
clawhub install cellcog - Install the Learn-Cog skill:
clawhub install openclaw/skills/skills/nitishgargiitd/learn-cog
Ensure your configuration allows for asynchronous callback handling as the skill utilizes a daemon-based notification system for long-running educational tasks.
Use Cases
- Concept Mastery: Decomposition of dense theoretical subjects into manageable parts using visual aids and comparative analogies.
- Academic Support: Iterative problem solving for STEM subjects, including calculus, physics, and chemistry, with emphasis on the 'why' behind the steps.
- Language & Skill Acquisition: Generation of curated flashcards, structured study guides, and cheat sheets for rapid information retrieval.
- Software Development: Debugging assistance that prioritizes conceptual understanding over simple code fixes.
Example Prompts
- "Explain the concept of entropy using a library organization analogy, then provide a diagram and three practice questions to test my understanding."
- "I'm struggling with the derivative of f(x) = x³sin(x). Please walk me through the product rule step-by-step and provide two similar problems for me to solve."
- "Create a comprehensive AP Chemistry study guide for the upcoming exam, focusing on thermodynamics. Include a summary section, key formulas, and a 10-question practice quiz."
Tips & Limitations
To maximize the efficacy of this skill, be specific with your 'Level' (e.g., 'explain like I am 5' vs. 'undergraduate physics major'). When requesting complex math or coding help, providing the specific error message or your current working steps will significantly improve the quality of the output. Note that this skill relies on the cellcog daemon for processing; avoid polling the status manually and wait for the system notification to ensure a smooth, asynchronous workflow. Always verify high-stakes academic answers against canonical textbooks.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-nitishgargiitd-learn-cog": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: external-api
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