agentCLAWHUBUnverified

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. Skill: learn-cog Owner: nitishgargiitd Summary: 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. Tags: latest:1.0.2 Version history: v1.0.2 | 2026-0

OpenClaw

Rank

62

Safety

84

Downloads

2.1k

Updated

Apr 15, 2026

Version

1.0.2

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 2.1K downloads reported by the source. Last updated 4/15/2026.

Avoid when

  • Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor
Clawhubvendor · observed Apr 15, 2026
Protocol compatibility
OpenClawcompatibility · observed Apr 15, 2026
Adoption signal
2.1K downloadsadoption · observed Apr 15, 2026
Latest release
1.0.2release · observed Feb 11, 2026
Handshake status
UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install kn7a96cj9q65e0bhmzahv790en80ffqm:learn-cog
  1. Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
  2. Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-nitishgargiitd-learn-cog/snapshot"

Documentation

CLAWHUB

17,881 characters of source documentation, loaded on request.

Extracted files

2 files captured from the source.

SKILL.md

---
name: learn-cog
description: "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."
metadata:
  openclaw:
    emoji: "📚"
author: CellCog
dependencies: [cellcog]
---

# Learn Cog - The Tutor That Explains Five Different Ways

**The best tutors explain the same concept five different ways.** CellCog does too.

#1 on DeepResearch Bench (Feb 2026) for reasoning depth — deep enough to break concepts into first principles — combined with multi-modal output for every learning style: diagrams, analogies, worked examples, practice problems, interactive explanations, and full study guides. Any subject, any level.

---

## Prerequisites

This skill requires the `cellcog` skill for SDK setup and API calls.

```bash
clawhub install cellcog
```

**Read the cellcog skill first** for SDK setup. This skill shows you what's possible.

**Quick pattern (v1.0+):**
```python
# Fire-and-forget - returns immediately
result = client.create_chat(
    prompt="[your learning request]",
    notify_session_key="agent:main:main",
    task_label="learning-task",
    chat_mode="agent"  # Agent mode for most learning
)
# Daemon notifies you when complete - do NOT poll
```

---

## How Learn-Cog Helps

### Concept Explanations

Understand anything:

- **Break It Down**: "Explain quantum entanglement like I'm 10 years old"
- **Multiple Angles**: "Explain recursion using 3 different analogies"
- **Deep Dives**: "Give me a comprehensive explanation of how neural networks learn"
- **Visual Learning**: "Create a diagram explaining the water cycle"

**Example prompt:**
> "Explain blockchain technology:
> 
> Level: Complete beginner, no tech background
> 
> Include:
> - Simple analogy to start
> - How transactions work
> - Why it's secure
> - Real-world examples
> - Common misconceptions
> 
> Use simple language, avoid jargon. Include a visual diagram."

### Homework & Problem Solving

Work through problems:

- **Math Problems**: "Solve this calculus problem and explain each step"
- **Science Questions**: "Help me understand this physics concept and solve these problems"
- **Essay Help**: "Help me structure an essay on the causes of World War I"
- **Code Debugging**: "Explain why my code isn't working and help me fix it"

**Example prompt:**
> "Help me understand this math problem:
> 
> Problem: Find the derivative of f(x) = x³sin(x)
> 
> I know basic derivatives but I'm confused about the product rule.
> 
> Please:
> 1. Remind me of the product rule
> 2. Apply it step by step
> 3. Give me 2 similar problems to practice
> 4. Show me how to check my answer"

### Study Materials

Prepare for success:

- **Study Guides**: "Create a study guide for AP Chemistry exam"
- **Flashcards**: "Generate 50 flashcards for Spanish voc

_meta.json

{
  "ownerId": "kn7a96cj9q65e0bhmzahv790en80ffqm",
  "slug": "learn-cog",
  "version": "1.0.2",
  "publishedAt": 1770774214518
}
Github ReposUpdated 5h agoRank 70

AionUi

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

MCPOPENCLAW
Github ReposUpdated 6mo agoRank 70

activepieces

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

OPENCLAW
Github ReposUpdated 6mo agoRank 70

cherry-studio

AI productivity studio with smart chat, autonomous agents, and 300+ assistants.

MCPOPENCLAW
Github ReposUpdated 7mo agoRank 70

CopilotKit

The Frontend for Agents & Generative UI. React + Angular

OPENCLAW

Machine-readable data

The same record, as JSON, for agents and crawlers.

{
  "facts": [
    {
      "factKey": "vendor",
      "category": "vendor",
      "label": "Vendor",
      "value": "Clawhub",
      "href": "https://clawhub.ai/nitishgargiitd/learn-cog",
      "sourceUrl": "https://clawhub.ai/nitishgargiitd/learn-cog",
      "sourceType": "profile",
      "confidence": "medium",
      "observedAt": "2026-04-15T00:45:39.800Z",
      "isPublic": true
    },
    {
      "factKey": "protocols",
      "category": "compatibility",
      "label": "Protocol compatibility",
      "value": "OpenClaw",
      "href": "https://www.xpersona.co/api/v1/agents/clawhub-nitishgargiitd-learn-cog/contract",
      "sourceUrl": "https://www.xpersona.co/api/v1/agents/clawhub-nitishgargiitd-learn-cog/contract",
      "sourceType": "contract",
      "confidence": "medium",
      "observedAt": "2026-04-15T00:45:39.800Z",
      "isPublic": true
    },
    {
      "factKey": "traction",
      "category": "adoption",
      "label": "Adoption signal",
      "value": "2.1K downloads",
      "href": "https://clawhub.ai/nitishgargiitd/learn-cog",
      "sourceUrl": "https://clawhub.ai/nitishgargiitd/learn-cog",
      "sourceType": "profile",
      "confidence": "medium",
      "observedAt": "2026-04-15T00:45:39.800Z",
      "isPublic": true
    },
    {
      "factKey": "latest_release",
      "category": "release",
      "label": "Latest release",
      "value": "1.0.2",
      "href": "https://clawhub.ai/nitishgargiitd/learn-cog",
      "sourceUrl": "https://clawhub.ai/nitishgargiitd/learn-cog",
      "sourceType": "release",
      "confidence": "medium",
      "observedAt": "2026-02-11T01:43:34.518Z",
      "isPublic": true
    },
    {
      "factKey": "handshake_status",
      "category": "security",
      "label": "Handshake status",
      "value": "UNKNOWN",
      "href": "https://www.xpersona.co/api/v1/agents/clawhub-nitishgargiitd-learn-cog/trust",
      "sourceUrl": "https://www.xpersona.co/api/v1/agents/clawhub-nitishgargiitd-learn-cog/trust",
      "sourceType": "trust",
      "confidence": "medium",
      "observedAt": null,
      "isPublic": true
    }
  ],
  "events": [
    {
      "eventType": "release",
      "title": "Release 1.0.2",
      "description": "- 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.",
      "href": "https://clawhub.ai/nitishgargiitd/learn-cog",
      "sourceUrl": "https://clawhub.ai/nitishgargiitd/learn-cog",
      "sourceType": "release",
      "confidence": "medium",
      "observedAt": "2026-02-11T01:43:34.518Z",
      "isPublic": true
    }
  ]
}

Record generated Oct 9, 2026.

Sponsored

Ads related to learn-cog and adjacent AI workflows.