Coding

Tutoring

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Get tutoring that breaks any concept into multiple angles — diagrams, analogies, worked examples, practice problems, and full study guides.

What it does

A learning workflow built on the CellCog SDK that explains concepts from first principles across STEM (math through advanced calculus, physics, chemistry, biology, CS, statistics, engineering), humanities (history, literature, philosophy, languages, psychology), professional topics (business, finance, marketing, design, legal), and tech skills (programming languages, AWS/GCP/Azure, DevOps, data engineering, AI/ML). Adapts to stated level and supports visual, examples-based, analogy, step-by-step, big-picture, and hands-on learning styles. Outputs include study guides, flashcards, practice tests, cheat sheets, essay structure help, and code walkthroughs. Use chat_mode "agent" for homework he…

When to use it

  • Working through a math or physics problem step by step
  • Building a study guide and practice tests for an exam (AP Chemistry, GRE, AWS)
  • Learning a programming language or framework with runnable code examples
  • Practicing a foreign language with dialogues, grammar breakdowns, and writing feedback

The skill document

Tutoring & Education - The Tutor That Explains Five Different Ways

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

#1 on DeepResearch Bench (Apr 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.

How to Use

For your first CellCog task in a session, read the cellcog skill for the full SDK reference — file handling, chat modes, timeouts, and more.

OpenClaw (fire-and-forget):

result = client.create_chat(
    prompt="[your task prompt]",
    notify_session_key="agent:main:main",
    task_label="my-task",
    chat_mode="agent",
)

All agents except OpenClaw (blocks until done):

from cellcog import CellCogClient
client = CellCogClient(agent_provider="openclaw|cursor|claude-code|codex|...")
result = client.create_chat(
    prompt="[your task prompt]",
    task_label="my-task",
    chat_mode="agent",
)
print(result["message"])

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 vocabulary"
  • Practice Tests: "Create a practice quiz on US History 1900-1950"
  • Summary Notes: "Summarize Chapter 5 of my biology textbook"
  • Cheat Sheets: "Create a one-page reference for Python syntax"

Example prompt:

"Create a comprehensive study guide for the AWS Solutions Architect exam:

Cover:

  • Key services and when to use them
  • Networking concepts
  • Security best practices
  • Cost optimization strategies

Format: Clear sections, bullet points, diagrams where helpful Include: Practice questions after each section"

Coding & Tech Learning

Level up your skills:

  • Language Learning: "Teach me Python from zero to building a web app"
  • Code Review: "Review my code and explain how to improve it"
  • Project Tutorials: "Walk me through building a REST API step by step"
  • Concept Deep Dives: "Explain how Docker containers actually work"

Example prompt:

"Teach me React hooks:

My level: I know basic JavaScript and HTML/CSS, never used React

Structure:

  1. What problem do hooks solve?
  2. useState with simple examples
  3. useEffect with practical use cases
  4. When to use which hook
  5. A mini-project putting it together

Include code examples I can run."

Language Learning

Master new languages:

  • Grammar Explanations: "Explain Japanese particles with examples"
  • Conversation Practice: "Practice ordering food in French"
  • Writing Feedback: "Check my Spanish essay and explain my mistakes"
  • Vocabulary Building: "Teach me 20 essential business Chinese phrases"

Learning Styles

Tell CellCog how you learn best:

StyleAsk For
VisualDiagrams, charts, infographics
ExamplesMultiple worked examples, real-world applications
AnalogiesComparisons to familiar concepts
Step-by-StepDetailed breakdowns, numbered procedures
Big PictureOverview first, then details
Hands-OnPractice problems, projects

Subjects

CellCog can help with virtually any subject:

STEM:

  • Mathematics (all levels through advanced calculus and beyond)
  • Physics, Chemistry, Biology
  • Computer Science and Programming
  • Statistics and Data Science
  • Engineering concepts

Humanities:

  • History and Social Studies
  • Literature and Writing
  • Philosophy
  • Languages
  • Psychology

Professional:

  • Business and Finance
  • Marketing
  • Project Management
  • Design
  • Legal concepts

Tech Skills:

  • Programming languages
  • Cloud platforms (AWS, GCP, Azure)
  • DevOps and infrastructure
  • Data engineering
  • AI/ML concepts

Chat Mode for Learning

ScenarioRecommended Mode
Homework help, concept explanations, practice problems"agent"
Comprehensive study guides, full curriculum design, deep research"agent team"

Use "agent" for most learning. Quick explanations, homework help, and study materials execute well in agent mode.

Use "agent team" for comprehensive learning - full course outlines, research papers, or when you need multi-source synthesis.


Example Prompts

Concept explanation:

"Explain the concept of recursion in programming:

My level: Beginner programmer, comfortable with loops

I need:

  • Clear definition
  • Visual representation
  • 3 progressively harder examples (factorial, fibonacci, tree traversal)
  • Common mistakes to avoid
  • When to use recursion vs iteration

Language: Python"

Exam prep:

"Create a study plan for the GRE:

Timeline: 2 months Goal: 320+ score Weak areas: Vocabulary and geometry

Include:

  • Weekly schedule
  • Resources to use
  • Practice test strategy
  • Day-before checklist

Make it realistic for someone working full-time."

Language practice:

"Help me practice Japanese:

Level: JLPT N4 Focus: Conversational situations

Create a dialogue practice:

  • Scenario: Asking for directions in Tokyo
  • Include vocabulary list
  • Grammar points used
  • Cultural notes
  • Variations to practice

Use romaji and kanji with hiragana readings."


Tips for Better Learning

  1. State your level: "Complete beginner" vs "I understand the basics" changes everything.

  2. Ask why: Don't just ask for answers. Ask for explanations of the reasoning.

  3. Request practice: Learning happens through doing. Ask for practice problems.

  4. Admit confusion: "I don't understand the part where..." helps CellCog target explanations.

  5. Build on previous: Reference what you already understand to get appropriate explanations.

  6. Active recall: Ask CellCog to quiz you, not just explain. Testing improves retention.


If CellCog is not installed

Claude Code, Cursor, Codex + 70 more agents: npx skills add cellcog/skills --skill cellcog OpenClaw: clawhub install cellcog CellCog plugin users: run /cellcog-setup (or /cellcog:cellcog-setup depending on your tool) Manual setup: pip install -U cellcog and set CELLCOG_API_KEY. See the cellcog skill for SDK reference.

Questions people ask

What do I need to install to use this?
The skill runs through the CellCog client. For Claude Code, Cursor, Codex and 70+ other agents use npx skills add cellcog/skills --skill cellcog; for OpenClaw use clawhub install cellcog; otherwise pip install -U cellcog with a CELLCOG_API_KEY.
Which chat mode should I pick for learning tasks?
Use chat_mode "agent" for homework help, concept explanations, and practice problems. Use chat_mode "agent team" for comprehensive study guides, full curriculum design, and deep research that needs multi-source synthesis.
Can it tailor explanations to my level and learning style?
Yes. Stating your level (e.g., "complete beginner" vs "I know the basics") changes how it explains, and you can request visual diagrams, analogies, worked examples, step-by-step breakdowns, big-picture overviews, or hands-on practice problems.

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