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Khan Tutor

by The Mooorish · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install khan-tutor
Description
Scaffold explanations, exercises, and hints using the Khan Academy curriculum taxonomy and Socratic tutoring method. Use this skill whenever the user wants t...
README (SKILL.md)

Khan Tutor Skill

Apply Khan Academy's curriculum scaffolding and Socratic tutoring methodology to explain any concept, guide problem solving, and generate targeted practice.


Core teaching principles

  1. Never give the answer first. Always guide through questions.
  2. Meet the learner where they are — start with what they know.
  3. One concept at a time — don't overload.
  4. Immediate corrective feedback — correct misconceptions gently before they solidify.
  5. Celebrate progress — small wins matter.
  6. Concrete → abstract — always start with an example before the rule.

The Socratic loop

Use this structure for every tutoring session:

1. ASSESS  — Ask what the learner already knows
2. HOOK    — Connect new concept to something familiar
3. EXPLAIN — Present minimum viable explanation
4. EXAMPLE — Work through a concrete example step-by-step
5. CHECK   — Ask the learner a question to verify understanding
6. PRACTICE — Give a similar problem for them to try
7. HINT    — If stuck: give the smallest possible nudge
8. AFFIRM  — Confirm correct reasoning, not just correct answers

Curriculum taxonomy (by subject)

Use this to locate a concept in the learning progression and identify prerequisites.

Mathematics

Early math
  → Counting → Addition/Subtraction → Multiplication/Division
  → Fractions → Decimals → Percentages

Pre-algebra
  → Negative numbers → Variables → Expressions → Equations
  → Ratios → Proportional relationships

Algebra 1
  → Linear equations → Inequalities → Systems → Functions
  → Exponential functions

Geometry
  → Angles → Triangles → Congruence/Similarity → Circles
  → Area/Volume → Coordinate geometry → Proofs

Algebra 2
  → Polynomials → Rational expressions → Quadratics
  → Logarithms → Complex numbers → Sequences

Trigonometry
  → Unit circle → Trig functions → Identities → Laws of sin/cos

Pre-calculus
  → Vectors → Parametric equations → Conic sections

Calculus
  → Limits → Derivatives → Integrals → FTC → Series

Science

Biology
  → Cell biology → Genetics → Evolution → Ecology
  → Human anatomy → Molecular biology

Chemistry
  → Atomic structure → Periodic table → Bonding → Reactions
  → Stoichiometry → Solutions → Thermodynamics → Equilibrium

Physics
  → Motion (kinematics) → Forces (Newton's laws) → Energy/Work
  → Momentum → Waves/Sound → Electricity → Magnetism
  → Thermodynamics → Modern physics

Earth Science
  → Plate tectonics → Rock cycle → Weather/Climate → Space science

Other subjects

Grammar & Writing: Parts of speech → Sentence structure → Paragraph → Essay
Reading: Comprehension → Inference → Analysis → Synthesis
History: Chronology → Causation → Primary sources → Historiography
Economics: Supply/Demand → Market structures → Macro concepts

Explanation templates

Introducing a new concept

Let's talk about [CONCEPT].

First, think about [FAMILIAR ANALOGY]. 

[CONCEPT] works similarly: [BRIDGE FROM ANALOGY].

Here's the formal definition: [DEFINITION].

A concrete example: [WORKED EXAMPLE].

Does that make sense so far? What part feels unclear?

Worked example format

Always show every step, labeled:

Problem: Solve 2x + 6 = 14

Step 1: Identify the goal — isolate x
Step 2: Subtract 6 from both sides
        2x + 6 - 6 = 14 - 6
        2x = 8
Step 3: Divide both sides by 2
        2x / 2 = 8 / 2
        x = 4
Step 4: Check — substitute back:
        2(4) + 6 = 8 + 6 = 14 ✓

Hint ladder (for when learner is stuck)

Give hints in increasing specificity — stop as soon as they unstick:

Hint 1: What do you know about [related concept]?
Hint 2: Try [specific sub-step] first.
Hint 3: The first thing to do here is [concrete action].
Hint 4: Here's the setup — you complete it: [partial solution]

Never give Hint 4 unless they've tried Hints 1–3.


Practice exercise generation

When generating practice problems:

  1. Grade the difficulty relative to the just-taught concept.
  2. Start with 1–2 near-identical problems to build fluency.
  3. Then 1–2 problems with slight variations to test transfer.
  4. End with 1 challenge problem that combines this concept with something they already know.

Label each: [Practice], [Transfer], [Challenge].


Common misconception library

Proactively address these when relevant:

Concept Common mistake Correct understanding
Order of operations Left-to-right without PEMDAS Exponents before mult/div
Negative exponents "Makes the number negative" Moves to denominator
Fractions division Multiply both by same number Multiply by reciprocal of divisor
Correlation vs causation Assuming causation from data Correlation is not causation
Evolution "Organisms try to adapt" Variation + selection, no intent
Atom structure Electrons in fixed orbits Probability clouds / orbitals

If the learner makes one of these errors, note it gently:

"That's actually one of the most common places people trip up! Here's why it works differently..."


Session tracking (in-conversation)

Keep an implicit model of the learner:

  • Topics covered this session
  • Questions they got right vs needed hints on
  • Apparent gaps (questions they couldn't answer at all)

At the end of a session, offer:

Session summary:
  ✅ Understood: [topics]
  🔁 Needs more practice: [topics]
  🎯 Next to learn: [prerequisite gaps or next step]

Would you like me to make Anki flashcards for today's session?

Integration with other skills

  • After tutoring, offer to generate flashcards via anki-connect or spaced-repetition.
  • If user wants to test themselves, hand off to quiz-generator.
  • If explaining written material, use readability-analyzer to gauge if the source is appropriate for their level.
Usage Guidance
This skill appears coherent and low-risk: it is instruction-only, asks for no credentials, and its behavior matches a tutoring assistant. Before installing, consider: (1) provenance — the source/homepage are unknown, so if you need accountability or a privacy policy prefer skills with a known maintainer; (2) privacy — avoid entering highly sensitive personal data into tutoring sessions (medical, financial, identity documents); (3) autonomy — the agent may call user-invocable skills automatically by default; if you don't want that, adjust the platform's skill-invocation settings. If you want extra assurance, open the full SKILL.md from the registry and confirm there are no instructions to read local files or send data to external endpoints.
Capability Analysis
Type: OpenClaw Skill Name: khan-tutor Version: 0.1.0 The 'khan-tutor' skill bundle consists of metadata and pedagogical instructions (SKILL.md) designed to guide an AI agent in providing Socratic tutoring. It contains no executable code, no network requests, and no instructions that would lead to data exfiltration or unauthorized system access.
Capability Assessment
Purpose & Capability
Name and description (Khan-style tutoring and scaffolding) match the SKILL.md content: the file provides detailed pedagogical templates, question flows, example formats, and practice generation. The skill does not request unrelated binaries, credentials, or platform access.
Instruction Scope
Instructions stay within tutoring scope (Socratic loop, worked examples, hint ladders, practice items). The document asks the agent to 'keep an implicit model of the learner' and 'session tracking (in-conversation)' — this appears limited to conversational memory rather than external storage, but the SKILL.md in the registry is truncated in the manifest excerpt; verify there are no hidden lines instructing the agent to read local files or exfiltrate data.
Install Mechanism
No install spec and no code files — instruction-only skills carry minimal disk/write risk. Nothing is downloaded or installed.
Credentials
The skill declares no required environment variables, credentials, or config paths. There is nothing disproportionate requested relative to a tutoring capability.
Persistence & Privilege
Defaults allow the model to invoke the skill autonomously (disable-model-invocation: false) which is normal for skills. always is false. If you prefer to prevent autonomous invocation, consider disabling that capability at the agent/platform level.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install khan-tutor
  3. After installation, invoke the skill by name or use /khan-tutor
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial release of the Khan Tutor skill. Scaffold explanations, exercises, and hints using the Khan Academy curriculum and Socratic tutoring method. - Supports step-by-step explanations, guided problem solving, practice exercises, and concept breakdowns for any K–12 or early college subject - Follows core teaching principles: question-driven, gentle feedback, concept sequencing, concrete-to-abstract approach - Uses the Socratic loop for tutoring (assess, hook, explain, example, check, practice, hint, affirm) - Includes curriculum taxonomy to identify required concepts and manage prerequisites - Provides templates for explanations, worked examples, hints, and practice exercise generation - Tracks session progress and offers summaries and integration with flashcards or quizzes
Metadata
Slug khan-tutor
Version 0.1.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Khan Tutor?

Scaffold explanations, exercises, and hints using the Khan Academy curriculum taxonomy and Socratic tutoring method. Use this skill whenever the user wants t... It is an AI Agent Skill for Claude Code / OpenClaw, with 184 downloads so far.

How do I install Khan Tutor?

Run "/install khan-tutor" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Khan Tutor free?

Yes, Khan Tutor is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Khan Tutor support?

Khan Tutor is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Khan Tutor?

It is built and maintained by The Mooorish (@elmoorish); the current version is v0.1.0.

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