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Khan Tutor

作者 The Mooorish · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install khan-tutor
功能描述
Scaffold explanations, exercises, and hints using the Khan Academy curriculum taxonomy and Socratic tutoring method. Use this skill whenever the user wants t...
使用说明 (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.
安全使用建议
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.
功能分析
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.
能力评估
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.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install khan-tutor
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /khan-tutor 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
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
元数据
Slug khan-tutor
版本 0.1.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Khan Tutor 是什么?

Scaffold explanations, exercises, and hints using the Khan Academy curriculum taxonomy and Socratic tutoring method. Use this skill whenever the user wants t... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 184 次。

如何安装 Khan Tutor?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install khan-tutor」即可一键安装,无需额外配置。

Khan Tutor 是免费的吗?

是的,Khan Tutor 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Khan Tutor 支持哪些平台?

Khan Tutor 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Khan Tutor?

由 The Mooorish(@elmoorish)开发并维护,当前版本 v0.1.0。

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