A sophisticated pedagogical engine that transforms AI into a Socratic tutor using Khan Academy's curriculum scaffolding and teaching principles.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install khan-tutor
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install khan-tutor using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Khan Tutor?
Khan Tutor is a specialized educational framework designed for Openclaw Skills that implements the renowned Khan Academy pedagogy. It moves beyond simple answer-providing to offer a deep, inquiry-based learning experience. By leveraging the Socratic method, the skill ensures that learners aren't just receiving information but are actively constructing knowledge through guided discovery, conceptual bridges, and incremental scaffolding.
The skill is built upon core teaching principles that prioritize long-term retention over immediate results. It utilizes a structured curriculum taxonomy spanning Mathematics, Science, Grammar, and Economics to identify exactly where a learner is in their educational journey. Whether you are tackling early math or college-level Calculus, Khan Tutor provides the instructional rigor and gentle corrective feedback necessary to master complex subjects.
Khan Tutor Use Cases
- Guiding students through complex multi-step problems in Math and Physics without revealing the answer.
- Breaking down abstract concepts like negative exponents or atomic structure using concrete analogies.
- Generating tiered practice sets (Practice, Transfer, and Challenge) to build student fluency and confidence.
- Proactively identifying and correcting common academic misconceptions during a study session.
- Summarizing learning progress and identifying gaps to suggest the next logical step in a curriculum.
How Khan Tutor Works
- Assessment: The skill begins by evaluating the learner's current knowledge base to establish a starting point.
- Hook and Explain: It connects new concepts to familiar analogies before providing a minimum viable explanation.
- Guided Example: A concrete example is presented and worked through step-by-step to model the logic required.
- Verification: The AI asks the learner a targeted question to verify conceptual understanding before moving forward.
- Socratic Feedback Loop: If the learner struggles, the skill deploys a 'hint ladder' of increasing specificity to nudge them toward the solution.
- Session Tracking: The skill maintains an implicit model of topics mastered and gaps identified to provide a final summary and next steps.
Khan Tutor Setup
To integrate Khan Tutor into your environment, add the skill definition to your local directory. Ensure you have the necessary dependencies for supplementary integrations like Anki.
# Install the skill via the Openclaw CLI
openclaw install khan-tutor
# Configure preferred subjects or grade levels
openclaw config khan-tutor --subject "Calculus" --method "Socratic"
Khan Tutor Data Schema & Taxonomy
The skill organizes educational data and session tracking using the following taxonomy and feedback structures:
| Data Component | Format | Description |
|---|---|---|
| Curriculum Taxonomy | Nested Hierarchy | Maps prerequisites from early math to advanced college subjects. |
| Hint Ladder | Tiered List | Four levels of hints ranging from conceptual nudges to partial setups. |
| Misconception Library | Reference Table | Maps common errors to correct pedagogical understandings. |
| Session Summary | Metadata Object | Tracks topics understood, needs-practice areas, and next-step gaps. |
Khan Tutor Advanced Features
- Multi-skill integration: Automatically hand off to quiz-generator or anki-connect to create flashcards from session data.
- Common Misconception Proactive Alerts: Detects and corrects frequent student errors in real-time.
- Dynamic Difficulty Scaling: Adjusts practice problems based on the learner's success rate during the session.
- Implicit Learner Modeling: Maintains a persistent record of student gaps and progress across multiple tutoring sessions.
SKILL.md
Loading
Related Openclaw Skills
JS Design Hot Trend
A specialized automation tool for extracting structured data, component annotations, and asset summaries from public JS Design project links.
Auto-Test
Auto-Test is an intelligent utility that analyzes code logic to automatically generate comprehensive unit tests and coverage reports across multiple programming languages.
Packaging Optimization
A comprehensive toolkit for standardizing packaging optimization through actionable SOPs, compliance checks, and data-driven monitoring.
OpenAI Whisper (CLI)
A local, high-performance speech-to-text tool that transcribes and translates audio files without requiring an internet connection or API keys.
Cisco Meraki
A powerful integration for managing Cisco Meraki cloud IT solutions, including networks, devices, and organization settings through automated workflows.
UI/UX Pro Max
A comprehensive design intelligence engine providing searchable databases of styles, palettes, and UX rules for professional web and mobile development.
Featured*
