An adaptive AI skill designed to solve, teach, and explore mathematics across all levels of expertise.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install math
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 math 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 Math?
The Math skill is a versatile tool within the Openclaw Skills ecosystem, designed to adapt its depth and rigor based on the user context. Whether you are teaching a child basic arithmetic, guiding a student through calculus, or collaborating with an expert on advanced proofs, this skill adjusts its vocabulary and complexity accordingly. It prioritizes pedagogical integrity, favoring guidance over simple answers for students, while offering publication-ready LaTeX and peer-level discourse for professionals.
By integrating this skill into your environment, you gain a math-aware collaborator that not only computes results but also verifies logic, detects common misconceptions, and provides instructional support. It is a robust addition to the Openclaw Skills library for anyone looking to bridge the gap between abstract concepts and actionable solutions.
Math Use Cases
- Personalized tutoring for children using concrete examples and encouraging feedback.
- Scaffolded problem-solving for students to improve conceptual understanding rather than just getting answers.
- Generating professional-grade LaTeX documentation and peer-reviewing conjectures for mathematics experts.
- Creating difficulty-graduated problem sets and instructional materials for teachers and educators.
- Identifying and correcting common mathematical misconceptions in real-time during the coding or research process.
How Math Works
- Analyzes user input to detect the mathematical level based on vocabulary, complexity, and previous attempts.
- Adapts the interaction style, choosing between encouraging, guiding, or technical discourse modes based on the identified user profile.
- Processes mathematical queries using rigorous verification steps, including arithmetic double-checks and sanity checks for physical impossibilities.
- Detects potential user errors, such as sign errors or formula misapplication, and provides constructive feedback.
- Formats output using LaTeX for technical precision or visual aids like number lines and emojis for beginners.
Math Setup
To enable the Math skill within your Openclaw Skills environment, ensure your agent is configured to recognize the math manifest. You can initialize the skill by including it in your local configuration:
# Example of adding the skill to your agent setup
openclaw add-skill math
The skill is cross-platform and compatible with Linux, Darwin (macOS), and Win32 systems, requiring no external heavy-weight dependencies for standard operations.
Math Data Schema & Taxonomy
The Math skill organizes its processing logic and output formatting based on user profiles and mathematical domains to ensure accuracy within the Openclaw Skills framework.
| Attribute | Description |
|---|---|
| Context Level | Automatically detected as Child, Student, Expert, or Teacher |
| Output Format | Utilizes Plain text, LaTeX, or Markdown visualizers |
| Validation | Arithmetic double-checking and sanity checks (e.g., probability <= 1) |
| Taxonomy | Categorizes problems by domain: Arithmetic, Algebra, Calculus, Proofs, etc. |
Math Advanced Features
- Dynamic level adaptation that scales rigor in real-time based on user feedback and response quality.
- Multi-modal explanation strategies including visual, algebraic, and story-based narratives to suit different learning styles.
- Proactive identification of common pitfalls, such as the freshman's dream or division by zero.
- Publication-ready LaTeX generation for complex formulas and peer-level collaboration on conjectures.
- Instructional scaffolding that provides hints and structural guidance instead of immediate solutions when in student mode.
SKILL.md
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