math-skills
6 mathematics skills. Trigger: mathematical proofs, theorem proving, numerical methods, linear algebra. Design: formal verification tools and computational mathematics guides.
Best use case
math-skills is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
6 mathematics skills. Trigger: mathematical proofs, theorem proving, numerical methods, linear algebra. Design: formal verification tools and computational mathematics guides.
Teams using math-skills should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/math/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How math-skills Compares
| Feature / Agent | math-skills | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
6 mathematics skills. Trigger: mathematical proofs, theorem proving, numerical methods, linear algebra. Design: formal verification tools and computational mathematics guides.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Mathematics — 6 Skills Select the skill matching the user's need, then `read` its SKILL.md. | Skill | Description | |-------|-------------| | [lean-theorem-proving-guide](./lean-theorem-proving-guide/SKILL.md) | LLM agent for formal theorem proving in Lean 4 | | [linear-algebra-applications](./linear-algebra-applications/SKILL.md) | Apply linear algebra concepts to research computing and data analysis | | [numerical-methods-guide](./numerical-methods-guide/SKILL.md) | Apply numerical methods and scientific computing techniques | | [oeis-api](./oeis-api/SKILL.md) | On-Line Encyclopedia of Integer Sequences API | | [symbolic-computation-guide](./symbolic-computation-guide/SKILL.md) | Computer algebra systems: SymPy, SageMath, and Mathematica for research | | [topology-data-analysis](./topology-data-analysis/SKILL.md) | Topological data analysis: persistent homology, Mapper, and TDA tools |
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