skills/43-wentorai-research-plugins/skills/domains/math/SKILL.md
6 mathematics skills. Trigger: mathematical proofs, theorem proving, numerical methods, linear algebra. Design: formal verification tools and computational mathematics guides.
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research math-skillsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Select the skill matching the user's need, then read its SKILL.md.
| Skill | Description | |-------|-------------| | lean-theorem-proving-guide | LLM agent for formal theorem proving in Lean 4 | | linear-algebra-applications | Apply linear algebra concepts to research computing and data analysis | | numerical-methods-guide | Apply numerical methods and scientific computing techniques | | oeis-api | On-Line Encyclopedia of Integer Sequences API | | symbolic-computation-guide | Computer algebra systems: SymPy, SageMath, and Mathematica for research | | topology-data-analysis | Topological data analysis: persistent homology, Mapper, and TDA tools |
tools
Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
tools
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".
tools
Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
tools
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".