compsci-math
Comprehensive computational mathematics toolkit for Claude Code agents. Provides tools for five core domains from MIT's Mathematics for Computer Science curriculum - Proofs (propositions, predicates, induction, verification), Structures (number theory, graphs, RSA, partial orders), Counting (asymptotics, combinatorics, generating functions), Probability (distributions, Bayes, random walks, bounds), and Recurrences (divide-and-conquer, Master theorem, Akra-Bazzi). Use when solving algorithm analysis, proving correctness, computing probabilities, analyzing complexity, or working with discrete mathematical structures. Implemented in Python with TypeScript tool definitions for Claude Code integration.
Installation
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
View source ↗GuidesSkill instructions
Features and purpose
Comprehensive computational mathematics toolkit for Claude Code agents. Provides tools for five core domains from MIT's Mathematics for Computer Science curriculum - Proofs (propositions, predicates, induction, verification), Structures (number theory, graphs, RSA, partial orders), Counting (asymptotics, combinatorics, generating functions), Probability (distributions, Bayes, random walks, bounds), and Recurrences (divide-and-conquer, Master theorem, Akra-Bazzi). Use when solving algorithm analysis, proving correctness, computing probabilities, analyzing complexity, or working with discrete mathematical structures. Implemented in Python with TypeScript tool definitions for Claude Code integration.
Quick start
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
Guides ↗Examples
Read the usage examples in the source repository.
View source ↗Source history
- Indexed on
- 2026-01-20
- Index updated
- 2026-01-26
- Branch
- main
Index and sync dates describe this directory. View the source repository for code history.
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