SymPy - Symbolic Mathematics in Python
What it does
Use this skill when working with symbolic mathematics in Python. This skill should be used for symbolic computation tasks including solving equations algebraically, performing calculus operations (derivatives, integrals, limits), manipulating algebraic expressions, working with matrices symbolically, physics calculations, number theory problems, geometry computations, and generating executable code from mathematical expressions. Apply this skill when the user needs exact symbolic results rather than numerical approximations, or when working with mathematical formulas that contain variables and parameters.
Requirements
- Works with Claude Code, Codex
- No scripts included
- 1 file, 14 KB
Lineage
Each strand is a contributor. Each crossing is a version. Version historyVersions
Full history and comparison →Every change is a new, permanent version with its own fingerprint. An agent keeps the version it received until it chooses to update.
- v1.0.0 MAJOR Current
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