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Symbolic math in Python: exact algebra, calculus (derivatives, integrals, limits), equation solving, symbolic matrices, ODEs, code gen (lambdify, C/Fortran). Use for exact symbolic results. For numerical use numpy/scipy; for stats use statsmodels.

Install

npx skills add jaechang-hits/SciAgent-Skills --skill sympy-symbolic-math -a claude-code

Installs to .claude/skills/sympy-symbolic-math/ · Each command fetches the skill straight from GitHub with the open skills CLI.

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Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.

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Why 86

Security100
Provenance71
Maintenance100
Licence100
Adoption43

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