Sympy
zLanqing/codex-claude-academic-skills/scientific-toolkit-skill/references/scientific-skills/sympyby zLanqing7ed6377f0efb6a38951b48ef03b19d996e454b1fhttps://github.com/sympy/sympy/blob/master/LICENSEListed Oct 9, 2026Updated Oct 9, 2026
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.
- 7ed6377f0efb6a38951b48ef03b19d996e454b1fCurrentcommit 7ed6377Published Oct 9, 2026
Source and attribution
Source:zLanqing/codex-claude-academic-skillsinscientific-toolkit-skill/references/scientific-skills/sympyat commit7ed6377
License: https://github.com/sympy/sympy/blob/master/LICENSE
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