lingxling/awesome-skills-cn-claude-scientific-skills-sympy
Use when you need exact symbolic math in Python — algebra, calculus, equation solving, symbolic linear algebra, or code generation via lambdify/LaTeX. Prefer NumPy or SciPy when floating-point approximations are sufficient.
npx skills add https://github.com/lingxling/awesome-skills-cn --skill sympy
Take lingxling/awesome-skills-cn-claude-scientific-skills-sympy from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.
The instructions reference pip, uv.
Without those the skill loads but fails at the first command.