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sympyby K-DenseDevelopmentGitHub stars: 47.3k

SymPy skill: what it does and how to install it

Guides exact symbolic mathematics in Python with SymPy, covering algebra, calculus, equation solving, matrices, physics and executable code generation.

Summary generated from the skill's documentation.

Install

$ npx skills add K-Dense-AI/scientific-agent-skills --skill sympy

Run it in a terminal. If your agent is already running, start a new session so it picks the skill up.

About this skill

What it does. Guides symbolic work in Python with SymPy, from defining symbols and exact arithmetic through simplification, calculus, equation solving, matrices and physics. It also covers numerical conversion with lambdify, LaTeX and code generation, with references for each capability.

When to use it. Use for exact mathematical results, symbolic manipulation, scientific calculations or turning expressions into executable functions. Prefer NumPy or SciPy when floating-point approximations are sufficient.

History

Repo stars

47.3kAbout +18.6k since 9 Jul 2026

Before 1 Oct 2026 the curve is estimated from public event data.

Stars are counted for the whole repository, which holds 50 skills.

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Repo stars by day
DateRepo stars
1 Oct 202647,271
24 Sept 2026 (estimated)46,976
17 Sept 2026 (estimated)46,257
10 Sept 2026 (estimated)41,836
3 Sept 2026 (estimated)30,545
27 Aug 2026 (estimated)29,347
20 Aug 2026 (estimated)29,160
13 Aug 2026 (estimated)29,027
6 Aug 2026 (estimated)28,947
30 Jul 2026 (estimated)28,894
23 Jul 2026 (estimated)28,894
16 Jul 2026 (estimated)28,841
9 Jul 2026 (estimated)28,708

Installs

1.8k

Tracking since . A chart appears once there are 7 days of data.

Installs via skills.sh

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