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SymPy Symbolic Math Assistant

Guides Claude to do exact symbolic math in Python with SymPy — algebra, calculus, solvers, matrices — and export results as code or LaTeX.

Dev & CodingIntermediate★ 33,030⑂ 3,248AI score 9/10Last updated: Aug 9, 2026

What it does

  • Directs Claude to use SymPy for exact symbolic computation instead of floating-point approximation: equation solving (solve, solveset, linsolve, nonlinsolve, dsolve), derivatives, integrals, limits, series, symbolic linear algebra, number theory, geometry and physics.
  • Encodes practical rules: declare symbols first, use assumptions like positive=True, keep arithmetic exact with Rational/S, and switch to lambdify for fast NumPy evaluation.
  • Includes integration snippets for NumPy, SciPy and Matplotlib, code generation (Python/C/Fortran), LaTeX/pretty printing, and a troubleshooting list of five common failures.
  • Deep-dive material lives in modular reference files (core capabilities, matrices, physics/mechanics, advanced topics, code generation) loaded on demand.

Who it's for

  • Researchers and students who need verifiable symbolic results and LaTeX-ready formulas.
  • Scientific/engineering developers deriving expressions symbolically before compiling them into numeric functions.
  • Anyone who needs closed-form answers rather than rounded numbers.

Examples

  1. "Solve x² − 5x + 6 = 0 and verify each root" → solve then simplify(expr.subs(...)) == 0.
  2. "Differentiate sin(x)/x and plot it over [-10, 10]" → symbolic diff → lambdify(..., 'numpy') → Matplotlib.
  3. "Evaluate ∫₀^∞ x·e^(−x²) dx and give me the LaTeX" → integrate plus latex() output.

· · · Install guide · · ·

Try it now, no install

Paste this into Claude to use the skill without installing anything.

Read the instructions in this file and follow them to help me:
https://raw.githubusercontent.com/K-Dense-AI/scientific-agent-skills/HEAD/skills/sympy/SKILL.md

What I want: (describe your task here)

If Claude can't open the link, open it yourself and paste the contents instead.

↓ If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.

Install in the Claude app (no terminal)
  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
↓ Download ZIP
Install in Claude Code

Let Claude do it — paste this into Claude Code

Install the skill I found on Claude Skill Mart.
Copy the skills/sympy folder from the GitHub repo K-Dense-AI/scientific-agent-skills into my ~/.claude/skills/sympy/.
When it's done, tell me in one line what this skill can do.

Install with a command instead

git clone https://github.com/K-Dense-AI/scientific-agent-skills.git && mkdir -p ~/.claude/skills && cp -r scientific-agent-skills/skills/sympy ~/.claude/skills/

⚠ This is a third-party skill. Check the source repository before installing.

  1. Open a terminal and confirm Python 3.9+ with python --version.
  2. Install the library: pip install "sympy>=1.14" (optionally pip install numpy scipy matplotlib for the lambdify/plotting examples).
  3. Clone the skill repo: git clone https://github.com/K-Dense-AI/scientific-agent-skills.git
  4. Copy the skill into place: mkdir -p ~/.claude/skills && cp -r scientific-agent-skills/skills/sympy ~/.claude/skills/
  5. Verify that ~/.claude/skills/sympy contains both SKILL.md and the references/ folder — the detailed guides won't load without it.
  6. Restart Claude Code and try a prompt such as "Use SymPy to solve this ODE symbolically".
View source on GitHub ↗License: MIT