Extract LaTeX/TeX and Markdown math equations and render them as PNG images.
npx skills add https://github.com/juntao/math-images-skill --skill math-equation-images
Please help me install this Agent Skill. Skill: math-equation-images Source: https://github.com/juntao/math-images-skill/tree/main Command: npx skills add https://github.com/juntao/math-images-skill --skill math-equation-images
Extracting and rendering LaTeX/TeX or Markdown math into images is slow and often breaks formatting, especially when you need results ready for chat, slides, or web posts.
Tell your agent: generate PNG images for every LaTeX and Markdown math equation in the attached document, using the light theme if I ask for light mode.
High-intent search queries and answers about installing and using this skill.
To convert LaTeX equations to PNG images, this tool extracts inline and display math from .tex or .md files and renders each equation as a sequentially numbered PNG. It outputs images ready for messaging, slides, or documentation embedding.
Yes, you can render Markdown math equations as images using the default pure-Rust backend, which requires no external LaTeX distribution. For complex LaTeX, an optional Tectonic-based backend provides higher fidelity rendering.
Equation extraction does skip math inside fenced code blocks and inline code. It identifies inline and display math in LaTeX/TeX and Markdown documents, rendering only the actual equations as PNG snapshots.
The best way to generate dark theme math equation snapshots is using this tool's default rendering mode. It applies consistent math typography with a dark theme by default, or switches to a light theme upon request.
To extract every math equation and save them as separate image files, the tool processes your .tex or .md file and outputs sequentially numbered PNGs like equation_0001.png. It returns all rendered images in document order.
A limitation when rendering complex LaTeX expressions is that the default pure-Rust renderer may lack full fidelity. You should switch to the optional Tectonic-based backend for higher fidelity rendering of complex LaTeX.
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