Use when the user asks to build a programmatic SVG schematic in Python: flowcharts, boxes and arrows, auto-fit SVG text, mm-precise diagrams, edge-snapped arrows, tangent-correct curve arrowheads, orthogonal or Manhattan routing, deterministic z-order layers, labeled groups, bracket groupings, leader-line annotations, or strict Canvas.save validation for text overflow. Use figure-qa instead for after-the-fact validation of arbitrary hand-authored or exported SVGs. Built on drawsvg, svgpathtools, and fontTools; output SVGs can be composed by scientific-figure.
How to install svg-primitives?
neuromechanist/research-skills/svg-primitives
$npx -y skills add neuromechanist/research-skills --skill svg-primitivesInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/neuromechanist/research-skills" --skill "neuromechanist/research-skills/svg-primitives"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/neuromechanist/research-skills" that are relevant to the current task. Run `npx skills add "https://github.com/neuromechanist/research-skills"` and select the relevant skills, then follow their instructions.
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