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svg-precision

@dkyazzentwatwa/chatgpt-skills
0
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Deterministic, accurate SVG generation, validation, and preview rendering using bundled Python scripts. Use when asked to create or modify SVGs for icons, diagrams/flowcharts, charts (bar/line/pie), UI mockups/wireframes, or technical drawings (dimensions/scale), especially when structural correctness, viewBox/units, reusable defs, and cross-viewer predictability matter.

Install Skill

1Download skill
2Enable skills in Claude

Open claude.ai/settings/capabilities and find the "Skills" section

3Upload to Claude

Click "Upload skill" and select the downloaded ZIP file

Note: Please verify skill by going through its instructions before using it.

SKILL.md

name svg-precision
description Deterministic SVG generation, validation, and rendering. Use for icons, diagrams, charts, UI mockups, or technical drawings requiring structural correctness and cross-viewer compatibility.

svg-precision

Generate structurally correct SVGs from a strict JSON spec (scene graph), then validate and optionally render a PNG preview.

Fast path

  1. Turn the user request into a Spec JSON (use templates in references/spec.md).
  2. Build the SVG:
    • python scripts/svg_cli.py build spec.json out.svg
  3. Validate:
    • python scripts/svg_cli.py validate out.svg
  4. (Optional) Render a PNG preview (requires CairoSVG):
    • python scripts/svg_cli.py render out.svg out.png --scale 2

Spec design rules (for accuracy)

  • Always set canvas.viewBox and explicit canvas.width/canvas.height.
  • Prefer absolute coordinates; use transforms only when they reduce complexity.
  • Keep numbers sane: no NaN/inf; round to 3-4 decimals.
  • Put reusable items in defs (markers, gradients, clipPaths) and reference by id.
  • For predictable results across viewers, avoid exotic filters unless required.
  • Text varies by fonts/viewers. If you need pixel-identical results, treat text as a risk and prefer shapes.

Using the bundled scripts

CLI

  • python scripts/svg_cli.py build <spec.json> <out.svg>
  • python scripts/svg_cli.py validate <svg>
  • python scripts/svg_cli.py render <svg> <out.png> [--scale N]
  • python scripts/svg_cli.py diff <a.svg> <b.svg> <diff.png> [--scale N] (renders + image-diffs)

As a library (in Python)

from svg_skill import build_svg, validate_svg
svg_text = build_svg(spec_dict)
report = validate_svg(svg_text)

When the request is vague

  1. Identify the kind of SVG: icon / diagram / chart / UI / technical.
  2. Pick a template from references/spec.md and fill in concrete numbers.
  3. If dimensions are unknown, choose defaults that match the domain:
    • icons: 24x24 or 32x32
    • UI mockups: 1440x900 or 390x844 (mobile)
    • charts: 800x450
    • diagrams: 1200x800
    • technical drawings: specify units (mm/in) and scale

References

  • references/spec.md - schema + ready-to-copy templates per SVG type
  • references/recipes.md - layout and styling patterns that render consistently