svg-precision

安装量: 123
排名: #6969

安装

npx skills add https://github.com/dkyazzentwatwa/chatgpt-skills --skill svg-precision

svg-precision

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

Fast path Turn the user request into a Spec JSON (use templates in references/spec.md). Build the SVG: python scripts/svg_cli.py build spec.json out.svg Validate: python scripts/svg_cli.py validate out.svg (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 python scripts/svg_cli.py validate python scripts/svg_cli.py render [--scale N] python scripts/svg_cli.py diff [--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 Identify the kind of SVG: icon / diagram / chart / UI / technical. Pick a template from references/spec.md and fill in concrete numbers. 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

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