Vectorize

Convert raster images to SVG via vtracer. vtracer is a colour-clustering tracer — much better than potrace for full-colour images, comparable for B/W line art. Installed as a Python wheel in the plugin venv (bundled Rust binary, no cargo needed at install time).

When to use

• Recover an editable vector logo from a raster (PNG/JPEG).
• Convert a flat illustration / icon / diagram into SVG for crisp scaling.
• Stylize a photo into a flat-colour vector (large --filter-speckle + low --color-precision).
• Pre-step before svg-to-raster if you want to upscale a small raster losslessly.

Do not use this skill when:

• Source is a complex photograph and you want photo-realism — vector tracing always loses gradients/texture; use upscale-image for raster upscaling instead.
• You need OCR'd text inside the SVG — vtracer traces strokes, not text. Use a separate OCR step.
• Input is already SVG — no-op.

Inputs

1. Input — image file or directory. Required.
2. Output dir — default: <input-dir>/svg/. Never overwrites originals.
3. Mode — color (default, multi-colour with clustering) or binary (B/W line art, faster, smaller output).
4. Color precision — 1..8, default 6. Lower = fewer colours = smaller / more abstract SVG.
5. Layer difference — 0..255, default 16. Larger = fewer layers, simpler output.
6. Filter speckle — pixels, default 4. Discards regions smaller than N pixels — raise to denoise.
7. Path simplification — corner threshold (default 60 deg), length threshold (default 4.0), splice threshold (default 45 deg). Most users won't tune these; expose only if asked.
8. Recursive — --recursive for directory descent.

Procedure

1. Resolve venv: VENV_DIR="${CLAUDE_USER_DATA:-${XDG_DATA_HOME:-$HOME/.local/share}/claude-plugins}/image-production/venv".

2. Verify vtracer is importable:

   "$VENV_DIR/bin/python" -c "import vtracer" 2>&1

   If missing → point at install-deps.

3. Enumerate inputs (*.png, *.jpg, *.jpeg, *.bmp, *.tiff). Skip already-SVG with note.

4. For each file, call vtracer via Python:

   "$VENV_DIR/bin/python" -c "
   import vtracer, sys
   vtracer.convert_image_to_svg_py(
       sys.argv[1],            # input
       sys.argv[2],            # output
       colormode='<color|binary>',
       color_precision=<int>,
       layer_difference=<int>,
       filter_speckle=<int>,
       corner_threshold=<int>,
       length_threshold=<float>,
       splice_threshold=<int>,
       path_precision=8,
   )
   " "<input>" "<output.svg>"

5. Track size deltas and a quick "vector quality" sniff: file size ratio (SVG / PNG), and visually-noticeable degradation flags (very large filter_speckle on a detailed source = likely loss).

Output

• SVG files at <output-dir>/.
• Summary:
  • Files processed / failed.
  • Per-file: input pixels × → SVG path count (heuristic: grep -c '<path' <file>), file size delta.
  • Tuning suggestions if path count is suspiciously high (likely too noisy — raise filter_speckle) or low (likely over-simplified — drop layer_difference).

Notes

• vtracer is MIT — free to bundle and use.
• For B/W technical drawings / scanned line art, binary mode is dramatically faster and produces cleaner output than color.
• Common preset suggestions:
  • Logo / icon (clean source): color, color_precision=6, filter_speckle=4, layer_difference=16. Defaults are tuned for this.
  • Photo → flat illustration: color, color_precision=3, filter_speckle=20, layer_difference=32. Aggressive simplification, painterly look.
  • Line drawing / scan: binary, filter_speckle=10. Smallest output.
• If vtracer's quality isn't enough for a specific case, fall back to Inkscape's bitmap trace or potrace (B/W only). vtracer is the right default for everything else.
• vtracer ships a CLI binary too (vtracer-cli) — the Python wheel is preferred here so the venv is self-contained.