paintlisted

# Code-drawn watercolor You paint by writing a short Python function against `paintkit.Canvas`, an OpenCV watercolor toolkit bundled with this skill. Geometry is seeded, so you can look at the output, fix the two worst things, and re-render the same painting with only your edit changed. **Read `reference.md` in this skill directory once before your first scene.** It documents every primitive. `examples/full_scene.py` is a worked 18-element scene that uses every primitive; skim it for patterns before starting. Do not paste either into the conversation. ## Workflow Run each step with `bash_tool`. This skill is mounted read-only at `/mnt/skills/examples/paint`; write outputs to your working directory. 1. **Write the scene** to a file in your working directory: ```bash cat > scene.py <<'EOF' from paintkit import Canvas, hex_rgb def paint(cv: Canvas): cv.paper_texture(0.05) cv.wash(0, int(cv.h * 0.55), hex_rgb("#a7c4d8"), hex_rgb("#e8d7b8"), alpha=0.8, mottling=0.4) # ... more primitives, back to front EOF ``` 2. **Render a quick preview:** ```bash python /mnt/skills/examples/paint/render.py scene.py -o preview.png --scale 0.5 --seed 1 ``` 3. **Look at it.** Call the `view` tool on `preview.png`. `bash_tool` returns only stdout, so without this step you never see what you drew. 4. **Critique and revise.** Name the two things that read worst (a colour that fights the light, a shape that sits in the wron