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brand-assets

Design
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Create and export project logo/banner SVG assets to light/dark PNG variants. Covers the full lifecycle from initial design exploration through SVG creation to themed PNG export. Use when creating logos, banners, or regenerating PNG exports from SVG source files.

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How to use this skill

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  1. Open your project in Codex.
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  3. Review the proposed files and risks before you approve installation.
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Source SKILL.md: https://github.com/kdeldycke/dotfiles/blob/HEAD/dotfiles/.claude/skills/brand-assets/SKILL.md

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Project Logo and Banner Assets

Create, maintain, and export project logo and banner assets as SVGs with light/dark PNG variants.

The Sphinx side of the convention (html_logo, html_favicon, ogp_image paths and the rules around them) lives in .claude/agents/sphinx-docs.md § docs/conf.py hygiene › Theme assets and OpenGraph. When this skill writes a new asset path into docs/conf.py, follow the canonical paths defined there: assets/logo-square.svg, assets/favicon.svg, assets/banner-social-light.png.

Asset variants

Every project produces four SVG variants, each with light and dark PNG exports:

  1. Favicon (favicon.svg): The project icon only, no text, no margins. Tight-cropped to the icon's bounding box. Used as html_favicon in Sphinx and as the browser tab icon. Transparent background. Does not need PNG exports (browsers handle SVG favicons natively).

  2. Square logo (logo-square.svg): The project icon with the project name centered below it. Used as the Sphinx sidebar logo (html_logo). Transparent background. The viewBox is taller than the icon to accommodate the text below.

  3. Banner (logo-banner.svg): Horizontal layout with the icon on the left, project name and tagline to the right. Transparent background. Used in the GitHub readme.

  4. Social banner (banner-{style}.svg): Same layout as the banner but with a decorative opaque background (e.g., marble veins, gradients, wave patterns). Used for OpenGraph/social previews. Opaque background.

Each SVG produces two PNGs: {name}-light.png and {name}-dark.png. The favicon is SVG-only (no PNG exports needed).

Incremental mode

When base SVGs already exist (at least a square logo or banner), skip any interactive menu and proceed directly:

  1. Scan the assets directory for existing SVGs and PNGs.
  2. Compare against the four expected variants and their PNG exports.
  3. Fill every gap: create missing SVGs (favicon from the icon, social banner from the banner), generate missing PNGs, and rename misnamed files to match the naming conventions below.
  4. Wire any new assets into docs/conf.py if not already configured.

Only ask the user a question when the gap analysis is genuinely ambiguous (multiple competing icon sources, unclear which element is the project icon).

Design exploration

When creating assets for a new project with no existing SVGs, start with a broad exploration phase to find a visual direction before refining.

Phase 1: Generate candidates

Prompt pattern:

Create several PNG versions of {base-svg} but with different abstract backgrounds (curvy, bitmap, slopes, splines, gradients, noise, halftone, topographic, marble, waves, geometric, etc). Generate 30 of them, all singularly different, so I can choose a direction. Place them in {assets-dir}.

Use rsvg-convert or a Python script (Pillow) to composite the base SVG over programmatically generated backgrounds. Number each output banner-{nn}-{descriptor}.png (e.g., banner-12-wind-lines.png, banner-27-marble-veins.png).

Phase 2: Pick a direction

The user reviews the candidates and picks one or more to refine. Delete the rest.

Phase 3: Refine to SVG

Recreate the chosen design as a clean, hand-authored SVG:

  • Use CSS classes for all themed colors (no inline style attributes).
  • Keep the SVG source in light-mode only (no @media queries).
  • Trace decorative elements from the raster reference if needed (see "Reverse-engineering raster to SVG" below).

Naming conventions

  • {name}.svg is the canonical source (always renders in light mode).
  • {name}-light.png is the light-theme PNG export.
  • {name}-dark.png is the dark-theme PNG export.

Color themes

SVGs use CSS classes for themed properties (fills, strokes). To export a themed PNG:

  1. Read the SVG and identify all CSS classes and their light-mode values.
  2. Build a replacement <style> block with dark-mode colors swapped in.
  3. Write a temporary SVG with the baked style.
  4. Convert to PNG with rsvg-convert.
  5. Delete the temporary SVG.

Typical light/dark color pairs (Tailwind Slate palette):

RoleLightDark
Frame/ring#334155#94A3B8
Handle out#334155#94A3B8
Handle in#475569#CBD5E1
Title text#1E293B#F1F5F9
Tagline#64748B#CBD5E1
Background#F8FAFC#0F172A
Vein light#e2e8ef#1a2535
Vein dark#c6cfda#253040

Backgrounds

  • Transparent background (default for logo-square and logo-banner): Do not add a <rect> background. The PNG will have alpha transparency, suitable for overlaying on any surface.
  • Opaque background (for social banners): The SVG has a background <rect> with a .bg class. Swap its fill color for the target theme. Both light and dark PNGs get their respective solid background.

Conversion tool

Use rsvg-convert (from librsvg):

$ rsvg-convert -o output.png input.svg

If rsvg-convert is unavailable, fall back to inkscape --export-type=png --export-filename=output.png input.svg.

Export workflow

  1. Discover SVGs. If $ARGUMENTS is a directory, find all .svg files in it. If it's a specific file, use that. Default to docs/assets/.

  2. For each SVG, read it and identify:

    • All CSS classes and their current (light-mode) values.
    • Whether a background <rect> with .bg class exists (opaque) or not (transparent).
  3. Generate light PNG. The SVG already has light-mode styles, so convert directly:

    • If transparent: rsvg-convert -o {name}-light.png {name}.svg
    • If opaque: convert as-is (the .bg rect has the light fill).
  4. Generate dark PNG. Create a temporary SVG with dark-mode colors:

    • Replace the <style> block with dark-mode values.
    • If opaque, the .bg fill is swapped to the dark background color.
    • Convert the temp SVG, then delete it.
  5. Report the generated files and their sizes.

Rules

  • Never modify the source .svg files. Only create temporary copies for baking.
  • Always clean up temporary SVGs after conversion.
  • SVG source files must NOT contain @media (prefers-color-scheme: dark) blocks. Light-mode styles are the only styles in the SVG. Dark mode is handled exclusively through baked PNG exports.
  • The font stack for text elements is: 'Inter', 'Segoe UI', system-ui, -apple-system, 'Helvetica Neue', Arial, sans-serif.
  • When creating new SVGs, use the Tailwind Slate palette for all grays and the same radialGradient for the lens glass.

Sphinx integration

docs/conf.py

Wire the assets into the Furo theme:

html_logo = "assets/logo-square.svg"
html_favicon = "assets/favicon.svg"
html_theme_options = {
    "sidebar_hide_name": True,
    # ...
}
  • html_logo: Points to the square logo (with project name baked in). Combined with "sidebar_hide_name": True to avoid a duplicate auto-generated name below the SVG.
  • html_favicon: Points to the icon-only favicon (no text, tight crop).

Hiding the readme banner in Sphinx

The readme includes a centered banner image (logo-banner.svg) for GitHub. When the readme is included in the Sphinx front page via {include}, the banner is redundant with the sidebar logo. Hide it with custom CSS:

docs/_static/custom.css:

/* Hide the readme banner on the Sphinx front page (logo already in sidebar). */
article p[align="center"]:has(img[alt="Project Name"]) {
    display: none;
}

Wire it in conf.py:

html_static_path = ["_static"]
html_css_files = ["custom.css"]

Replace "Project Name" with the actual alt text of the banner <img> in the readme.

Reverse-engineering raster to SVG

When a design exists only as a raster image (PNG/JPEG) and needs to be reproduced as a clean SVG, use pixel analysis to extract geometry and colors.

General approach

  1. Identify the background color. Sample pixels in a known empty region. This establishes the threshold for separating foreground elements from background.

  2. Scan for foreground features. Using Pillow + NumPy, iterate over the image in slices (vertical columns for horizontal features, horizontal rows for vertical features). At each slice, threshold grayscale values to find pixels that differ from the background.

  3. Cluster pixels into distinct elements. Group adjacent foreground pixels within a slice. A gap larger than 3-5px indicates a separate element. For each cluster, record:

    • Center position (x, y)
    • Thickness (extent of the cluster)
    • Color (sample the middle pixel's RGB)
  4. Trace paths across slices. Match clusters across adjacent slices by proximity to build continuous paths. Each path becomes a series of (x, y) sample points.

  5. Fit SVG paths. Convert the sampled points into SVG cubic bezier curves:

    • Use C (cubic bezier) for the initial segment.
    • Use S (smooth cubic bezier) for continuations. Each S needs 4 coordinates (control point + endpoint); fewer causes the path to terminate early.
    • Extend paths past the viewBox edges (e.g., x=-20 and x=1300 for a 1280-wide image) so lines reach the borders cleanly.
  6. Assign colors. Group paths by sampled RGB values. Create CSS classes for each distinct color and assign them to the corresponding paths.

Practical tips

  • Avoid interference zones. Skip regions occupied by text or logos when scanning. Sample from clear areas (edges, corners) and interpolate through occluded zones.
  • Loosen thresholds iteratively. Start with a tight threshold (e.g., grayscale < 225) to find the most prominent features, then widen (< 234) to catch subtler ones.
  • Validate element counts. Check that the same number of elements appear at multiple x positions. Inconsistencies indicate threshold issues or interference from other content.
  • Check for uniform color. In many designs, decorative elements share one or two colors. Confirm by sampling at multiple positions before creating unnecessary CSS classes.
  • Anti-aliasing. Raster lines have soft edges. Measure thickness from the full cluster extent (including semi-transparent edge pixels), but sample color from the cluster center where the pixel is fully opaque.