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Skill lovstudio/skills/skills/find-logo

Top-level index for the Lovstudio skills ecosystem

Install
npx -y skills add lovstudio/skills --skill find-logo

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What its author says it does

Copied from the file, not written here

Fetch a company/product logo from public sources (Clearbit, og:image, favicon) given a brand name or URL, score candidates (wide-aspect + transparent preferred), and archive the best + runner-ups to the configured logo collection directory. Trigger when the user says "find logo", "找 logo", "抓 logo", "收集 logo", "brand asset", "需要 <brand> 的 logo", or wants logos laid out for a website/PPT/poster.

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

4.9 KB, as published. Nobody here has run it

find-logo — collect brand logos, prefer wide + transparent

Takes a brand name or URL, probes Clearbit + the site's own og:image / <link rel=icon> / favicon, scores each candidate, and archives the best one plus a couple of alternates into the configured collection directory.

When to Use

  • User asks to collect one or more brand logos for a slide/poster/site lineup
  • User names companies to drop into a partners/press strip
  • User gives a URL and wants its logo pulled down cleanly

Workflow (MANDATORY)

Step 1: Identify each brand

Accept any mix of names and URLs. If the user gave only a name with no obvious domain, ask — don't silently guess .com (script will guess, but for non-US or ambiguous brands that fails).

Use AskUserQuestion when:

  • Brand name is ambiguous (e.g. "Apple" = fruit vs. Inc.)
  • No URL and the domain isn't guessable (xAIx.ai, not xai.com)
  • User gave a list without URLs

Step 2: Fetch — one brand per invocation

python3 scripts/find_logo.py --name "Anthropic" --url https://anthropic.com --json

For a batch, loop; the script is idempotent per <slug>/ (re-runs overwrite).

Step 3: Inspect score; fall back to WebSearch if needed

  • Exit code 0 → logo archived. The printed score is your quality signal:
    • ≥ 60 — solid: SVG or transparent PNG with wide/square aspect
    • 20–60 — usable: probably a favicon or small PNG
    • < 20 — weak: only ICO or tiny stub found
  • Exit code 2 / status: "no-candidates" → script found nothing. Do NOT give up. Use WebSearch for "<brand> logo svg site:*.com" or the brand's press-kit page, then re-invoke with --url <direct-image-url> is not supported — if you have a direct image URL, save it into the configured collection directory under <slug>/logo.<ext> and hand-write meta.json using the existing layout as a template.

Step 4: Report

Report back with the archive path and the primary's aspect + format. If the score is weak, tell the user and offer to retry with a specific press-kit URL or Wikipedia SVG.

CLI Reference

ArgumentDefaultDescription
--nameBrand/product name. Used for slug + meta.
--urlOfficial URL or bare domain. Overrides the name-based domain guess.
--slugslugified nameOverride the directory slug under the archive root.
--outLOVSTUDIO_FIND_LOGO_OUTPUT_DIR or ~/.lovstudio/logo-collectionArchive root.
--keep-alts2How many runner-up candidates to keep as alt-N.<ext>.
--jsonoffEmit a JSON result to stdout (use this when chaining).

At least one of --name or --url is required.

Archive Layout

~/.lovstudio/logo-collection/
├── anthropic/
│   ├── logo.png            # primary (highest score)
│   ├── alt-1.png           # runner-ups
│   ├── alt-2.png
│   └── meta.json           # sources, scores, dimensions, fetched_at
├── vercel/
│   ├── logo.png            # 1200x628 transparent banner
│   └── ...
└── stripe/
    ├── logo.svg
    └── ...

Scoring Heuristic (why a candidate wins)

  • Format: SVG (+40) > PNG (+20) > WebP (+10) > JPG (-10) > ICO (-20)
  • Transparency: +30 if alpha channel present (SVG always counts)
  • Aspect ratio: +25 for wide (≥2:1), +10 for landscape (≥1.3:1), -5 for square, -15 for tall/portrait
  • Short edge: +15 if ≥128px, +5 if ≥64px, -20 if <32px
  • Size sanity: -30 if payload <400 bytes (almost certainly a stub)

This matches the "prefer 长条形 + rgba" preference — wide transparent logos come out on top, square favicons land as alternates.

Dependencies

Stdlib only (urllib, html.parser, argparse). No pip install required.

User Configuration

Default archive files live under ~/.lovstudio/logo-collection/. Override this per run with --out, or set LOVSTUDIO_FIND_LOGO_OUTPUT_DIR for the skill.

Known Limits

  • The name → domain guess is a crude lowercase-strip + .com suffix. For anything not on .com, pass --url explicitly.
  • No Clearbit API key is used — we hit the unauthenticated endpoint, which covers most major brands but not all.
  • WebSearch fallback is Claude's responsibility, not the script's.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.