Find logo
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npx -y skills add lovstudio/skills --skill find-logoAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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 (
xAI→x.ai, notxai.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 printedscoreis your quality signal:≥ 60— solid: SVG or transparent PNG with wide/square aspect20–60— 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. UseWebSearchfor"<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-writemeta.jsonusing 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
| Argument | Default | Description |
|---|---|---|
--name | — | Brand/product name. Used for slug + meta. |
--url | — | Official URL or bare domain. Overrides the name-based domain guess. |
--slug | slugified name | Override the directory slug under the archive root. |
--out | LOVSTUDIO_FIND_LOGO_OUTPUT_DIR or ~/.lovstudio/logo-collection | Archive root. |
--keep-alts | 2 | How many runner-up candidates to keep as alt-N.<ext>. |
--json | off | Emit 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:
+30if alpha channel present (SVG always counts) - Aspect ratio:
+25for wide (≥2:1),+10for landscape (≥1.3:1),-5for square,-15for tall/portrait - Short edge:
+15if ≥128px,+5if ≥64px,-20if <32px - Size sanity:
-30if 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 +
.comsuffix. For anything not on.com, pass--urlexplicitly. - No Clearbit API key is used — we hit the unauthenticated endpoint, which covers most major brands but not all.
WebSearchfallback is Claude's responsibility, not the script's.