lovstudio:find-logo
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 ~/.lovstudio/logo-collection/<slug>/. Trigger when the user says "find logo", "找
What it does
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 ~/.lovstudio/logo-collection/<slug>/.
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 ~/.claude/skills/lovstudio-find-logo/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,curl -oit into~/.lovstudio/logo-collection/<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/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.
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.
Capabilities
Install
Quality
deterministic score 0.47 from registry signals: · indexed on github topic:agent-skills · 40 github stars · SKILL.md body (4,051 chars)