ai-search-gaps-to-soci…
Find the AI-search prompts and topics where a brand is invisible (or losing to competitors) in SE Ranking, then turn those gaps into a social campaign in…
Ad-hoc web scraping, site mapping, and full-site crawling via Firecrawl MCP. Returns raw HTML, parsed metadata (og:*, twitter:*, JSON-LD, canonical, robots), JS-rendered DOM, and screenshots that WebFetch cannot. Distinct from the SE Ranking skills (which give
$ npx -y skills add seranking/seo-skills --skill seo-firecrawl --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/seo-firecrawlContext preview
The summary Claude sees to decide when to auto-load this skill.
Ad-hoc web scraping, site mapping, and full-site crawling via Firecrawl MCP. Returns raw HTML, parsed metadata (og:*, twitter:*, JSON-LD, canonical, robots), JS-rendered DOM, and screenshots that WebFetch cannot. Distinct from the SE Ranking skills (which give
name: seo-firecrawl description: Ad-hoc web scraping, site mapping, and full-site crawling via Firecrawl MCP. Returns raw HTML, parsed metadata (og:*, twitter:*, JSON-LD, canonical, robots), JS-rendered DOM, and screenshots that WebFetch cannot. Distinct from the SE Ranking skills (which give keyword/traffic/SERP data) and from WebFetch (which gives markdown prose only). Use when the user says "scrape this page", "crawl this site", "map this site", "find all pages on", "get the OG tags", "get the JSON-LD", "render this JS-heavy page", or any task where raw HTML head metadata, structured-data scripts, or post-JS DOM are the actual deliverable. Also invoked as a sub-step from other skills that need raw HTML.
> Example output: [examples/seo-firecrawl-stripe-com-20260514/scrape/FIRECRAWL.md](../../examples/seo-firecrawl-stripe-com-20260514/scrape/FIRECRAWL.md)
A direct interface to Firecrawl MCP for tasks that fall outside the data-driven SE Ranking skills. Use when:
1. **Preflight.** Confirm `firecrawl-mcp` is connected. If not, surface the install command and stop. 2. **Mode selection.** Resolve user intent into one of:
3. **Cost estimation + confirmation.**
4. **Execute.** Call the matching `mcp__firecrawl-mcp__firecrawl_*` tool.
5. **Parse + structure output.** Don't dump the raw API response. Per-mode:
6. **Synthesise** `FIRECRAWL.md` at the root: target, mode, credits used, key findings (5 bullets max), open loops, recommended next skill.
Folder `seo-firecrawl-{slug}-{YYYYMMDD}/`:
seo-firecrawl-{slug}-{YYYYMMDD}/
├── RAW.md (markdown body)
├── META.md (og / twitter / canonical / robots / headers + parsed JSON-LD)
├── links.csv (every <a href> on the page)
├── screenshot.png (optional; only if requested)
└── FIRECRAWL.md (synthesis + handoff payload)seo-firecrawl-{slug}-{YYYYMMDD}/
├── URLS.md (pattern-grouped URL list)
├── urls.csv (every URL with discovery depth, if available)
└── FIRECRAWL.mdseo-firecrawl-{slug}-{YYYYMMDD}/
├── INDEX.md (every page + status code + key signals)
├── pages/
│ ├── {slug-1}/RAW.md
│ ├── {slug-1}/META.md
│ ├── {slug-2}/RAW.md
│ └── ...
└── FIRECRAWL.mdseo-firecrawl-{slug}-{YYYYMMDD}/
├── MATCHES.md (hit excerpts + URLs ranked by relevance)
└── FIRECRAWL.md`FIRECRAWL.md` follows this shape:
# Firecrawl: {target}
> Run dated {YYYY-MM-DD} · Mode: {scrape | map | crawl | search} · Credits used: {n}
## Summary
{One-paragraph what-came-back. Example: "Scraped https://example.com/article. og:title and og:image present, JSON-LD Article schema with author + datePublished. 12 outbound links. Page is server-rendered (no JS-render divergence). Robots: index,follow."}
## Key findings
1. {Finding anchored in concrete data}
2. ...
5. ...
## Open loops
- {What this run did NOT answer}
- ...
## Recommended next step
{One of: `seo-Production-ready Claude Agent Skills for SEO, powered by the SE Ranking remote MCP.
Repo: seranking/seo-skills
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