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beveradbbeveradb/claude-code-config/skills/firecrawl-agent/SKILL.md

firecrawl-agent

Skill1 starsChanged 2 months agoNo licenceView on GitHub

AI-powered autonomous data extraction that navigates complex sites and returns structured JSON. Use this skill when the user wants structured data from websites, needs to extract pricing tiers, product listings, directory entries, or any data as JSON with a schema. Triggers on "extract structured data", "get all the products", "pull pricing info", "extract as JSON", or when the user provides a JSON schema for website data. More powerful than simple scraping for multi-page structured extraction.

10 other projects use a version of this, 6 of them edited.

Adopted by

Most recently taken up by

Used with

Projects with it also use firecrawl-parse.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • BBTB2Skill

    firecrawl-parse

    Use this skill whenever the user is working with the Firecrawl API /parse endpoint. Triggers include: uploading local files (PDF, DOCX, XLSX, HTML) to Firecrawl, parsing documents with Firecrawl, extracting markdown or structured JSON from files using Firecrawl, choosing between /parse and /scrape, configuring PDF parsing modes (fast/auto/ocr), setting output formats, enabling zero data retention, or any question about Firecrawl document parsing. Also triggers when the user says 'parse this file with Firecrawl', 'use Firecrawl to extract', or 'Firecrawl /parse'.

    Also in 3 projects that use this

The file

We split this skill into the rules it gives an agent

2 rules. 0 are common, 0 are distinctive, and 2 are very specific to this project.

  • 0

    Common

    Most of the 6 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 6 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

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