Agent-Skills.md

Agent Skills: firecrawl parse

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UncategorizedID: AmmarCodes/dotfiles/firecrawl-parse

Repository

AmmarCodes/dotfiles
AmmarCodesLicense: MIT
18

Install this agent skill to your local

pnpm dlx add-skill https://github.com/AmmarCodes/dotfiles/tree/HEAD/skills/firecrawl-parse

Skill Files

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skills/firecrawl-parse/SKILL.md

Skill Metadata

Name
firecrawl-parse
Description
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firecrawl parse

Turn a local document into clean markdown on disk. Supports PDF, DOCX, DOC, ODT, RTF, XLSX, XLS, HTML/HTM/XHTML.

When to use

  • You have a file on disk (not a URL) and want its text as markdown
  • User drops a PDF/DOCX and asks what it says, or to summarize it
  • Use scrape instead when the source is a URL

Quick start

Always save to .firecrawl/ with -o — parsed docs can be hundreds of KB and blow up context if streamed to stdout. Add .firecrawl/ to .gitignore.

mkdir -p .firecrawl

# File → markdown
firecrawl parse ./paper.pdf -o .firecrawl/paper.md

# AI summary
firecrawl parse ./paper.pdf -S -o .firecrawl/paper-summary.md

# Ask a question about the doc
firecrawl parse ./paper.pdf -Q "What are the main conclusions?" \
  -o .firecrawl/paper-qa.md

Then head, grep, rg etc., or incrementally read the file - don't load the whole thing at once.

Options

| Option | Description | | ---------------------- | --------------------------------------- | | -S, --summary | AI-generated summary | | -Q, --query <prompt> | Ask a question about the parsed content | | -o, --output <path> | Output file path — always use this | | -f, --format <fmt> | markdown (default), html, summary | | --timeout <ms> | Timeout for the parse job | | --timing | Show request duration |

Tips

  • Quote paths with spaces: firecrawl parse "./My Doc.pdf" -o .firecrawl/mydoc.md.
  • Max upload size: 50 MB per file.
  • Credits: ~1 per PDF page; HTML is 1 flat.
  • Check .firecrawl/ before re-parsing the same file.
  • To check your credit balance (recommended for batch processing and similar workflows), use the firecrawl credit-usage command.

See also