AI Skills
firecrawl-parse

firecrawl-parse

热门

|

475Star
0Fork
更新于 6/19/2026
获取 Skill源代码
SKILL.md
readonly只读
name
firecrawl-parse
description

|

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

You Might Also Like

Related Skills

summarize

summarize

380Kresearch-knowledge

Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.

steipete avatarsteipete
获取
writing-skills

writing-skills

233Kresearch-knowledge

Use when creating new skills, editing existing skills, or verifying skills work before deployment

obra avatarobra
获取
doc-coauthoring

doc-coauthoring

153Kresearch-knowledge

Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.

anthropics avataranthropics
获取
claude-api

claude-api

153Kresearch-knowledge

|-

anthropics avataranthropics
获取
mcp-builder

mcp-builder

153Kresearch-knowledge

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

anthropics avataranthropics
获取
xlsx

xlsx

152Kresearch-knowledge

Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like \"the xlsx in my downloads\") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.

anthropics avataranthropics
获取