From firecrawl
Parses local files (PDF, DOCX, XLSX, HTML, etc.) into clean markdown on disk. Offers AI summaries and Q&A over document content.
How this skill is triggered — by the user, by Claude, or both
Slash command
/firecrawl:firecrawl-parseThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Turn a local document into clean markdown on disk. Supports **PDF, DOCX, DOC, ODT, RTF, XLSX, XLS, HTML/HTM/XHTML**.
Turn a local document into clean markdown on disk. Supports PDF, DOCX, DOC, ODT, RTF, XLSX, XLS, HTML/HTM/XHTML.
scrape instead when the source is a URLAlways 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.
| 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 |
firecrawl parse "./My Doc.pdf" -o .firecrawl/mydoc.md..firecrawl/ before re-parsing the same file.firecrawl credit-usage command.npx claudepluginhub firecrawl/firecrawl-claude-plugin --plugin firecrawlParses local files (PDF, DOCX, XLSX, HTML, etc.) into clean markdown on disk. Offers AI summaries and Q&A over document content.
Parses PDF, Office, and image files into structured Markdown using the MinerU API. Supports OCR, formula/table recognition, batch processing, and multi-format export (DOCX/HTML/LaTeX).
Converts heavy document formats (PDF, Word, Excel, PowerPoint, and others) to token-efficient Markdown/CSV with structurally-aware digest compression. Use when Claude needs to read documents without excessive context budget.