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Chat with and search your complex documents — ask questions, extract tables and fields, and get answers grounded in the source. Connects the hosted Unstructured Transform MCP server to parse, structure, and enrich PDFs, Word/Excel/PowerPoint, images, scanned files, emails, and 60+ other formats into clean, AI-ready text for search, Q&A, and summarization without building a custom parsing pipeline.
Passed 17 of 20 test cases with the skill, and 8 of 20 without it.
and 11 more in the full report
10 fixed9 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
When adding the remote document transformation server from https://mcp.transform.unstructured.io via the add command, under what server identifier is it registered in the CLI list?
| Checked | Without skill | With skill |
|---|---|---|
| identifies unstructured-transform as the registered server name | Missed | Passed |
The instructions your model reads when the skill loads.
You have documents — contracts, reports, slide decks, scanned PDFs, spreadsheets, emails, images — and you want the assistant to reliably get the content out of them and make it usable: searchable, answerable, summarizable, or ready to feed a knowledge base or another tool.
Unstructured Transform does exactly that. Hand it files and it turns them into clean, structured, AI-ready data across 60+ formats with one pipeline — no custom parsing or OCR to build and maintain. See the Transform overview.
Under the hood it:
The result is structured JSON that's ready for search, Q&A, summarization, and agents.
USE THIS SKILL WHEN:
auth step below.Determine which command tool to use for every command in this skill:
host_bash is available → you are on the desktop app. Use host_bash for all commands (the auth step opens your local browser).bash for all commands (the platform handles the browser redirect).test cases passed, vs 8 / 20 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.