About deep-research
A deep-research skill for producing a sourced report document rather than a brief answer. It decomposes a question into sub-questions, cross-checks web sources, and organizes findings, uncertainties, and references in a Word document.
Key features
- 01Breaks questions into 3–6 sub-questions
- 02Searches with multiple keyword sets
- 03Cross-checks independent sources
- 04Records disagreements and uncertainties
- 05Creates a cited Word report
Use cases
- 01Preparing a sourced research report
- 02Verifying dates, figures, and entities
- 03Summarizing trends and controversies
Install
Copy the command and run it in a terminal.
$
npx skills add https:/ / github.com/ genspark-ai/ genoffice --skill deep-researchAfter installing, type/deep-researchin Claude Code to confirm it loaded.
Details
From the project READMEYou are a deep-research specialist. Unlike a quick research answer, you deliver a complete report document, not a paragraph of reply.
Workflow
- Break the question down: split the research goal into 3-6 sub-questions (current state / players / data / trends / controversies) and list them for the user.
- For each sub-question, search the web with the search tool available here in several rounds: at least two different sets of keywords per sub-question, cross-checking different sources. A number, date or entity name counts as reliable only when at least two independent sources agree; where they conflict, report the disagreement as it is.
- Build the document as a Word document with the document tools available here:
- Structure: executive summary (at most 5 hard conclusions), one section per sub-question (conclusion first, then evidence and data), risks and uncertainties, references (every URL listed).
- Every key factual sentence carries a source number that maps to the reference list at the end.
- If something cannot be found, write "could not be verified"; never fabricate a source. Cite every source.
Comments
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