name	kb-research
description	Structured approach to finding and synthesizing information from the user's knowledge base
allowed-tools	scrape_webpage, read_file, ls_tree, grep, web_search

Knowledge-base research

The user asks "find/look up/research" something specifically inside their knowledge base.
The user references documents, notes, repos, or connector data they expect to exist already.
A multi-document synthesis is required (e.g., "summarize what we've discussed about X across all my notes").

Decompose the user's question into 2-4 specific, citation-worthy sub-questions.
For each sub-question, run one targeted KB search (focused on terms the user would have written, not synonyms). Open the most relevant 2-3 documents fully via read_file if their excerpts are too short.
Use grep to find supporting passages in long files instead of re-reading them end to end.
Cite every claim with the [n] label shown on the passage you used (search results and read_file output both carry them); never write a chunk id, URL, or title yourself.

Short paragraphs with inline citations.
Quoted phrases when wording matters.
An explicit "Not found in your knowledge base" callout when a sub-question has no support — never fabricate.

name	kb-research
description	Structured approach to finding and synthesizing information from the user's knowledge base
allowed-tools	scrape_webpage, read_file, ls_tree, grep, web_search

The user asks "find/look up/research" something specifically inside their knowledge base.
The user references documents, notes, repos, or connector data they expect to exist already.
A multi-document synthesis is required (e.g., "summarize what we've discussed about X across all my notes").

Decompose the user's question into 2-4 specific, citation-worthy sub-questions.
For each sub-question, run one targeted KB search (focused on terms the user would have written, not synonyms). Open the most relevant 2-3 documents fully via read_file if their excerpts are too short.
Use grep to find supporting passages in long files instead of re-reading them end to end.
Cite every claim with the [n] label shown on the passage you used (search results and read_file output both carry them); never write a chunk id, URL, or title yourself.

Short paragraphs with inline citations.
Quoted phrases when wording matters.
An explicit "Not found in your knowledge base" callout when a sub-question has no support — never fabricate.

kb-research