Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
Retrieves documents from a knowledge base by progressively narrowing scope: first scanning all file paths, then reading content to confirm relevance, and returning up to 10 matched files. Works with wiki task files and user-uploaded documents including Feishu files.
Reads document content before finalizing results rather than filtering on file names alone, reducing false positives in large knowledge bases.
When to use it
- Finding internal docs on a specific product feature
- Locating onboarding guides across a large company wiki
- Pulling Feishu-uploaded files related to a project
- Answering questions by surfacing the most relevant knowledge base entries
- Searching across mixed file sources for a specific topic
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Find all documents about the API authentication flow
- 1Call get_wiki_file_paths to retrieve all file paths in the knowledge base
- 2Select files with names loosely related to API, authentication, or auth
- 3Read the content of each candidate file to confirm relevance
- 4Filter down to the most relevant matches, capped at 10
- 5Submit the final file list via submit_result with attached files
A set of up to 10 confirmed documents covering the API authentication flow