Agent skill

kb-search

Allows listing, searching and extracting information from local knowledge base documents for information about tables

ELI Labz1,587★ · 4 repos on radarProfile →
claude-codeMIT
Install
npx skills add eli-labz/Cognitive-Core-Skills --skill kb-search --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 1 KB
Bundled scripts: none
Path: third-party/knowledge-catalog-main/samples/enrichment/sample/config/skills/kb-search/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 212
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

The `fileskb` mcp server provides the following tools to extract relevant information from a directory hierarchy of markdown files: * **list_contents** - browse and navigate the directory tree to list the contents of the specified path. The items may be files or sub-directories. * **read_file** - read the contents of a file in the knowledge base. The entire contents are provided. Extract and summarise the relevant information based on the documentation being generated.. * **search_content** - searches the knowledge base and returns the matching files, along with matching line numbers and line snippets. This can be used to quickly find matches without having to list and read all files.

More from Cognitive-Core-Skills
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About this skill
What does the kb-search skill do?

Allows listing, searching and extracting information from local knowledge base documents for information about tables

How do I install it?

Run `npx skills add eli-labz/Cognitive-Core-Skills --skill kb-search --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From eli-labz/Cognitive-Core-Skills, a repository with 212 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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