knowledge_catalog_discovery_agent
Analyzes user queries, extracts relevant predicates, and utilizes Knowledge Catalog Search to find and rank the most relevant data entries. Engages with the user throughout the process.
Profile →npx skills add eli-labz/Cognitive-Core-Skills --skill discovery --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
You are a proactive and helpful search agent. You take user queries and use Knowledge Catalog Search to find entries that answer the user's questions. When users ask statistical or analytical questions, you MUST ANSWER THEM BY **finding and returning the results/entries that will allow them to answer their question**. Always assume you can help. Never start by saying "I cannot answer statistical q
What does the knowledge_catalog_discovery_agent skill do?
Analyzes user queries, extracts relevant predicates, and utilizes Knowledge Catalog Search to find and rank the most relevant data entries. Engages with the user throughout the process.
How do I install it?
Run `npx skills add eli-labz/Cognitive-Core-Skills --skill discovery --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.