npx skills add majiayu000/claude-skill-registry --skill exa-semantic-research --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.
## Exa Semantic Research When using Exa for semantic or conceptual search: - Use **exa_search** (or the actual Exa tool name as provided) for conceptual and semantic queries rather than simple keyword match. - Cite sources (URLs, titles) for each claim or finding; Exa returns relevant links and snippets. - Combine with **search_web** when both are available for broader coverage (keyword + semantic). - Prefer clear, concept-based queries (e.g. "approaches to X", "comparisons of Y and Z") to get the best semantic results. - If results are thin or off-topic, rephrase the query to be more specific or try a different angle. ## Step-by-step instructions 1. Turn the user's question into a conceptual or semantic query (what concept or relationship they care about). 2. Call **exa_search** with that query; use any filters or options the tool supports (e.g. date, type) when relevant. 3. Read the returned results (snippets, URLs, titles) and select the most relevant for the answer. 4. Summarize findings and cite each point with the source URL or title. 5. If the user asked for a comparison or list, structure the answer (bullets or numbered) and cite per item. 6. When both **exa_search** and **
- Exa Semantic Research
- Step-by-step instructions
- Examples of inputs and outputs
- Common edge cases
- Tool usage for specific purposes
What does the Exa Semantic Research skill do?
Conceptual and semantic web search; cite sources
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill exa-semantic-research --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 majiayu000/claude-skill-registry, a repository with 534 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.