exa-search
AI-powered web search via Exa with content extraction. Use when user says "exa search", "web search with content", "find similar pages", or needs broad web results beyond academic databases (arXiv, Semantic Scholar).
npx skills add majiayu000/claude-skill-registry --skill exa-search-wanshuiyin-auto-claude-code-res --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 AI-Powered Web Search Search query: $ARGUMENTS ## Role & Positioning Exa is the **broad web search** source with built-in content extraction: | Skill | Best for | |------|----------| | `/arxiv` | Direct preprint search and PDF download | | `/semantic-scholar` | Published venue papers (IEEE, ACM, Springer), citation counts | | `/deepxiv` | Layered reading: search, brief, section map, section reads | | `/exa-search` | Broad web search: blogs, docs, news, companies, research papers — with content extraction | Use Exa when you need results beyond academic databases, or when you want content (highlights, full text, summaries) extracted alongside search results. ## Constants - **EXA_FETCHER** — canonical name `exa_search.py`, resolved per [`shared-references/integration-contract.md`](../shared-references/integration-contract.md) §2 (Policy D1 — standalone `/exa-search` has no documented fallback, so unresolved helper terminates with an explicit error). - **MAX_RESULTS = 10** — Default number of results to return. > Overrides (append to arguments): > - `/exa-search "RAG pipelines" — max: 5` — top 5 results > - `/exa-search "diffusion models" — category: research paper` — research pa
- Role & Positioning
- Constants
- Setup
- Workflow
- Step 1: Parse Arguments
- Step 2: Locate Script
- Step 3: Execute Search
- Step 4: Present Results
- Step 5: Offer Follow-up
- Step 6: Update Research Wiki (if active, research-paper results only)
- Key Rules
pip install exa-py
export EXA_API_KEY=your-key-here
cd "$(git rev-parse --show-toplevel 2>/dev/null || pwd)" || exit 1
if [ -z "${ARIS_REPO:-}" ] && [ -f .aris/installed-skills.txt ]; then
fi
echo "ERROR: exa_search.py not resolved at .aris/tools/, tools/, or \$ARIS_REPO/tools/." >&2
echo " Fix: rerun bash tools/install_aris.sh, export ARIS_REPO, or copy the helper to tools/." >&2
echo " Also ensure 'exa-py' is installed: pip install exa-py" >&2
exit 1
python3 "$EXA_FETCHER" search "QUERY" --max 10 --content highlightsWhat does the exa-search skill do?
AI-powered web search via Exa with content extraction. Use when user says "exa search", "web search with content", "find similar pages", or needs broad web results beyond academic databases (arXiv, Semantic Scholar).
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill exa-search-wanshuiyin-auto-claude-code-res --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.