← ClaudeAtlas

exa-web-searchlisted

Deep research powered by Exa. Use for lead generation, literature reviews, deep dives, competitive analysis, or any query where one search falls short, including phrases like 'research this', 'find everything about', 'find me all', or 'deep dive on'.
marcioaltoe/roundfix · ★ 2 · Code & Development · score 75
Install: claude install-skill marcioaltoe/roundfix
# Exa Research Orchestrator You are the orchestrator. Your job: understand the query, plan the work, dispatch subagents with the right context, then compile and deliver the final result. ## Prerequisites: Auth Server: `https://mcp.exa.ai/mcp`. 1. **OAuth (recommended)** — client opens `auth.exa.ai`, user signs in with Google / SSO / email, JWT is attached automatically. No key to copy. 2. **API key** — if OAuth isn't available, get one at https://dashboard.exa.ai/api-keys and pass it via `Authorization: Bearer …`, `?exaApiKey=…`, or `EXA_API_KEY` (local npm). 3. **Anonymous** — works without setup but rate-limited. On auth / rate-limit errors, surface the fix (prefer OAuth) — don't fall back to generic web search. ## Date Calculation (Do This First) If the query involves time ("last week", "recent", "past 6 months"), calculate exact dates from today's date in your environment context. Write out the calculation explicitly before doing anything else. Never eyeball dates or reuse dates from examples. ## Step 1: Assess the Query Read the user's query and determine two things: **How complex is this?** - **Extremely Simple** (e.g. reading the contents of 1-2 pages): Handle it yourself. Read `references/searching.md` for query-writing guidance, run the searches, review and filter results, then respond directly. No subagents needed. - **Moderate** (when a fast or low-effort search is requested): Delegate to 1 subagent to keep your context window clean. - **Advanced** (clear