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Find people with Exa semantic search — by role, company, and location, LinkedIn-weighted. Use to map a company's team, find experts/decision-makers, locate a specific person, or build people lists. Runs a local script against the Exa API; no MCP server required.
Passed 12 of 17 test cases with the skill, and 4 of 17 without it.
and 10 more in the full report
12 fixed3 passed either way5 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.
Find profile details for the individual 'Jane Smith Anthropic machine learning'. Write the exact command line invocation.
| Checked | Without skill | With skill |
|---|---|---|
| Runs python scripts/people_research.py 'Jane Smith Anthropic machine learning'. | Missed | Passed |
The instructions your model reads when the skill loads.
Find people via Exa's LinkedIn-weighted index — by company + role, role + location, or a named individual. Calls the Exa REST API through a local script; no MCP server needed, only an EXA_API_KEY.
export EXA_API_KEY=your-key # or EXA_API_KEY=... in a .env at the repo root
Get a key at https://dashboard.exa.ai/api-keys. Shared details: exa-native-base.
python scripts/people_research.py "<role + company/location>" [-n N] [--json]
Examples:
python scripts/people_research.py "engineer at OpenAI" -n 10
python scripts/people_research.py "Head of Growth B2B SaaS startup San Francisco" -n 12
python scripts/people_research.py "Jane Smith Anthropic machine learning" -n 5
Defaults to category=linkedin profile. Be specific — vague queries like "researcher founder CEO startup" match many irrelevant profiles. Always include a concrete company, timeframe, role, or location.
For comprehensive coverage, dispatch subagents in parallel and merge. Search by department + seniority in parallel rather than one broad query:
python scripts/people_research.py "category:people engineering at Acme" -n 10
python scripts/people_research.py "category:people product design at Acme" -n 10
python scripts/people_research.py "category:people sales marketing at Acme" -n 10
Supplement LinkedIn with non-LinkedIn sources (use exa-native-base's generic exa.py):
python ../exa-native-base/scripts/exa.py search "Acme team page employees about us" -n 5
python ../exa-native-base/scripts/exa.py search "joined Acme recently hired new role announcement" -n 5
test cases passed, vs 4 / 17 without
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