How do I install the Exa People Research skill?

Run npx skillmds@latest add codealive-ai/exa-people-research-2 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Exa People Research safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Exa People Research?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Exa People Research free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under MIT.

Who published Exa People Research?

CodeAlive-AI (@codealive-ai) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Exa People Research by codealive-ai

Name: Exa People Research
Author: CodeAlive-AI

Exa People Research

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.

CodeAlive-AI Updated Sep 22, 2026

File contents

People Research (Exa)

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.

Setup (once)

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.

Run it

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.

Token isolation (for team maps / lists)

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

Deduplicate by LinkedIn URL (canonical), or by name + current company as a fallback.

Override categories with `-c`

linkedin profile (default) · personal site (their own writing) · news (press mentions). For outbound prospect lists that start from companies, use exa-lead-generation.

After you get results

Results are similarity, not validation — confirm role/company from the snippet before reporting.
Deep-read a profile or bio page: python ../exa-native-base/scripts/exa.py contents <url> --text.
Deliver a table: name · current role · company · location · LinkedIn URL.

---name: exa-people-research-2description: 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.license: MIT---# People Research (Exa)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`.## Setup (once)```bashexport 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`](../exa-native-base/SKILL.md).## Run it```bashpython scripts/people_research.py "<role + company/location>" [-n N] [--json]```Examples:```bashpython scripts/people_research.py "engineer at OpenAI" -n 10python scripts/people_research.py "Head of Growth B2B SaaS startup San Francisco" -n 12python 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.## Token isolation (for team maps / lists)For comprehensive coverage, dispatch subagents in parallel and merge. Search by **department + seniority** in parallel rather than one broad query:```bashpython scripts/people_research.py "category:people engineering at Acme" -n 10python scripts/people_research.py "category:people product design at Acme" -n 10python 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`):```bashpython ../exa-native-base/scripts/exa.py search "Acme team page employees about us" -n 5python ../exa-native-base/scripts/exa.py search "joined Acme recently hired new role announcement" -n 5```**Deduplicate** by LinkedIn URL (canonical), or by name + current company as a fallback.## Override categories with `-c``linkedin profile` (default) · `personal site` (their own writing) · `news` (press mentions). For outbound prospect lists that start from companies, use `exa-lead-generation`.## After you get results- Results are *similarity, not validation* — confirm role/company from the snippet before reporting.- Deep-read a profile or bio page: `python ../exa-native-base/scripts/exa.py contents <url> --text`.- Deliver a table: name · current role · company · location · LinkedIn URL.

Frequently asked questions