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find-people

Find people or companies that match criteria with Data Legion search.

Skill by datalegion-ai

IndexedMIT
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/datalegion-ai-find-people

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Find people or companies that match criteria with Data Legion search. Use when the user wants a prospect or target list, for example "engineers at fintech companies in Austin" or "software companies with more than 200 employees".

Use cases: data, sales

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/find-people

What's inside

Skill name
find-people
Description
Find people or companies that match criteria with Data Legion search. Use when the user wants a prospect or target list, for example "engineers at fintech companies in Austin" or "software companies with more than 200 employees".
License
MIT
Instructions
10 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

To build a list with search:

1. Turn the request into a SQL WHERE clause over the `people` table (`person_search`) or the `companies` table (`company_search`). Start the query with `SELECT * FROM people WHERE ...` or `SELECT * FROM companies WHERE ...`.
2. Useful people columns: `job_title`, `company_name`, `city`, `state`, `country`, `linkedin_url`, and the cross-table columns `title`, `organization_name`, `skills`, `headline` and `summary`. Useful company columns: `industry` (lowercase LinkedIn industry values, for example `'software development'`) and `legion_employee_count`.
3. Match text loosely with `ILIKE '%term%'`, and combine conditions with `AND` / `OR`.
4. Don't put LIMIT or OFFSET in the SQL. Use the `limit` and `offset` parameters: start with `limit: 10` to check the results look right, then page with `offset`.
5. Trim results with `include_fields` so a page of results stays readable.
6. Show results as a table and say how to get the next page. If a promising person is missing contact details, offer to run `person_enrich` on them.

From datalegion-ai/datalegion-plugin, MIT.

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Last commit (this folder)
Oct 1, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

find-people skill. Agent Mart. https://agentmart.dev/skills/datalegion-ai-find-people (last updated 2026-10-24)