Team Linkedin Profiles
Maps the full team or department at a target company using LinkedIn profile data.
npx goose-skills installDescription
Maps the full team or department at a target company using LinkedIn profile data. Resolves company identity via Brand.dev, runs parallel searches across Exa and Hunter, deduplicates and verifies employer match, and optionally deep-enriches specific profiles via Fiber live-fetch.
What this skill does
- 1Resolves the target company via Brand.dev to disambiguate common names before searching.
- 2Runs Exa people search scoped to LinkedIn to find team members by department and title, returning structured profiles.
- 3Supplements with Hunter domain search to surface senior contacts and emails that Exa may miss.
- 4Deduplicates results, verifies current employer match, and flags uncertain profiles for manual review.
- 5Optionally deep-enriches specific profiles via Fiber live-fetch for full work history and skills.
When to use
- You want to map the full fraud, engineering, or sales team at a target account before outreach.
- You need LinkedIn profiles for a specific department to identify who to contact and who to cc.
- You're doing account mapping and want to find everyone in a function without LinkedIn Sales Navigator.
Tools used
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Frequently asked questions
What is Team Linkedin Profiles?
Team Linkedin Profiles is a Claude Code skill for sourcing by GooseWorks AI. Maps the full team or department at a target company using LinkedIn profile data.
When should I use Team Linkedin Profiles?
You want to map the full fraud, engineering, or sales team at a target account before outreach. You need LinkedIn profiles for a specific department to identify who to contact and who to cc.
How do I install Team Linkedin Profiles?
Run the install command (npx goose-skills install). Once the skill is in place, Claude Code loads it automatically whenever a task matches what it does.
Is Team Linkedin Profiles free to use?
The author distributes it as MIT, but the repository has no LICENSE file. The source is public on GitHub (gooseworks-ai/goose-skills).