Recruit
Use when the user wants candidates for a role; they paste a LinkedIn job post (or a job...
Install
npx skills add superdesigndev/treg --skill recruit -g -a claude-code -y- Repository
- superdesigndev/treg7k
- Category
- Engineering
- Updated
- 3d ago
- License
- See repository
- Context cost
- Mediumabout 2,166 tokens
- Runs scripts
- No, instructions only
What it does
Use when the user wants candidates for a role; they paste a LinkedIn job post (or a job description) and want the people who fit it, ranked, with a reason for each and a personal email and phone to reach them. Also for "source candidates", "find people for this job", "build a shortlist", or turning a job post into a contactable candidate list.
Recruit
A job post in, a ranked shortlist out: people who fit, one line on why, and a way to reach them. Every stage is counted and every contact lookup leaves a vendor trail, written to a run file.
Runs on treg, through its MCP tools or the treg CLI; either is enough. Over MCP, each command
below maps onto a tool: treg catalog search is catalog_search, treg catalog get is
catalog_get, treg call is call. With neither, treg is not set up: https://treg.to/llms.txt says how.
Install only if the human asked you to; otherwise tell them how and stop.
The run
-
Read the job.
treg catalog search "linkedin job details", then call the best row with the post URL. No post URL: use the text the user pasted. -
Extract criteria from the post, yourself: title variants (the title as posted plus two to four names the same job goes by), must-have skills, seniority, locations (and whether remote is fine), and the hiring company, which is always excluded. Show the criteria to the user in five lines before spending; adjust if they object.
-
Search with the routed people search, one call per title variant (and per location when there are several):
treg call treg.people.search --data '{"title":"Staff Backend Engineer","location":"Berlin, Germany","country":"DE","keywords":["go","kafka"],"limit":25}'
