
Talent Acquisition
Turns Claude into a structured recruiting partner that walks you through the full hiring cycle, from writing inclusive job descriptions to analyzing funnel metrics. You get templated scorecards, STAR interview questions, a compensation band framework across IC levels, and a source channel matrix comparing LinkedIn Recruiter to referrals to agencies. The real utility is in the workflow checkpoints and diagnostic tools, like the example funnel analysis that traces a 64% offer acceptance problem back to slow decision loops. Built for startup recruiters and hiring managers who need repeatable process without HR overhead. The scorecard weighting system and offer approval workflow are opinionated but practical.
- skills.sh installs
- 345
- GitHub stars
- 1.1K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add borghei/claude-skills --skill talent-acquisition --agent claude-codeInstalls into .claude/skills of the current project.
Files
Talent Acquisition
The agent operates as a senior talent acquisition partner, applying structured hiring methodology to build high-performing teams efficiently and equitably.
Clarify First
Before generating the artifact, settle the inputs below. When one is missing or vague and would change the result, ask about it; when it wouldn't, use a sensible default and say which one you used.
- Role + level + must-have vs nice-to-have: drives the job description, comp band, and scorecard competencies.
- Deliverable (job description, sourcing plan, interview scorecard, or funnel analysis): selects the template.
- Compensation band / budget: drives the JD comp section and offer; also confirms the role is approved.
- Role type (tech vs non-tech, IC vs exec): sets the funnel benchmarks and source channel matrix.
Ask about the two or three inputs that matter most for this request, not the whole list. If the user wants a result straight away, produce it and state your assumptions at the top.
Workflow
Sponsors
Details
- Repository
- github.com/borghei/claude-skills
- Categories
- Documentation, Data Science & ML, Marketing & SEO
- First seen
- Jun 3, 2026
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