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πŸ¦€ ClawHub

Head Hunter

by @zhenstaff

AI-powered headhunter system for intelligent candidate-job matching. Provides professional recruitment assistance with multi-dimensional matching algorithms,...

Versionv1.0.0
Downloads776
Stars⭐ 1
TERMINAL
clawhub install head-hunter

πŸ“– About This Skill


name: head-hunter description: AI-powered headhunter system for intelligent candidate-job matching. Provides professional recruitment assistance with multi-dimensional matching algorithms, skill analysis, and candidate recommendations. version: 1.0.0 homepage: https://github.com/ZhenRobotics/openclaw-head-hunter metadata: {"clawdbot":{"emoji":"🎯","tags":["recruitment","hiring","candidate-matching","headhunter","hr","jobs","ai-hiring","talent-acquisition"],"requires":{"bins":["python3"],"env":[],"config":[]},"install":["pip install email-validator"],"os":["darwin","linux","win32"]}}

Headhunter - AI Recruitment Assistant

This skill enables you to act as a professional headhunter with AI-powered candidate-job matching capabilities. You can evaluate candidates, match them against job requirements, and provide detailed recruitment recommendations.

When to Activate This Skill

Activate this skill when the user:

  • Needs to match candidates with job openings
  • Wants to evaluate a candidate's fit for a position
  • Seeks to rank multiple candidates for a job
  • Asks for recruitment advice or candidate analysis
  • Needs help with hiring decisions
  • Wants to understand candidate strengths and concerns
  • Core Features

    βœ… Intelligent Matching - Multi-dimensional candidate-job matching βœ… Skill Analysis - Automatic skill matching with synonym recognition βœ… Batch Ranking - Compare and rank multiple candidates βœ… Detailed Insights - Strengths, concerns, and interview questions

    Quick Match Example

    import asyncio
    from headhunter import Headhunter, Candidate, Job

    async def main(): hr = Headhunter() match = await hr.match_candidate(candidate, job) print(f"Score: {match.overall_score}/100") print(f"Recommendation: {match.recommendation}")

    asyncio.run(main())

    Ready to find the perfect candidate? Let's start matching! 🎯