A professional AI recruitment assistant designed for multi-dimensional candidate-job matching and detailed talent analysis.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install head-hunter
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install head-hunter using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Headhunter?
Headhunter is a sophisticated AI-powered system built to streamline the talent acquisition process. By utilizing multi-dimensional matching algorithms, this tool evaluates candidate profiles against job requirements with high precision, providing actionable insights that go beyond simple keyword matching. As a key component of the Openclaw Skills ecosystem, it enables developers and HR professionals to automate the heavy lifting of candidate screening and comparison.
The skill excels at identifying skill synonyms and recognizing nuances in professional experience, ensuring that recruiters don't miss qualified talent due to terminology differences. It synthesizes complex data into clear recommendations, helping teams make faster, more informed hiring decisions through automated scoring and qualitative analysis.
Headhunter Use Cases
- Matching specific candidate profiles against detailed job descriptions.
- Evaluating the technical and professional fit of an applicant for a specific role.
- Ranking and comparing multiple candidates for a single position during batch processing.
- Generating data-driven recruitment advice and candidate-specific interview questions.
- Identifying potential concerns or gaps in a candidate's profile relative to a job's needs.
How Headhunter Works
- The system ingests structured candidate data and job descriptions via the Candidate and Job objects.
- The AI engine performs a multi-dimensional analysis, mapping candidate skills and experience to job requirements.
- Skill analysis algorithms identify synonyms and related competencies to ensure comprehensive coverage.
- The skill generates a detailed match report including an overall score, specific strengths, and hiring recommendations.
Headhunter Setup
To use this within your Openclaw Skills environment, ensure you have Python 3.x installed. You will also need to install the required validation dependencies:
pip install email-validator
Once dependencies are installed, you can import the Headhunter module into your automation scripts to begin matching candidates.
Headhunter Data Schema & Taxonomy
The Headhunter skill organizes recruitment data into structured entities for reliable processing:
| Entity | Data Type | Description |
|---|---|---|
| Candidate | Object | Includes profile details, skill sets, and contact validation. |
| Job | Object | Defines the requirements, responsibilities, and key performance indicators. |
| Match | Result | Contains the overall_score, recommendation text, and qualitative insights. |
| Insights | Metadata | A breakdown of strengths, concerns, and suggested interview questions. |
Headhunter Advanced Features
- Intelligent Skill Synonym Recognition: Automatically connects related technologies and methodologies.
- Batch Ranking System: Allows for the simultaneous evaluation of a candidate pool for competitive ranking.
- Automated Interview Generation: Produces tailored questions based on identified candidate-job gaps.
- Multi-dimensional Scoring: Goes beyond keywords to evaluate the depth and relevance of professional experience.
SKILL.md
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