A comprehensive AI agent designed to manage the entire hiring lifecycle from initial role intake to final offer acceptance through structured data frameworks.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install afrexai-recruiting-engine
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 afrexai-recruiting-engine 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 AI Recruiting Engine?
The AI Recruiting Engine is a sophisticated workflow integration for Openclaw Skills that transforms the hiring process into a data-driven science. By utilizing structured Role Blueprints, automated sourcing strategies, and standardized scoring rubrics, this skill enables teams to identify and secure top-tier talent without the typical manual overhead. It acts as a full-cycle recruiting partner, ensuring that every candidate is evaluated against objective technical and cultural criteria.
This system is built for scalability, allowing organizations to maintain high hiring standards while accelerating their time-to-fill. Whether you are a solo founder or part of a large engineering organization, these Openclaw Skills provide the tools necessary to build a transparent, efficient, and bias-resistant recruitment pipeline.
AI Recruiting Engine Use Cases
- Creating detailed Role Blueprints to align hiring managers on requirements and success metrics.
- Generating highly personalized candidate outreach templates to improve response rates from passive talent.
- Implementing objective 0-100 resume screening scores to fast-track high-potential applicants.
- Standardizing technical and behavioral interview feedback using structured YAML scorecards.
- Tracking pipeline health and velocity through automated weekly metrics and bottleneck identification.
How AI Recruiting Engine Works
- Define the Role Blueprint including must-haves, business case, and compensation logic to establish a source of truth.
- Deploy a sourcing strategy using optimized Boolean search strings and channel-specific outreach templates.
- Screen incoming resumes against the technical fit and impact evidence rubric to generate a numerical score.
- Conduct interviews following structured STAR method prompts and technical dimension rubrics.
- Manage the candidate pipeline schema to track velocity, decision deadlines, and competitive risks.
- Execute the offer and closing phase using prepared verbal scripts and negotiation response frameworks.
AI Recruiting Engine Setup
To deploy the AI Recruiting Engine within your environment, ensure you are running the latest version of the agent core. This skill is designed for zero-dependency operation.
# Initialize the recruiting skill in your workspace
openclaw install recruiting-engine
# Generate a new role blueprint to start sourcing
openclaw run recruiting-engine --new-role "Staff Engineer"
AI Recruiting Engine Data Schema & Taxonomy
The skill manages recruitment data using a taxonomy of YAML-based schemas and Markdown tables for maximum readability and portability.
| Data Component | Format | Primary Metadata Fields |
|---|---|---|
| Role Blueprint | YAML | Title, Must-haves, Compensation, Timeline |
| Candidate Profile | YAML | Source, Current Title, Scores, Risk Factors |
| Pipeline Metrics | YAML | Funnel stage counts, Velocity, Channel ROI |
| Interview Rubrics | Markdown | Technical depth, System thinking, Collaboration score |
AI Recruiting Engine Advanced Features
- Multi-stage pipeline automation that flags candidates exceeding 5 days of inactivity.
- Diversity and inclusion checklists integrated into every phase of the recruitment funnel.
- Advanced Boolean search string generation for niche technical sourcing across GitHub and LinkedIn.
- Executive hiring workflows including reference check templates and board-level involvement steps.
- Automated channel ROI reporting to determine the most cost-effective sourcing platforms.
SKILL.md
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