An AI-powered interview preparation tool that transforms resumes into structured, evidence-based hiring strategies using top-tier methodology.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install interview-designer
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install interview-designer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Interview Designer is a sophisticated skill designed to elevate the hiring process from subjective conversations to rigorous, evidence-based investigations. By utilizing this within Openclaw Skills, recruiters and hiring managers can apply a multi-disciplinary approach that combines Geoff Smart's Topgrading, Lou Adler's performance-based hiring, and Daniel Kahneman's bias control. It shifts the focus from merely glancing at a resume to defining high standards and predicting future performance through simulation.
This skill operates as a dynamic expert panel, ensuring that every interview plan is built on a solid scorecard and a forensic analysis of the candidate's history. It is an essential tool for teams using Openclaw Skills who want to eliminate hiring bias and identify A-players with high precision.
To deploy the Interview Designer as part of your Openclaw Skills library, clone the repository and ensure the template files are in the correct path.
# Install the skill into your local environment
openclaw install interview-designer
# Verify template availability
ls templates/interview_guide_template.md
The skill organizes hiring intelligence into a structured format to ensure consistency across the interview team:
| Data Layer | Elements Included |
|---|---|
| Role Scorecard | Mission statement, 3-5 measurable outcomes, hard/soft competencies |
| Forensic Analysis | Gaps, high points, and heuristic evaluation results |
| Question Bank | Pressure test scripts and future-facing simulation scenarios |
| Evaluation | Red Flags (concerns) and Green Signals (highlights) |
All data is processed using Chain of Thought reasoning to maintain an objective evaluator perspective.
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