A professional AI-driven mock interview tool that provides role-specific simulations, grading, and actionable feedback for any profession.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install interview-simulator
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-simulator 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 Simulator is a versatile agent designed to provide high-fidelity mock interview experiences for developers, designers, business leaders, and administrative professionals. As a core component of the Openclaw Skills library, it offers an encouraging yet candid environment where users can practice role-specific technical deep-dives, behavioral questions, and case studies.
This skill adapts dynamically to your experience level—from interns to executives—ensuring the difficulty and context remain relevant to your career stage. By simulating real-world pressure and providing structured feedback, it bridges the gap between preparation and actual performance.
To integrate this capability into your workflow, ensure your agent has access to the Openclaw Skills environment. You can initialize a session by providing your role and level directly.
# Example activation command
openclaw-run "Mock interview for Backend Engineer, senior level, 45 minutes"
The skill organizes interview data into structured modules and evaluates performance against a strict grading rubric:
| Data Component | Description |
|---|---|
| Identity Profile | Stores role, level (Junior to Executive), and specific technical focus. |
| Module Library | Contains scenario banks for Engineering, PM, Sales, HR, etc. |
| Scorecard JSON | Tracks per-module scores, overall score, and specific 'Key Strengths'. |
| Feedback Taxonomy | Categorizes critiques into 'What was done well' and 'Areas for Improvement'. |
hint, harder, or switch [module] mid-session for a flexible experience.Loading
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