interview-gen

What This Skill Does

The interview-gen skill by LXGIC Studios is a specialized developer tool designed to bridge the gap between generic interview practices and real-world project requirements. Unlike standard interview banks that rely on abstract concepts, this tool performs an intelligent scan of your local codebase to identify the specific technologies, architectural patterns, and design decisions present in your project. Once analyzed, it generates targeted, highly relevant interview questions that directly measure a candidate's readiness to contribute to your specific stack.

Installation

Installing this skill is streamlined for the OpenClaw ecosystem. You can add it to your agent’s capabilities by executing the following command in your terminal:

clawhub install openclaw/skills/skills/lxgicstudios/interview-prep

Once installed, ensure you have your OPENAI_API_KEY set as an environment variable in your system, as the skill leverages advanced language models to synthesize the codebase data into coherent, challenging interview questions. No permanent global installation is required; the tool is designed to work via npx for immediate, zero-config execution.

Use Cases

This skill is perfect for hiring managers, lead developers, and technical recruiters who need to:

• Standardize technical screening across a distributed team.
• Create high-quality, project-specific interview rounds for new hires.
• Rapidly onboard new interviewers who need guidance on what to look for in a candidate.
• Build a structured question bank that evolves alongside the project's technology stack.

Example Prompts

1. "Use the interview-gen skill to generate 10 senior-level technical interview questions based on my current ./src folder, focusing on our React and Node.js patterns."
2. "Generate a mix of theory and practical coding questions for a junior developer candidate using the codebase in ./src, and output them to a file named 'junior-interview.md'."
3. "Run an interview analysis on the project and give me 5 follow-up discussion points for the architecture decisions found in our folder structure."

Tips & Limitations

To get the best results, ensure your codebase is clean and well-structured before running the scan. The quality of the generated questions is directly proportional to the clarity of your existing code. Remember to specify the seniority level (junior/mid/senior) to ensure the difficulty matches your expectations. Note that this tool requires an active internet connection to communicate with the OpenAI API and read your local code to generate insights. Always review the output before sharing it with candidates to ensure it aligns with your company's specific culture and unique project constraints.