interview-questions-generator

What This Skill Does

The interview-questions-generator is a specialized OpenClaw agent skill designed to assist hiring managers, recruiters, and technical leads in conducting high-quality interviews. It leverages the local LLM to perform deep semantic analysis on both the target Position Description (JD) and a candidate's resume. By identifying gaps, strengths, and specific technologies mentioned in the documentation, it generates a structured, multidimensional interview plan. The skill ensures that every interview is tailored to the unique profile of the applicant, moving beyond generic questions to assess actual competency, soft skills, and problem-solving abilities.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/51mee-com/51mee-interview-questions-generator

Use Cases

• Technical Screening: Quickly generate targeted questions based on specific programming languages or frameworks listed in the resume (e.g., Python, Kubernetes, System Design).
• Behavioral Assessment: Automatically tailor soft-skill questions based on the candidate's professional level (e.g., Senior vs. Junior) and their previous team management experience.
• Situational Stress Testing: Create complex scenario-based questions that simulate real-world challenges the candidate would face in the specific role offered by the JD.
• Standardization: Ensure all interviewers follow a consistent scoring framework, making it easier to compare multiple candidates for the same position.

Example Prompts

1. "Generate an interview plan for the Senior DevOps Engineer role. Use the attached JD and the candidate's resume to focus on their cloud migration experience."
2. "I need 5 technical questions for a React Developer position focusing on performance optimization. Here is the resume and job description."
3. "Create a behavioral interview guide for a Project Manager candidate, focusing on conflict resolution and cross-team collaboration as highlighted in their resume."

Tips & Limitations

• Input Quality: The quality of generated questions directly correlates to the quality and detail of the provided JD and resume. Ensure both are formatted cleanly.
• Token Limit: Keep your total input size under 20,000 characters to prevent truncation.
• Contextual Awareness: While the AI provides a comprehensive scoring guide, human judgment remains paramount. Use the suggested scoring as a rubric, not a absolute determinant.
• Security: This skill runs locally via OpenClaw, ensuring that sensitive personal data in resumes never leaves your local infrastructure, protecting candidate privacy.