interview-prep

A mock interview for a RAG project evaluates your ability to navigate project overviews, resume deep-dives, and technical deep-dives. This skill uses RNG-based topic selection to ensure diverse dialogue paths across each session.

Yes, generating a reproducible interview report with scoring logs is supported. The skill enforces phase-structured QA capture during the interview and automatically produces a detailed report with logs, reference answers, and scoring upon completion.

The mock interview enforces strict nondisclosure of model answers until report generation. This ensures the evaluation remains unbiased throughout the phase-driven interview flow and debrief process.

Evaluating technical reasoning for a Modular RAG MCP Server is best achieved through a structured three-direction interview framework. This approach assesses project overview, resume, and technical deep-dive knowledge with randomized prompts.

Interview questions are randomized across different mock interview sessions. The skill uses DICE-based rules to randomize prompts and select topics, ensuring diverse question paths every time you run an evaluation.