Developer Builds AI Interview Platform Powered by SKILL File Architecture

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A developer has created Skillviewer, an AI-powered interview platform inspired by Wellfound's voice-based AI interviewer, aiming to improve on existing tools. The system uses a SKILL file — a structured technical document that packages procedural knowledge and user-specific context — which is loaded at startup to configure an AI interview agent. SKILL files operate through three stages: Discovery, Activation, and Execution, allowing the agent to load relevant context only when needed. The developer chose this approach over alternatives like Retrieval-Augmented Generation (RAG) to first validate a working prototype, while leaving room to redesign the system later. The project is currently in early development, with the core architecture focused on making AI interview methodologies portable, reusable, and reliably guided by domain-specific instructions.

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