10 boosters for "interview" — open source, verified from GitHub, ready to install
Transcribe audio and video files to text with optional speaker identification and diarization. Useful for developers building transcription features, interview processing tools, or meeting documentation systems.
"name": "adversarial-spec", "description": "Iteratively refine product specs through multi-model debate until consensus. Claude actively participates alongside GPT, Gemini, Grok, and other models. Includes interview mode, early agreement verification, and optional Telegram integration.", "repository
A structured skill for creating Book Requirements Documents that guides users through systematic interviews and genre-specific considerations for fiction and nonfiction projects. Useful for authors, publishers, and AI writing assistants planning book projects.
"description": "AI-assisted spec crafting through research, interviews, and multi-LLM review. Like Geppetto carved Pinocchio from wood, transform rough ideas into living implementation plans.", "name": "Leonardo Flores", "url": "https://github.com/leonardocouy"
"name": "open-academic-paper-machine", "description": "Open Academic Paper Machine — Autonomous academic paper production system with idea evaluation gate and paper-vs-code audit. NEW in v6.4: /audit-paper command and audit-engine skill — static audit of a paper's empirical claims (datasets, models,
An MCP server that enables realistic interview roleplay scenarios powered by AI, helping job seekers practice interviews and prepare for technical or behavioral assessments.
Cursor Rules for the Afterlife Flutter project that establish architecture patterns, file organization, naming conventions, and AI service integration standards to guide consistent development of AI-powered digital twin applications.
This booster provides three AI interview agents (easy, medium, hard difficulty levels) built with Fetch.ai uAgents SDK to help users practice and improve their interviewing skills through interactive Q&A. Developers and interview coaches benefit from a reusable, multi-difficulty agent framework.
A structured interview framework for evaluating remote monitoring center operators, featuring 7+ questions across attention, incident handling, and protocol adherence. Useful for HR teams and security operations managers conducting candidate interviews.
"id": "ai.cookiy/cookiy", "description": "AI user research via study creation, interviews, recruitment, and reports.", "url": "https://github.com/cookiy-ai/cookiy-skill",
