7 tagged ai interview, measured the same way as everything else here.
Skill Claude CodeCodex
Generate a fact-checked academic personal homepage from a CV, optionally augmented by an existing manual homepage and an assets directory. Produces editable structured source files (profile.yml + publications.bib + bio.md + news.md) and a single-file HTML page. Uses Codex MCP for independent factual review against…
Skill Claude CodeCodex
Generate a long-form Chinese interview-prep cheat sheet on a specific ML/LLM topic — formulas with derivations, from-scratch PyTorch code, comparison tables, and 25 高频面试题 (L1 必会 / L2 进阶 / L3 顶级 lab). Cross-model codex review checks math, code, historical citations, and style discipline; then /render-html produces a…
Skill Claude CodeCodex
Render an ARIS Markdown / JSON artifact (IDEAREPORT, AUTOREVIEW, KILLARGUMENT, PAPERPLAN, research-wiki state, etc.) into a single-file HTML view designed for human reading. Academic template outputs are gated by a fresh cross-model Codex review for render fidelity + safety (the ARIS invariant). Use when the user says…
Skill Claude CodeCodex
A guided skill for turning a researcher's natural-language goals into structured inputs for an AI phone-outreach project. It collects details such as target users, required questions, follow-up questions, and minimum coverage.
Skill Claude CodeCodex
A guided workflow for creating a complete AI phone-outreach prompt, meaning instructions for an AI system that calls people. It collects project details step by step and assembles them into a prompt ready to paste into an outreach platform.
Skill Claude CodeCodex
A toolkit for AI-assisted user-research phone calls, covering interview preparation, prompt creation, and call review. It guides researchers in Chinese or English and supports methods such as Laddering, SCQA, Five Whys, and Jobs to Be Done.