wanshuiyinwanshuiyinCommunityΒ·3 Agent Skills Included

ARIS-in-AI-Offer

ML interview cheat sheets, HTML rendering, academic homepages

Generates long-form bilingual ML and LLM interview cheat sheets with formula derivations, runnable PyTorch code, and 25 tiered practice questions. Converts Markdown research artifacts into polished single-file HTML pages with math rendering and cross-model fidelity review. Builds fact-checked academic personal homepages from a CV, verifying publications against DBLP before publishing.
npx skills add wanshuiyin/ARIS-in-AI-Offer --all -g -y

All Skills in This Repository (3)

Pure Emerald Level Indicators

Frequently Asked Questions

FAQPage Schema
How to install ARIS-in-AI-Offer?β–Ό

Run `npx skills add wanshuiyin/ARIS-in-AI-Offer --all -g -y` in your terminal to install all skills in this collection globally.

How to prepare for ML engineer interviews?β–Ό

Use the interview-cheatsheet skill to generate a deep Chinese tutorial on any ML topic, complete with formula derivations, from-scratch PyTorch code, and 25 questions ranked by difficulty.

How to build an academic homepage from my CV?β–Ό

The homepage-generator skill reads your CV, extracts structured profile data, fact-checks your publications against DBLP, and renders a single-file HTML page ready for GitHub Pages.

Does ARIS-in-AI-Offer work with Claude Code and Codex?β–Ό

Yes. All skills follow the standard SKILL.md format and use cross-model review, where one model drafts content and another independently verifies math, code, and rendering.

Can I use it without coding experience?β–Ό

Yes. You describe the topic or provide your CV in plain language, and the agent handles drafting, reviewing, and rendering. A Windows zero-setup guide is included for beginners.

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