BeClaude

ARIS-in-AI-Offer

New
GitHub TrendingGeneralby wanshuiyin

Bilingual ML / LLM / multimodal / diffusion / agent / generative-model interview cheat sheets (秋招经验手册) — single-file HTML reads anywhere on phone, iPad, and laptop — auto-generated by the ARIS /render-html workflow 🌱

First seen 5/22/2026

Summary

This skill provides bilingual (Chinese/English) cheat sheets covering ML, LLM, multimodal, diffusion, agent, and generative model interview topics.

  • It renders a single-file HTML that works on any device, helping developers quickly review key concepts and prepare for AI job interviews.

Install & Usage

1
Create the agents directory
mkdir -p .claude/agents
2
Save the agent file

Add the configuration to .claude/agents/aris-in-ai-offer.md

3
Invoke with @agent-name
@aris-in-ai-offer

Use Cases

Review key ML and LLM concepts before a technical interview using a portable HTML cheat sheet.
Quickly look up multimodal model architectures and diffusion process details during study sessions.
Prepare for agent-based AI system design questions with curated summaries and examples.
Access generative model interview materials offline on phone, iPad, or laptop without internet.
Compare bilingual terminology and explanations for Chinese and English interview contexts.
Refresh knowledge on transformer variants, attention mechanisms, and training techniques.

Usage Examples

1

/aris-in-ai-offer Show me the LLM cheat sheet section on attention mechanisms.

2

/aris-in-ai-offer Generate a bilingual cheat sheet for diffusion models and list key formulas.

3

/aris-in-ai-offer What are the top 10 agent interview questions covered in this skill?

View source on GitHub
agent

Security Audits

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Frequently Asked Questions

What is ARIS-in-AI-Offer?

This skill provides bilingual (Chinese/English) cheat sheets covering ML, LLM, multimodal, diffusion, agent, and generative model interview topics. It renders a single-file HTML that works on any device, helping developers quickly review key concepts and prepare for AI job interviews.

How to install ARIS-in-AI-Offer?

To install ARIS-in-AI-Offer: create the agents directory (mkdir -p .claude/agents), then add the config to .claude/agents/aris-in-ai-offer.md. Finally, @aris-in-ai-offer in Claude Code.

What is ARIS-in-AI-Offer best for?

ARIS-in-AI-Offer is a agent categorized under General. It is designed for: agent. Created by wanshuiyin.

What can I use ARIS-in-AI-Offer for?

ARIS-in-AI-Offer is useful for: Review key ML and LLM concepts before a technical interview using a portable HTML cheat sheet.; Quickly look up multimodal model architectures and diffusion process details during study sessions.; Prepare for agent-based AI system design questions with curated summaries and examples.; Access generative model interview materials offline on phone, iPad, or laptop without internet.; Compare bilingual terminology and explanations for Chinese and English interview contexts.; Refresh knowledge on transformer variants, attention mechanisms, and training techniques..