Bilingual ML / LLM / multimodal / diffusion / agent / generative-model interview cheat sheets (秋招经验手册) — single-file...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Still active enough to matter. Good candidate for a fast stack test instead of a long evaluation loop.
Copy the install, test the workflow, then decide if it earns a permanent slot.
Reasonable to try, but it will take more than a quick skim to get real signal.
GitHub health 57/100. no security policy. 3 open issues make this testable, but not something to trust blind.
AI Agent
Claude Code
Model
Claude
Fastest way to find out if ARIS-in-AI-Offer belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
git clone https://github.com/wanshuiyin/ARIS-in-AI-Offer ~/.claude/agents/aris-in-ai-offerRun this first. You will know quickly if the workflow earns a permanent slot.
rm -rf ~/.claude/agents/aris-in-ai-offerNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ ├─ agents/ │ └─ aris-in-ai-offer/ ← installs here └─ settings.json
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
Source: GitHub repository
Source check: July 18, 2026
Upstream commit: July 14, 2026
Repository state: Not marked archived
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