ML Interview Cheat Sheet
Generates 600-1000 line Chinese ML/LLM interview cheat sheets with derivations, code, and tiered Q&A.
Test report
- Verdict
- Works with setup
- Score
- Tested
- Jul 13, 2026
- Environment
- Claude Code 2.x (agent harness)
- Upstream re-checked
- Aug 10, 2026 · 8422693
⚠ The author changed this skill after we tested it. The verdict below describes the version we ran on Jul 13, 2026; it's queued for a re-test.
A scoped KV-Cache mini-run showed the gap concretely: the skill version derived O(N²d)→O(Nd) properly, added an MHA/MQA/GQA/PagedAttention comparison table and tiered L1/L2/L3 collapsible Q&A, versus the baseline's flat unanswered question list — output is Chinese by design, with English technical terms inline. Real setup cost: it needs the whole ARIS repo cloned (not just this skill folder) for its style-reference file and render script, plus a working codex MCP connection for the mandatory cross-model review gate the SKILL.md leans on as its core quality claim.
Scored on four weighted criteria — install, triggering, output vs. baseline, docs. How scoring works
- Installs cleanly 5/5
- Triggers reliably 5/5
- Output vs. baseline 8/10
- Docs & honesty 4/5
What ML Interview Cheat Sheet does
Produces a long-form Chinese-language interview-prep tutorial on one ML/LLM topic: formulas with derivations, 50-80 line from-scratch PyTorch, comparison tables, and 25 tiered interview questions (L1/L2/L3) with collapsible answers. Triggers on phrases like '写面试 cheat sheet', '出一份 X 速查', or a request for a 600-1000 line Chinese tutorial on a narrow ML topic; explicitly declines topics outside ML/LLM or too broad to scope.
How to install ML Interview Cheat Sheet
git clone https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep
cd Auto-claude-code-research-in-sleep
mkdir -p ~/.claude/skills
cp -r skills/interview-cheatsheet ~/.claude/skills/interview-cheatsheet
Skills live in ~/.claude/skills/ (global) or .claude/skills/
(per-project). Restart Claude Code after installing.
Commands — how to trigger ML Interview Cheat Sheet
-
/interview-cheatsheetGenerates 600-1000 line Chinese ML/LLM interview cheat sheets with derivations, code, and tiered Q&A.
It also activates on plain-language prompts like these:
-
Write me a 600-1000 line Chinese interview cheat sheet on attention mechanisms -
I need a Chinese ML interview prep tutorial on KV cache with derivations and code -
帮我写一份关于强化学习 RLHF 和 PPO 的中文面试速查表,包含公式推导和代码实现
Frequently asked questions
- Is the ML Interview Cheat Sheet skill free?
- Yes. The skill itself is free from wanshuiyin/Auto-claude-code-research-in-sleep. SkillProof publishes the install command and an independent test verdict at no cost.
- Does ML Interview Cheat Sheet work with Claude Code?
- We tested it with Claude Code 2.x (agent harness) on Jul 13, 2026. Verdict: Works with setup. A scoped KV-Cache mini-run showed the gap concretely: the skill version derived O(N²d)→O(Nd) properly, added an MHA/MQA/GQA/PagedAttention comparison table and tiered L1/L2/L3 collapsible Q&A, versus the baseline's flat unanswered question list — output is Chinese by design, with English technical terms inline. Real setup cost: it needs the whole ARIS repo cloned (not just this skill folder) for its style-reference file and render script, plus a working codex MCP connection for the mandatory cross-model review gate the SKILL.md leans on as its core quality claim.
- What is the ML Interview Cheat Sheet SkillProof Score?
- 8.8/10 — installs cleanly 5/5, triggers reliably 5/5, output vs. baseline 8/10, docs & honesty 4/5.
- How do I install ML Interview Cheat Sheet?
- Copy the install command from this page, run it in your terminal, and restart Claude Code. Skills live in ~/.claude/skills/ (global) or .claude/skills/ inside a project.
- Can I use ML Interview Cheat Sheet with Cursor, Copilot, Gemini CLI, Codex or other AI tools?
- The SKILL.md format is native to Claude (Claude Code, Desktop, claude.ai). The instructions inside adapt to other assistants: Cursor rules, GitHub Copilot instructions, Windsurf rules, Custom GPTs, AGENTS.md for OpenAI Codex, and GEMINI.md for Google Gemini CLI — our conversion guides cover each, and the free converter on the tools page does the wrapping for you.