Interview Cheatsheet
Generate a long-form Chinese interview-prep cheat sheet on a specific ML/LLM topic, ...
Install
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill interview-cheatsheet -g -a claude-code -y- Repository
- wanshuiyin/Auto-claude-code-research-in-sleep18.4k
- Category
- Data and ML
- Updated
- 4d ago
- License
- MIT
- Context cost
- Mediumabout 3,000 tokens
- Runs scripts
- No, instructions only
What it does
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). Use when the user says '写面试 cheat sheet', '写一份 X 教程', '帮我准备 Y 面试题', '出一份 X 速查', or wants a 600-1000 line Chinese tutorial on a specific ML topic.
/interview-cheatsheet, long-form Chinese ML/LLM interview prep
Before each reviewer slot, follow Selectable Reviewers: resolve invocation →
.aris/reviewer.json→ Claude Code default (Codex MCP) withreviewer_route.pythrough the canonical helper resolver, preserving this slot's tier, fresh contexts, source/image inputs and deterministic gates. Codex examples/pins below apply only tobackend=codex; other routes use their own first-call/reply contract. Save the route and actual returned identity; unavailable selections areREVIEW_UNAVAILABLE. Classify acceptance from actual families/completion/scope. Forward invocation reviewer/model/effort overrides to reviewer-bearing children. Generation workers are unchanged.
Generate one comprehensive Chinese cheat sheet per invocation: formulas + derivations + from-scratch code + 25 高频题. Output passes cross-model math/code review before rendering. Detect-only by default: never auto-commits.
Inputs
<topic>(required), narrow enough for one 600-1000 line tutorial. Good: "RLHF / DPO / PPO", "MoE", "KV Cache + Speculative Decoding". Bad (too broad): "all of LLM training", "diffusion" (split into Forward Process / Sampling / CFG separately).--effort(defaultbalanced),balanced≈ 600 lines,max≈ 1000 lines with deeper proofs and more L3 questions.--byline(default"<Your Name>, <Affiliation>"), passed to/render-html --author.--commit(defaultfalse), iffalse(default), stop after rendering; user reviews and commits. Never push without explicit user approval.
