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Generate a high-level draft document (draft.md) from a user's task description. Use ONLY when the user explicitly invokes /gen-draft or says '写draft', '生成draft'. Never trigger automatically. The draft captures WHAT and WHY, never HOW.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Guides AI through the end-to-end task submission workflow for the claude-config repo: (1) initializing a task workspace with new_task.sh, (2) committing and pushing to v2 and main branches, (3) deploying to the remote GPU server via ssh. Trigger when user says 'submit', 'push', 'deploy', 'version bump', 'push to main', or asks to commit and push changes to this repo.
Enforces just-in-time term definition in technical writing — every name / file path / acronym / black-box term gets explained the moment it first appears (one line, parenthetical, inline), and re-explained whenever it reappears after a long gap. **NEVER** front-load a glossary at the top of a document; **NEVER** assume the reader has already read 100 turns of context. Trigger this skill aggressively whenever (1) the user complains 'I don't understand / 听不懂 / 说人话 / 给我说人话 / 你在说啥 / 这是啥 / 黑话 / 别用术语 / 操你妈的看不懂', (2) the user pushes back on a previous reply with 'what is X' / 'what does X mean' / '这个 X 是什么', (3) you're writing any technical report / diagnosis / plan / postmortem / architecture doc that mentions internal file paths, scripts, hooks, FSM states, variable names, or any term that wasn't in the user's original prompt verbatim, (4) you're about to write a 'Glossary' or 'Definitions' section at the top of a document — STOP, this skill says don't. Over-trigger rather than under-trigger; the cost of one extra
Audits whether the current code is already running at maximum speed by checking GPU/CPU/IO bottleneck saturation. Red-alarms if NONE of GPU/CPU/IO is bottlenecked — that proves speedup is mathematically possible and the code is wasting compute. Loads 5 sub-skills progressively. Trigger this skill aggressively whenever the user asks about speed, performance, throughput, latency, "why is this slow", "is my code optimal", "can I make this faster", "find the bottleneck", profiling, optimization, GPU utilization, dataloader speed, training speed, inference speed, 性能, 加速, 瓶颈, 慢, 优化, 训练慢, 推理慢, even when the user doesn't explicitly use the word "audit". Also trigger when reviewing training scripts, inference scripts, or any data-processing pipeline for efficiency. Skip only if the user clearly asks about correctness, not speed.
Document-level rigour auditor. Enforces that every term, symbol, abbreviation, experimental label, and formula appears with its definition adjacent to its first occurrence — and re-states it on distant reuse. Also enforces no-step-skipping in math derivations. Invoke whenever writing or reviewing a technical report, paper explanation, or derivation where a reader could encounter an undefined token. Pairs with math-explain (single-formula checklist) and zero-jump-check (inter-step seam auditor) as the outer document-level layer of the rigorous-writing stack.
Generate a structured, navigable code documentation document for a Python codebase — the 'code tree'. Use this skill whenever the user asks to document a codebase, explain how the code works end-to-end, generate a code tree, write code documentation, understand call chains, or map out how functions relate to each other. Trigger on: '生成代码树', '代码树', '给我写代码文档', '解释代码结构', '画一个调用树', 'generate a code tree', 'document the codebase', 'write code docs', 'explain how the code works', 'map out the call chains', 'code documentation'. The output is a single Markdown file with: (1) directory tree, (2) ASCII call trees per functional area, (3) per-function docs with always-visible input/output descriptions and collapsed technical details. After generating, the skill runs ask-claude to verify format quality and fixes issues.
Generate a project-specific draft_simplify.md for a code repository — a high-level plan for an upcoming maintainability refactor that preserves runtime behavior bit-for-bit. Use this skill whenever the user wants to PLAN a code-cleanup / refactor / maintainability pass on a whole repository, before any code is changed. Trigger aggressively on phrases like '生成simplify draft', '写一下化简方案', '重构方案', '生成可维护性化简的draft', '帮我规划一下重构', 'plan a refactor', 'draft a simplify plan', 'generate a refactor plan for this repo'. The skill does NOT execute the refactor — it only produces the planning document. The output is a single instantiated draft_simplify.md at the repo root, with all placeholders filled from a mandatory AskUserQuestion intake. Do NOT trigger for: single-PR review (use /simplify), one-shot small edits, or when the user explicitly asks to start refactoring immediately. Do NOT confuse with /gen-draft (which is the generic draft generator) — this skill is specialized: the output draft already contains the full si
| name | gen-draft |
| description | Generate a high-level draft document (draft.md) from a user's task description. Use ONLY when the user explicitly invokes /gen-draft or says '写draft', '生成draft'. Never trigger automatically. The draft captures WHAT and WHY, never HOW. |
Before any
AskUserQuestioncall, load and apply~/.claude/rules/6_user_facing_questions.md(mandatory plain-language guard — four-piece set + jargon self-scan).
The draft pipeline has two mandatory phases. They are sequential and cannot be merged.
Read /home/yguo173/.claude/skills/gen-draft/1_gather.md and execute it completely.
HARD STOP: Do not read 2_write.md. Do not write any draft content. Do not generate section headers.
Your only job right now is to ask the user questions and wait for their answers.
You are done with Phase 1 when: the user has answered your questions in this conversation.
Once the user has responded to your Phase 1 questions, read /home/yguo173/.claude/skills/gen-draft/2_write.md and execute it.
Use the user's answers to fill in the draft. Do not invent values for anything the user left unanswered — mark those as ⚠ not specified.
