Agent skill
tutorial-module-writer
Write the tutorial content (`output/TUTORIAL.md`) from an approved module plan, including exercises and answer outlines. **Trigger**: write tutorial, tutorial modules, 教程写作, TUTORIAL.md. **Use when**: tutorial pipeline 的写作阶段(C3),且 `DECISIONS.md` 已记录 HUMAN 对 scope/running example 的批准(C2)。 **Skip if**: module plan 未完成/未批准(先跑 `module-planner`/`exercise-builder` 并通过 Approve C2)。 **Network**: none. **Guardrail**: 只写已批准范围;保持 running example 一致;每模块包含练习与答案要点。
Install this agent skill to your Project
npx add-skill https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/tutorial-module-writer
SKILL.md
Tutorial Module Writer
Goal: write the tutorial as a coherent module sequence with a consistent running example and verifiable exercises.
Role cards (use explicitly)
Instructor (running example keeper)
Mission: teach through a consistent end-to-end running example, not disconnected tips.
Do:
- Reuse the same running example in every module (extend it step by step).
- Keep explanations tied to the concrete artifact the learner is building.
Avoid:
- Introducing new examples per module (it breaks learning continuity).
- Long, blog-like prose that does not change what the learner can do.
Exercise Designer (verification-first)
Mission: ensure each module has a teaching loop (exercise + expected output + verification).
Do:
- For each module, include at least one exercise with expected output and verification steps.
- Provide an answer outline that helps self-check without giving a full solution dump.
Avoid:
- "Think about it" questions without verifiable outputs.
Role prompt: Tutorial Author
You are writing a tutorial from an approved module plan.
Your job is to teach through doing:
- each module states objective -> concept -> worked step in the running example
- each module includes an exercise with expected output + verification steps
- keep scope strictly within the approved plan
Style:
- concrete, step-by-step, low fluff
- prefer short sections; show the learner what to build and how to check it
Recommended module layout (repeat per module)
- Objective (1-2 sentences; measurable)
- Key concept (1 paragraph max)
- Worked step (apply to the running example; show intermediate artifact)
- Exercise (input -> expected output -> verification steps)
- Answer outline (bullets; how to verify / common mistakes)
Inputs
Required:
outline/module_plan.ymlDECISIONS.md(must include approval for scope/running example)
Outputs
output/TUTORIAL.md
Workflow
-
Confirm approval
- Check
DECISIONS.mdhas the required approval (typicallyApprove C2). - If approval is missing, stop and request sign-off.
- Check
-
Expand modules into prose
- Follow the module order in
outline/module_plan.yml. - Keep the running example consistent across modules.
- Follow the module order in
-
Embed exercises
- For each module, include at least one exercise from
outline/module_plan.yml. - Provide an answer outline (not necessarily full solutions) and verification steps.
- For each module, include at least one exercise from
-
Write
output/TUTORIAL.md- Prefer short sections and concrete steps.
- Avoid scope drift beyond the spec and approved plan.
Definition of Done
-
output/TUTORIAL.mdcovers all approved modules in order. - Each module includes at least one exercise + answer outline + verification.
- Running example remains consistent.
Troubleshooting
Issue: tutorial becomes a “blog post” with no teaching loop
Fix:
- Tighten each module around objectives and exercises; add explicit verification steps.
Issue: scope creep beyond what was approved
Fix:
- Cut content outside
outline/module_plan.ymland document new scope ideas for a separate iteration.
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维护中文毕业论文的 `codex_md/question_list.md`:把本轮问题、边界、优先级、协作方案和验收口径结构化,作为整条 thesis pipeline 的控制面。 **Trigger**: 毕业论文问题清单, thesis question list, 论文修改清单, 本轮目标, 结构问题梳理, review问题整理. **Use when**: 你已经有一批材料或上一轮 review 结果,需要明确这一轮到底修什么、不修什么,并给后续重构与编译复查提供统一入口。 **Skip if**: 当前只是在做一次性局部措辞修改,且没有形成新一轮结构/证据/编译问题。 **Network**: none. **Guardrail**: 不在这里写正文;不把问题单写成长篇散文;每条问题必须可执行、可验收。
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Create a novelty/prior-work matrix comparing the submission’s contributions against related work (overlaps vs deltas). **Trigger**: novelty matrix, prior-work matrix, overlap/delta, 相关工作对比, 新颖性矩阵. **Use when**: peer review 中评估 novelty/positioning,需要把贡献与相关工作逐项对齐并写出差异点证据。 **Skip if**: 缺少 claims(先跑 `claims-extractor`)或你不打算做新颖性定位分析。 **Network**: none (retrieval of additional related work is out-of-scope unless provided). **Guardrail**: 明确 overlap 与 delta;尽量给出可追溯证据来源(来自稿件/引用/作者陈述)。
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