Agent skill

module-planner

Plan tutorial modules from a concept graph, including module objectives and sequencing, saving as `outline/module_plan.yml`. **Trigger**: module plan, tutorial modules, course outline, 模块规划, module_plan.yml. **Use when**: tutorial pipeline 的结构阶段（C2），已有 `outline/concept_graph.yml`，需要把概念依赖转成可教学的模块序列。 **Skip if**: 还没有 concept graph（先跑 `concept-graph`）。 **Network**: none. **Guardrail**: 每模块明确 objectives + outputs（最好含 running example 步骤）；避免 prose 段落。

View SKILL.md on GitHub Repository
Stars 377
Forks 25

Install this agent skill to your Project

npx add-skill https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/module-planner

SKILL.md

Module Planner

Goal: turn a concept DAG into a teachable module sequence with clear objectives and outputs.

Inputs

  • outline/concept_graph.yml

Outputs

  • outline/module_plan.yml

Output schema (recommended)

  • modules: ordered list of modules
    • id, title
    • objectives (3–6 measurable bullets)
    • concepts (node ids from outline/concept_graph.yml)
    • outputs (what the learner produces)
    • running_example_steps (optional but recommended)

Workflow

  1. Read outline/concept_graph.yml and topologically sort concepts.
  2. Cluster concepts into modules (keep module scope coherent; avoid “misc”).
  3. For each module:
    • write measurable objectives
    • define concrete outputs (code/artifact)
    • specify how the running example advances
  4. Write outline/module_plan.yml.

Definition of Done

  • outline/module_plan.yml exists and modules are ordered by prerequisites.
  • Every module has objectives + outputs.
  • Every concept node from outline/concept_graph.yml is covered by at least one module.

Troubleshooting

Issue: modules are too many / too granular

Fix:

  • Merge adjacent modules with shared prerequisites; target ~5–12 modules for most tutorials.

Issue: objectives are not verifiable

Fix:

  • Rewrite objectives so exercise-builder can attach a concrete exercise for each module.

Recommended Agent Skills

Expand your agent's capabilities with these related and highly-rated skills.

WILLOSCAR/research-units-pipeline-skills

thesis-compile-review

对中文毕业论文进行编译、warning 分级、模板模式检查、数据与引用复查，并把问题回写成可继续迭代的 review checklist。 **Trigger**: 毕业论文编译检查, thesis compile review, warning 分级, 终稿复查, main.pdf 检查. **Use when**: 论文已经回写到 TeX 交付层，需要确认是否真正达到“可提交”的质量，而不是只做到能编译。 **Skip if**: 还处于中间层重构阶段，`chapters/*.tex` 尚未形成稳定交付稿。 **Network**: none. **Guardrail**: 不在这里重构章节主线；如果发现结构问题，明确回退到上游修复。

377 25
Explore
WILLOSCAR/research-units-pipeline-skills

front-matter-writer

Write the survey's front matter files (Abstract, Introduction, Related Work, Discussion, Conclusion) in paper voice, with high citation density and a single evidence-policy paragraph. **Trigger**: front matter writer, introduction writer, related work writer, abstract writer, discussion writer, conclusion writer, 引言, 相关工作, 摘要, 讨论, 结论. **Use when**: you are in C5 (prose allowed) and need the paper-like shell to stop the draft reading like stitched subsections. **Skip if**: `Approve C2` is missing in `DECISIONS.md`, or `citations/ref.bib` is missing. **Network**: none. **Guardrail**: no invented facts/citations; no pipeline jargon in final prose; no repeated evidence disclaimers; only use keys present in `citations/ref.bib`.

377 25
Explore
WILLOSCAR/research-units-pipeline-skills

thesis-question-list

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。

377 25
Explore
WILLOSCAR/research-units-pipeline-skills

novelty-matrix

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）。

377 25
Explore
WILLOSCAR/research-units-pipeline-skills

protocol-writer

Write a systematic review protocol into `output/PROTOCOL.md` (databases, queries, inclusion/exclusion, time window, extraction fields). **Trigger**: protocol, PRISMA, systematic review, inclusion/exclusion, 检索式, 纳入排除. **Use when**: systematic review pipeline 的起点（C1），需要先锁定 protocol 再开始 screening/extraction。 **Skip if**: 不是做 systematic review（或 protocol 已经锁定且不允许修改）。 **Network**: none. **Guardrail**: protocol 必须包含可执行的检索与筛选规则；需要 HUMAN 签字后才能进入 screening。

377 25
Explore
WILLOSCAR/research-units-pipeline-skills

rubric-writer

Write a rubric-based peer review report (`output/REVIEW.md`) using extracted claims and evidence gaps (novelty/soundness/clarity/impact). **Trigger**: rubric review, referee report, peer review write-up, 审稿报告, REVIEW.md. **Use when**: peer-review pipeline 的最后阶段（C3），已有 `output/CLAIMS.md` + `output/MISSING_EVIDENCE.md`（以及可选 novelty matrix）。 **Skip if**: 上游产物未就绪（claims/evidence gaps 缺失）或你不打算输出完整审稿报告。 **Network**: none. **Guardrail**: 给可执行建议（actionable feedback），并覆盖 novelty/soundness/clarity/impact；避免泛泛而谈。

377 25
Explore

Didn't find tool you were looking for?

Be as detailed as possible for better results