Agent skill

snapshot-writer

Write a 1-page literature snapshot (`output/SNAPSHOT.md`) from a small core set + a bullets-only outline. **Trigger**: snapshot, literature snapshot, 速览, 48h snapshot, one-page snapshot, SNAPSHOT.md. **Use when**: 你要在 24-48h 内交付一个“可读的研究速览”(bullet-first,含关键引用),而不是完整 survey。 **Skip if**: 你已经进入 evidence-first survey 写作(有 `outline/evidence_drafts.jsonl` / `citations/ref.bib` / `output/DRAFT.md`),应改用 `subsection-writer`/`prose-writer`。 **Network**: none. **Guardrail**: 不发明论文/引用;引用只来自 `papers/core_set.csv`(或同 workspace 的候选池);不写长段落(避免“像综述生成器”)。

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Install this agent skill to your Project

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

SKILL.md

Snapshot Writer (1-page, bullet-first)

Goal: produce a compact, reader-facing snapshot that answers:

  • what is the topic boundary?
  • what are the key themes?
  • what should a reader read first?

This is intentionally not a full survey: prefer tight bullets + concrete pointers over narrative.

Role cards (use explicitly)

Snapshot Editor (scout)

Mission: deliver a one-page, high-signal snapshot that a reader can act on immediately.

Do:

  • Keep every bullet content-bearing: claim -> why it matters -> pointer(s).
  • Prefer contrasts and evaluation anchors over topic lists.
  • Treat paper pointers as the product (auditable, minimal).

Avoid:

  • Outline narration ("This snapshot/section...") and slide navigation ("Next, we...").
  • Generic survey boilerplate and disclaimer spam.
  • Turning the snapshot into a mini-survey with long paragraphs.

Pointer Curator (bibliography hygiene)

Mission: ensure every pointer is concrete and traceable to papers/core_set.csv.

Do:

  • Use a stable pointer format: P#### - Title (arXiv:... / doi:... / url:...).
  • Mix canonical anchors + recent strong baselines + benchmark/protocol papers.

Avoid:

  • Dumping every paper; the snapshot is a reading path, not a catalog.

Role prompt: Snapshot Author (bullet-first; paper-like)

text
You are writing a one-page literature snapshot.

Your job is to be useful fast:
- define the topic boundary
- surface the key themes as claims (not headings)
- give an actionable reading path (paper pointers)

Style:
- bullets-first, compact, calm
- no narration ("In this snapshot...") and no slide navigation ("Next, we...")

Constraints:
- do not invent papers
- pointers must come from papers/core_set.csv (or the same workspace candidate pool)
- if evidence is abstract-only, state it once as a single bullet, then move on

Inputs

Required:

  • outline/outline.yml
  • papers/core_set.csv

Optional (if available):

  • queries.md (time window / exclusions context)
  • papers/papers_dedup.jsonl (if core_set is very small)

Outputs

  • output/SNAPSHOT.md

Writing contract (paper-like, not generator-like)

  • Keep it to about 1 page (roughly <= 700-900 words).
  • Bullets-first: use short paragraphs only when unavoidable (<= 3 lines each).
  • No outline narration: avoid This section/subsection ..., In this snapshot ..., Next, we ....
  • Don’t spam disclaimers: if evidence is abstract-only, say it once in a short “Evidence policy” line.
  • Every claim bullet should attach at least 1 concrete pointer (paper_id + title; include arxiv_id/doi/url when present).

Recommended structure (stable, minimal headings)

  1. Title + scope (2-3 bullets)
  2. Evidence policy (1 bullet)
  3. Taxonomy (4-6 bullets; groupings only)
  4. Key themes (6-10 bullets; each bullet = 1 claim + 1-2 pointers)
  5. What to read first (6-12 bullets; canonical + recent; each bullet has pointers)
  6. Open problems / risks (4-8 bullets)

Workflow

  1. Read outline/outline.yml and extract:

    • the intended chapter structure (H2)
    • the 6-10 most “write-worthy” bullets per chapter
  2. Read papers/core_set.csv and build a small “pointer palette”

    • Prefer: canonical anchors + recent strong baselines + evaluation/benchmark papers.
    • Avoid: dumping every paper; pick “must-read” sets.
    • If papers/core_set.csv is very small, also scan papers/papers_dedup.jsonl and cherry-pick a few missing anchors (keep pointers auditable).
  3. Write output/SNAPSHOT.md

    • Start each section with a content claim (why it matters), not a navigation sentence.
    • Make at least 2 cross-paper contrasts (A vs B) to avoid a flat list.
    • Use consistent pointer formatting, e.g.:
      • P0012 - <Title> (arXiv:xxxx.xxxxx) or P0012 - <Title> (doi:...)

Definition of Done

  • output/SNAPSHOT.md exists and reads like a human-written snapshot (no template narration).
  • Includes >= 15 distinct paper pointers (or all papers if core_set < 15).
  • Includes >= 2 explicit contrasts and >= 1 evaluation/benchmark bullet (if present in core set).

Troubleshooting

Issue: snapshot feels empty / generic

Fix:

  • Increase papers/core_set.csv size (rerun retrieval/dedupe with broader queries.md).
  • Tighten the outline: fewer headings, stronger H2 names, and bullets that encode “what to compare”.

Issue: snapshot reads like an outline narrator

Fix:

  • Delete all “This section ...” openers and replace with: Claim -> why it matters -> pointers.

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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。

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WILLOSCAR/research-units-pipeline-skills

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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`.

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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。

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WILLOSCAR/research-units-pipeline-skills

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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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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。

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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。

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