ReddRadar
Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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agent-survey-corpus
Download a small corpus of open-access arXiv survey/review PDFs about LLM agents and extract text for style learning.
**Trigger**: agent survey corpus, ref corpus, download surveys, 学习综述写法, 下载 survey.
**Use when**: you want to study how real agent surveys structure sections (6–8 H2), size subsections, and write evidence-backed comparisons.
**Skip if**: you cannot download PDFs (no network) or you don't want local PDF files.
**Network**: required.
**Guardrail**: only download arXiv PDFs; store under `ref/` and keep large files out of git.
WILLOSCAR/research-units-pipeline-skills 377
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chapter-skeleton
Build a retrieval-informed chapter skeleton (`outline/chapter_skeleton.yml`) from taxonomy/core scope before stable H3 decomposition.
**Trigger**: chapter skeleton, chapter-level outline, H2 skeleton, section-first survey, 章节骨架, 章级骨架.
**Use when**: survey structure should stabilize chapter-level intent before subsection mapping and writing cards.
**Skip if**: `outline/chapter_skeleton.yml` already exists and is refined.
**Network**: none.
**Guardrail**: NO PROSE; do not invent papers; keep output chapter-level only.
WILLOSCAR/research-units-pipeline-skills 377
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opener-variator
Rewrite subsection openers so they stop reading like a generated table-of-contents: remove \"overview/narration\" stems and reduce repeated opener cadences across H3s.
**Trigger**: opener variator, opener rewrite, rewrite openers, overview opener, 开头改写, 小节开头, 去overview, 去旁白.
**Use when**: `writer-selfloop` is PASS but flags repeated opener stems / overview narration in `output/WRITER_SELFLOOP_TODO.md`, or the draft still has a subtle “generator cadence”.
**Skip if**: you are pre-C2 (NO PROSE), or the section is evidence-thin (route upstream; don’t stylize filler).
**Network**: none.
**Guardrail**: do not invent facts; do not add/remove/move citation keys; do not move citations across subsections; keep meaning intact.
WILLOSCAR/research-units-pipeline-skills 377
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workspace-init
Initialize a new workspace by copying the standard artifact template (STATUS.md, CHECKPOINTS.md, UNITS.csv, DECISIONS.md + folders).
**Trigger**: workspace init, initialize workspace, workspace template, 初始化 workspace.
**Use when**: 启动任何 pipeline run（必须先有 workspace 工件与目录骨架）。
**Skip if**: workspace 已初始化且不希望覆盖既有文件（除非显式 `--overwrite`）。
**Network**: none.
**Guardrail**: 不要修改 `.codex/skills/workspace-init/assets/` 模板；默认不覆盖已有文件。
WILLOSCAR/research-units-pipeline-skills 377
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latex-scaffold
Scaffold a LaTeX project (`latex/main.tex`, bibliography wiring, structure) from an existing Markdown draft and `citations/ref.bib`.
**Trigger**: latex scaffold, md→tex, LaTeX 项目骨架, 生成 main.tex.
**Use when**: 需要 LaTeX/PDF 交付（例如 arxiv-survey-latex pipeline），且 draft 已生成/已进入写作阶段。
**Skip if**: 还没有 `output/DRAFT.md`（或你不需要 LaTeX 交付）。
**Network**: none.
**Guardrail**: 移除 markdown 残留（`##`, `**`, `[@...]`）；bibliography 指向 `citations/ref.bib`；不在此步骤改写内容。
WILLOSCAR/research-units-pipeline-skills 377
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idea-direction-generator
Generate a compact pool of discussion-worthy research directions from the signal table, writing `output/trace/IDEA_DIRECTION_POOL.md`.
**Trigger**: idea direction pool, brainstorm directions, research directions, 研究方向池, brainstorm pool.
**Use when**: you already have a signal table and want a small, non-isomorphic set of candidate directions.
**Skip if**: `output/trace/IDEA_DIRECTION_POOL.md` already exists and is refined.
**Network**: none.
**Guardrail**: no invented papers; directions must stay anchored to the current signal table and core set.
WILLOSCAR/research-units-pipeline-skills 377
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tutorial-spec
Define tutorial scope, target audience, prerequisites, learning objectives, and a running example; output a tutorial spec for downstream planning.
**Trigger**: tutorial spec, scope, audience, prerequisites, learning objectives, running example, 教程规格.
**Use when**: tutorial pipeline 的起点（C1），需要先锁定教学目标与边界，再进入 concept graph / module planning。
**Skip if**: 你不是在做教程产出（或已经有明确且不允许改动的 tutorial spec）。
**Network**: none.
**Guardrail**: 结构化 spec 优先；避免提前写长教程 prose（prose 在 C3）。
WILLOSCAR/research-units-pipeline-skills 377
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writer-context-pack
Build per-H3 writer context packs (NO PROSE): merge briefs + evidence packs + anchor facts + allowed citations into a single deterministic JSONL, so drafting is less hollow and less brittle.
**Trigger**: writer context pack, context pack, drafting pack, paragraph plan pack, 写作上下文包.
**Use when**: `outline/subsection_briefs.jsonl` + `outline/evidence_drafts.jsonl` + `outline/anchor_sheet.jsonl` exist and you want to make C5 drafting easier/more consistent.
**Skip if**: upstream evidence is missing or scaffolded (fix `paper-notes` / `evidence-binder` / `evidence-draft` / `anchor-sheet` first).
**Network**: none.
**Guardrail**: NO PROSE; do not invent facts/citations; only use citation keys present in `citations/ref.bib`.
WILLOSCAR/research-units-pipeline-skills 377
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thesis-chapter-reconstructor
围绕毕业论文主线重构章节：把原论文式叙事改成学位论文式叙事，重写章节目标、内容比重、前后承接与论证方式。
**Trigger**: 章节重构, chapter reconstructor, 毕业论文主线重构, paper 变 thesis, 章节改写.
**Use when**: 你已经知道每份材料在毕业论文中的角色，但当前章节仍然像原论文翻译、拼接或卖点展示。
**Skip if**: 当前只是做局部句子润色，或章节角色尚未确定。
**Network**: none.
**Guardrail**: 不是翻译论文；不是简单删减；必须围绕毕业论文主线重写章节目标与承接关系。
WILLOSCAR/research-units-pipeline-skills 377
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thesis-source-role-mapper
将中文毕业论文已有材料映射到“毕业论文角色”：把论文、模板、Overleaf 源稿、PDF、图表和实验材料按章节角色、研究问题和证据用途重新归位。
**Trigger**: 毕业论文材料映射, source role map, paper to chapter, 章节角色映射, 论文归章, 材料归位.
**Use when**: 已经完成材料盘点，需要决定各份材料在毕业论文里扮演什么角色，而不是继续按原 paper 叙事直接写。
**Skip if**: 当前只是在修一个已经稳定的单章措辞，且没有新的来源材料进入。
**Network**: none.
**Guardrail**: 不是做翻译；不是简单 `paper -> chapter` 分桶；必须显式说明“在毕业论文里的角色”。
WILLOSCAR/research-units-pipeline-skills 377
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unit-planner
Instantiate or update a workspace `UNITS.csv` from a selected pipeline and units template (deps/checkpoints/acceptance).
**Trigger**: unit planner, generate UNITS.csv, execution contract, units template, 生成工作单元.
**Use when**: 初始化/更新执行合同：从 pipeline 选择生成 `UNITS.csv`，或 scope 扩展需要新增 units/依赖。
**Skip if**: `UNITS.csv` 已正确反映当前 scope（无需重写）。
**Network**: none.
**Guardrail**: 保持 CSV 合法；scope 增长时新增 units；只在满足验收后标 `DONE`。
WILLOSCAR/research-units-pipeline-skills 377
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screening-manager
Manage title/abstract screening and record decisions into `papers/screening_log.csv` according to an approved protocol.
**Trigger**: screening, title/abstract screening, inclusion/exclusion, screening_log.csv, 文献筛选, 纳入排除.
**Use when**: systematic review 的 screening 阶段（C2），protocol 已锁定并通过 HUMAN 审批。
**Skip if**: 还没有 `output/PROTOCOL.md`（或 protocol 未通过签字）。
**Network**: none.
**Guardrail**: 每条记录包含决策与理由；保持可审计（不要把“未读/不确定”当作纳入）。
WILLOSCAR/research-units-pipeline-skills 377
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paper-notes
Write structured notes for each paper in the core set into `papers/paper_notes.jsonl` (summary/method/results/limitations).
**Trigger**: paper notes, structured notes, reading notes, 论文笔记, paper_notes.jsonl.
**Use when**: survey 的 evidence 阶段（C3），已有 `papers/core_set.csv`（以及可选 fulltext），需要为后续 claims/citations/writing 准备可引用证据。
**Skip if**: 还没有 core set（先跑 `dedupe-rank`），或你只做极轻量 snapshot 不需要细粒度证据。
**Network**: none.
**Guardrail**: 具体可核对（method/metrics/limitations），避免大量重复模板；保持结构化字段而非长 prose。
WILLOSCAR/research-units-pipeline-skills 377
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evidence-binder
Bind addressable evidence IDs from `papers/evidence_bank.jsonl` to each subsection (H3), producing `outline/evidence_bindings.jsonl`.
**Trigger**: evidence binder, evidence plan, section->evidence mapping, 证据绑定, evidence_id.
**Use when**: `papers/evidence_bank.jsonl` exists and you want writer/auditor to use section-scoped evidence items (WebWeaver-style memory bank).
**Skip if**: you are not doing evidence-first section-by-section writing.
**Network**: none.
**Guardrail**: NO PROSE; do not invent evidence; only select from the existing evidence bank.
WILLOSCAR/research-units-pipeline-skills 377
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claim-evidence-matrix
Build a section-by-section claim–evidence matrix (`outline/claim_evidence_matrix.md`) from the outline and paper notes.
**Trigger**: claim–evidence matrix, evidence mapping, 证据矩阵, 主张-证据对齐.
**Use when**: 写 prose 之前需要把每个小节的可检验主张与证据来源显式化（outline + paper notes 已就绪）。
**Skip if**: 缺少 `outline/outline.yml` 或 `papers/paper_notes.jsonl`。
**Network**: none.
**Guardrail**: bullets-only（NO PROSE）；每个 claim 至少 2 个证据来源（或显式说明例外）。
WILLOSCAR/research-units-pipeline-skills 377
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idea-brief
Lock an ideation run into a single-source-of-truth brainstorm brief (`output/trace/IDEA_BRIEF.md`) and a replayable multi-query plan (`queries.md`).
**Trigger**: idea brief, ideation brief, research ideas, brainstorm, 找 idea, 选题, 点子, 找方向.
**Use when**: the user wants research ideas and their input is long / multi-turn; you need to clarify topic + constraints before retrieval.
**Skip if**: the goal is to write a survey draft directly (use `arxiv-survey*` pipelines instead).
**Network**: none.
**Guardrail**: do not invent papers/citations; do not start retrieval here; keep the brief structured (no long prose).
WILLOSCAR/research-units-pipeline-skills 377
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outline-builder
Convert a taxonomy (`outline/taxonomy.yml`) into a bullet-only outline (`outline/outline.yml`) with sections/subsections.
**Trigger**: outline builder, bullet outline, outline.yml, 大纲生成, bullets-only.
**Use when**: structure 阶段（NO PROSE），已有 taxonomy，需要生成可映射/可写作的章节与小节骨架（每小节≥3 bullets）。
**Skip if**: 已经有批准过且可映射的 outline（避免无意义 churn）。
**Network**: none.
**Guardrail**: bullets-only；移除 TODO/模板语句；每小节至少 3 个可检查 bullets。
WILLOSCAR/research-units-pipeline-skills 377
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idea-screener
Screen the direction pool with a discussion-first scoring pass, writing `output/trace/IDEA_SCREENING_TABLE.md`.
**Trigger**: idea screener, screening table, brainstorm screening, 方向筛选表.
**Use when**: you already have a direction pool and want a table-first comparison before curating the shortlist.
**Skip if**: the direction pool is still missing or obviously templated.
**Network**: none.
**Guardrail**: no invented papers; scoring should reflect discussion value and distinctness, not stylistic polish.
WILLOSCAR/research-units-pipeline-skills 377
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manuscript-ingest
Ingest a submitted manuscript into plain text (`output/PAPER.md`) so downstream review skills can extract claims with source pointers.
**Trigger**: ingest paper, manuscript text, provide paper, paper.md, 输入论文, 导入稿件, 审稿输入.
**Use when**: You are running the `peer-review` pipeline and need `output/PAPER.md` before `claims-extractor`.
**Skip if**: `output/PAPER.md` already exists and looks like the full manuscript text.
**Network**: none.
**Guardrail**: Do not summarize or rewrite the paper; store the raw text (or a faithful extraction) so claims stay traceable.
WILLOSCAR/research-units-pipeline-skills 377
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global-reviewer
Global consistency review for survey drafts: terminology, cross-section coherence, and scope/citation hygiene.
Writes `output/GLOBAL_REVIEW.md` and (optionally) applies safe edits to `output/DRAFT.md`.
**Trigger**: global review, consistency check, coherence audit, 术语一致性, 全局回看, 章节呼应, 拷打 writer.
**Use when**: Draft exists and you want a final evidence-first coherence pass before LaTeX/PDF.
**Skip if**: You are still changing the outline/mapping/notes (do those first), or prose writing is not approved.
**Network**: none.
**Guardrail**: Do not invent facts or citations; do not add new citation keys; treat missing evidence as a failure signal.
WILLOSCAR/research-units-pipeline-skills 377
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subsection-briefs
Build per-subsection writing briefs (NO PROSE) so later drafting is driven by evidence and checkable comparison axes (not outline placeholders).
**Trigger**: subsection briefs, writing cards, intent cards, H3 briefs, scope_rule, axes, clusters, 写作意图卡, 小节卡片, 段落计划.
**Use when**: `outline/outline.yml` + `outline/mapping.tsv` + `papers/paper_notes.jsonl` exist and you want section-by-section drafting without template leakage.
**Skip if**: `outline/subsection_briefs.jsonl` already exists and is refined (no placeholders/ellipsis; axes+clusters+paragraph_plan are filled).
**Network**: none.
**Guardrail**: NO PROSE; do not invent papers; only reference `paper_id`/`bibkey` that exist in `papers/paper_notes.jsonl`.
WILLOSCAR/research-units-pipeline-skills 377
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section-logic-polisher
Logic coherence pass for per-H3 section files: enforce a clear paragraph-1 thesis and surface paragraph-island risks (connector stats are diagnostic, not a quota) before merging.
**Trigger**: logic polisher, section logic, thesis statement, connectors, 段落逻辑, 连接词, 论证主线, 润色逻辑.
**Use when**: `sections/S*.md` exist but read like paragraph islands; you want a targeted, debuggable self-loop before `section-merger`.
**Skip if**: sections are missing/thin (fix `subsection-writer` first) or evidence packs/briefs are scaffolded (fix C3/C4 first).
**Network**: none.
**Guardrail**: do not add new citations; do not invent facts; do not change citation keys; do not move citations across subsections.
WILLOSCAR/research-units-pipeline-skills 377
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table-filler
Fill `outline/tables_index.md` from `outline/table_schema.md` + evidence packs (NO PROSE in cells; citation-backed rows).
**Trigger**: table filler, fill tables, evidence-first tables, index tables, 表格填充, 索引表.
**Use when**: table schema exists and evidence packs are ready; you want a compact, citation-backed index table to support later writing and Appendix table curation.
**Skip if**: `outline/tables_index.md` already exists and is refined (>=2 tables; citations in rows; no placeholders).
**Network**: none.
**Guardrail**: do not invent facts; every row must include citations; do not write paragraph cells.
WILLOSCAR/research-units-pipeline-skills 377
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unit-executor
Execute exactly one runnable unit from `UNITS.csv` (first TODO whose dependencies are DONE), then update unit status and artifacts.
**Trigger**: unit executor, run one unit, next unit, step-by-step pipeline, 逐条执行, UNITS.csv.
**Use when**: 需要严格“一次只做一个 unit”（可审计、可中断），并遵守 checkpoints/HUMAN 阻塞逻辑。
**Skip if**: 要端到端自动跑（用 `research-pipeline-runner`）或 workspace 不存在。
**Network**: none.
**Guardrail**: 只执行一个 unit；满足验收且输出存在才可标 `DONE`；遇到 HUMAN checkpoint 必须停下。
WILLOSCAR/research-units-pipeline-skills 377