ReddRadar
Topic: research-project
100 skills in this topic.
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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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synthesis-writer
Synthesize evidence into a structured narrative (`output/SYNTHESIS.md`) grounded in `papers/extraction_table.csv`, including limitations and bias considerations.
**Trigger**: synthesis, evidence synthesis, systematic review writing, 综合写作, SYNTHESIS.md.
**Use when**: systematic review 完成 screening+extraction（含 bias 评估）后进入写作阶段（C4）。
**Skip if**: 还没有 `papers/extraction_table.csv`（或 protocol/screening 尚未完成）。
**Network**: none.
**Guardrail**: 以 extraction table 为证据底座；明确局限性与偏倚；不要在无数据支撑时扩写结论。
WILLOSCAR/research-units-pipeline-skills 377
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citation-diversifier
Raise citation diversity/density (NO NEW FACTS): generate an in-scope “citation budget” plan per H3 so drafts stop failing the global unique-citation gate and stop looking under-cited.
**Trigger**: cite boost, citation budget, unique citations too low, add more citations, improve reference density, 引用太少, 增加引用, 引用密度.
**Use when**: `pipeline-auditor` FAILs due to low unique citations, or you want to increase cite density without changing claims.
**Skip if**: you need new papers (fix C1/C2 mapping first), or `citations/ref.bib` / `outline/writer_context_packs.jsonl` is missing.
**Network**: none.
**Guardrail**: NO NEW FACTS; do not invent citations; only use keys already present in `citations/ref.bib`; keep citations within each H3’s allowed scope (`outline/writer_context_packs.jsonl` / `outline/evidence_bindings.jsonl`).
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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evidence-auditor
Audit the evidence supporting each claim and write gaps/concerns into `output/MISSING_EVIDENCE.md`.
**Trigger**: evidence audit, missing evidence, unsupported claims, 审稿证据审计, 证据缺口.
**Use when**: peer review 流程中，需要逐条检查 claim 的证据链、缺 baseline、评测薄弱点。
**Skip if**: 缺少 claims 输入（例如还没有 `output/CLAIMS.md`）。
**Network**: none.
**Guardrail**: 只写“缺口/风险/下一步验证”，不要替作者补写论述或引入新主张。
WILLOSCAR/research-units-pipeline-skills 377
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evaluation-anchor-checker
Audit and rewrite evaluation/numeric claims to ensure they carry minimal protocol context (task + metric + constraint) and avoid underspecified model naming.
**Trigger**: evaluation anchor checker, numeric claim hygiene, underspecified numbers, protocol context, 评测锚点检查, 数字断言, 指标上下文.
**Use when**: before final merge/polish, or when reviewers would likely flag claims as underspecified (numbers without task/metric/budget), or `pipeline-auditor` warns about suspicious model naming.
**Skip if**: evidence is too thin to justify numeric claims (route upstream to C3/C4), or you are pre-C2 (NO PROSE).
**Network**: none.
**Guardrail**: do not invent numbers; do not add/remove/move citation keys; if protocol context is missing, weaken/remove the numeric claim rather than guessing.
WILLOSCAR/research-units-pipeline-skills 377
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draft-polisher
Audit-style editing pass for `output/DRAFT.md`: remove template boilerplate, improve coherence, and enforce citation anchoring.
**Trigger**: polish draft, de-template, coherence pass, remove boilerplate, 润色, 去套话, 去重复, 统一术语.
**Use when**: a first-pass draft exists but reads like scaffolding (repetition/ellipsis/template phrases) or needs a coherence pass before global review/LaTeX.
**Skip if**: the draft already reads human-grade and passes quality gates; or prose is not approved in `DECISIONS.md`.
**Network**: none.
**Guardrail**: do not add/remove/invent citation keys; do not move citations across subsections; do not change claims beyond what existing citations support.
WILLOSCAR/research-units-pipeline-skills 377
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deliverable-selfloop
Self-loop a deliverable until it is publishable by the pipeline standard: diagnose -> fix -> re-check, and write a PASS/FAIL report.
**Trigger**: self loop, self-loop, polish deliverable, quality gate, fix-on-fail, 收敛, 自循环, 质量门.
**Use when**: A pipeline has produced a reader-facing deliverable (`output/*.md`) and you want deterministic convergence to PASS.
**Skip if**: You are still pre-approval for prose or the upstream evidence/structure artifacts are missing.
**Network**: none.
**Guardrail**: Do not invent papers/citations/results. Only use in-scope inputs already present in the workspace.
WILLOSCAR/research-units-pipeline-skills 377
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dedupe-rank
Dedupe and rank a raw paper set (`papers/papers_raw.jsonl`) to produce `papers/papers_dedup.jsonl` and `papers/core_set.csv`.
**Trigger**: dedupe, rank, core set, 去重, 排序, 精选论文, 核心集合.
**Use when**: 检索后需要把广覆盖集合收敛成可管理的 core set（用于 taxonomy/outline/mapping）。
**Skip if**: 已经有人手工整理了稳定的 `papers/core_set.csv`（无需再次 churn）。
**Network**: none.
**Guardrail**: 偏 deterministic；输出应可重复（稳定 paper_id、字段规范）。
WILLOSCAR/research-units-pipeline-skills 377
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concept-graph
Build a concept graph (nodes + prerequisite edges) from a tutorial spec, saving as `outline/concept_graph.yml`.
**Trigger**: concept graph, prerequisite graph, dependency graph, 概念图, 先修关系.
**Use when**: tutorial pipeline 的结构阶段（C2），需要把教程知识点拆成可排序的依赖图（在写教程 prose 前）。
**Skip if**: 还没有 tutorial spec（例如缺少 `output/TUTORIAL_SPEC.md`）。
**Network**: none.
**Guardrail**: 只做结构；避免写长 prose 段落。
WILLOSCAR/research-units-pipeline-skills 377
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claims-extractor
Extract key claims, contributions, and assumptions from a paper/manuscript into `output/CLAIMS.md` with traceability to source locations.
**Trigger**: claims extractor, extract claims, contributions, assumptions, peer review, 审稿, 主张提取.
**Use when**: 审稿/评审或 evidence audit，需要把主张列表落盘并可追溯到原文位置（section/page/quote）。
**Skip if**: 没有可用的稿件/全文（例如缺少 `output/PAPER.md` 或等价文本）。
**Network**: none.
**Guardrail**: 每条 claim 必须带可定位的 source pointer；区分 empirical vs conceptual claims。
WILLOSCAR/research-units-pipeline-skills 377
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claim-matrix-rewriter
Rewrite `outline/claim_evidence_matrix.md` as a projection/index of evidence packs (NO PROSE), so claims/axes are driven by `outline/evidence_drafts.jsonl` rather than outline placeholders.
**Trigger**: claim matrix rewriter, rewrite claim-evidence matrix, evidence-first claim matrix, matrix index, 证据矩阵重写, 从证据包生成矩阵.
**Use when**: `outline/subsection_briefs.jsonl` + `outline/evidence_drafts.jsonl` are ready and you want a clean claim→evidence index for QA/writing.
**Skip if**: `outline/claim_evidence_matrix.md` is already refined and consistent with evidence packs.
**Network**: none.
**Guardrail**: NO PROSE; do not invent facts; only cite keys present in `citations/ref.bib`; if evidence is abstract/title-only, claims must be provisional.
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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citation-verifier
Generate and verify BibTeX entries from paper notes, writing `citations/ref.bib` and `citations/verified.jsonl`.
**Trigger**: citation, BibTeX, ref.bib, verified.jsonl, references, 引用, 参考文献.
**Use when**: 已有 `papers/paper_notes.jsonl`，需要为 prose/LaTeX 准备可追溯的引用（每条都有 url/date/title 验证记录）。
**Skip if**: 还没有 paper notes（或本次产出不需要引用/参考文献）。
**Network**: 自动验证通常需要网络；无网络时可先 record，再标注 needs manual verification。
**Guardrail**: 每个 BibTeX entry 必须对应一条 `citations/verified.jsonl` 记录；prose 只能使用已存在于 `citations/ref.bib` 的 citation keys。
WILLOSCAR/research-units-pipeline-skills 377
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citation-injector
Apply a `citation-diversifier` budget report by injecting *in-scope* citations into an existing draft (NO NEW FACTS), so the run passes the global unique-citation gate without citation dumps.
**Trigger**: citation injector, apply citation budget, inject citations, add citations safely, 引用注入, 按预算加引用, 引用增密.
**Use when**: `output/CITATION_BUDGET_REPORT.md` exists and you need to raise *global* unique citations (or reduce over-reuse) before `draft-polisher` / `pipeline-auditor`.
**Skip if**: you need more papers/citations upstream (fix C1/C2 mapping first), or `citations/ref.bib` is missing.
**Network**: none.
**Guardrail**: NO NEW FACTS; do not invent citations; only inject keys present in `citations/ref.bib`; keep injected citations within each H3’s allowed scope (via the budget report); avoid citation-dump paragraphs (embed cites per work).
WILLOSCAR/research-units-pipeline-skills 377
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evidence-draft
Create per-subsection evidence packs (NO PROSE): claim candidates, concrete comparisons, evaluation protocol, limitations, plus citation-backed evidence snippets with provenance.
**Trigger**: evidence draft, evidence pack, claim candidates, concrete comparisons, evidence snippets, provenance, 证据草稿, 证据包, 可引用事实.
**Use when**: `outline/subsection_briefs.jsonl` exists and you want evidence-first section drafting where every paragraph can be backed by traceable citations/snippets.
**Skip if**: `outline/evidence_drafts.jsonl` already exists and is refined (no placeholders; >=4 grounded comparisons per subsection in survey mode; `blocking_missing` empty).
**Network**: none (richer evidence improves with abstracts/fulltext).
**Guardrail**: NO PROSE; do not invent facts; only use citation keys that exist in `citations/ref.bib`.
WILLOSCAR/research-units-pipeline-skills 377
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citation-anchoring
Regression-check citation anchoring (citations stay in the same subsection) to prevent “polish drift” that breaks claim→evidence alignment.
**Trigger**: citation anchoring, citation drift, regression, cite stability, 引用锚定, 引用漂移.
**Use when**: after editing/polishing, you want to confirm citations did not migrate across `###` subsections.
**Skip if**: you do not have a baseline anchor file yet.
**Network**: none.
**Guardrail**: analysis-only; do not edit content.
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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chapter-lead-writer
Write H2 chapter lead blocks (`sections/S<sec_id>_lead.md`) that preview the chapter's comparison lens and connect its H3 subsections, without adding new facts.
**Trigger**: chapter lead writer, section lead writer, H2 lead, lead paragraph, 章节导读, 章节导语.
**Use when**: you have H2 chapters with multiple H3 subsections and the draft reads like paragraph islands across subsections.
**Skip if**: the outline has no H3 subsections, or `outline/chapter_briefs.jsonl` is missing.
**Network**: none.
**Guardrail**: no new facts/citations; no headings; no narration templates; use only citation keys present in `citations/ref.bib`.
WILLOSCAR/research-units-pipeline-skills 377
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chapter-briefs
Build per-chapter (H2) writing briefs (NO PROSE) so the final survey reads like a paper (chapter leads + cross-H3 coherence) without inflating the ToC.
**Trigger**: chapter briefs, H2 briefs, chapter lead plan, section intent, 章节意图, 章节导读, H2 卡片.
**Use when**: `outline/outline.yml` + `outline/subsection_briefs.jsonl` exist and you want thicker chapters (fewer headings, more logic).
**Skip if**: the outline is still changing heavily (fix outline/mapping first).
**Network**: none.
**Guardrail**: NO PROSE; do not invent papers; only reference subsection ids and already-mapped papers.
WILLOSCAR/research-units-pipeline-skills 377
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bias-assessor
Add bias/risk-of-bias assessment fields to an extraction table and populate them consistently.
**Trigger**: bias, risk-of-bias, RoB, evidence quality, 偏倚评估, 证据质量.
**Use when**: systematic review 已生成 `papers/extraction_table.csv`，需要在 synthesis 前补齐偏倚/质量字段。
**Skip if**: 不是 systematic review，或还没有 `papers/extraction_table.csv`。
**Network**: none.
**Guardrail**: 使用简单可复核刻度（low/unclear/high）+ 简短 notes；保持字段一致性。
WILLOSCAR/research-units-pipeline-skills 377
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arxiv-search
Retrieve paper metadata from arXiv using keyword queries and save results as JSONL (`papers/papers_raw.jsonl`).
**Trigger**: arXiv, arxiv, paper search, metadata retrieval, 文献检索, 论文检索, 拉取元数据, 离线导入.
**Use when**: 需要一个初始论文集合（survey/snapshot 的 Stage C1），来源为 arXiv（在线检索或离线导入 export）。
**Skip if**: 已经有可用的 `papers/papers_raw.jsonl`，或数据源不是 arXiv。
**Network**: 在线检索需要网络；离线 `--input <export.*>` 不需要网络。
**Guardrail**: 只做 metadata；不要在 `output/` 写长 prose。
WILLOSCAR/research-units-pipeline-skills 377
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artifact-contract-auditor
Audit the workspace against the pipeline artifact contract (DONE outputs + pipeline target_artifacts).
Writes `output/CONTRACT_REPORT.md`.
**Trigger**: contract audit, artifact contract, missing artifacts, target_artifacts, CONTRACT_REPORT.
**Use when**: you want an auditable PASS/FAIL view of whether a workspace is complete and self-contained (end of run or before sharing).
**Skip if**: you are still intentionally mid-run and don’t care about completeness yet (but it’s still useful as a snapshot).
**Network**: none.
**Guardrail**: analysis-only; do not edit content artifacts; only write the report.
WILLOSCAR/research-units-pipeline-skills 377
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argument-selfloop
Argument self-loop: maintain an argument ledger + premise consistency report for drafted sections.
**Trigger**: argument self-loop, argument chain, premise consistency, section self-check, paragraph contract, 论证自循环, 论证链路, 前提一致性, 段落论证动作.
**Use when**: you are in C5 (PROSE allowed), `sections/*.md` exist, and you want to prevent “smooth but hollow” writing by enforcing argument moves + premise hygiene before merge.
**Skip if**: you are pre-C2 (NO PROSE), or evidence packs are scaffolded/thin (route upstream to `evidence-selfloop` first).
**Network**: none.
**Guardrail**: do not invent facts; do not add/remove/move citation keys; do not move citations across subsections; the argument ledger is an intermediate artifact and must never be inserted into the paper.
WILLOSCAR/research-units-pipeline-skills 377