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python ai web scraper mcp pdf git docker typescript

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701

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academic

397

pdf-text-extractor

Download PDFs (when available) and extract plain text to support full-text evidence, writing `papers/fulltext_index.jsonl` and `papers/fulltext/*.txt`. **Trigger**: PDF download, fulltext, extract text, papers/pdfs, 全文抽取, 下载PDF. **Use when**: `queries.md` 设置 `evidence_mode: fulltext`（或你明确需要全文证据）并希望为 paper notes/claims 提供更强 evidence。 **Skip if**: `evidence_mode: abstract`（默认）；或你不希望进行下载/抽取（成本/权限/时间）。 **Network**: fulltext 下载通常需要网络（除非你手工提供 PDF 缓存在 `papers/pdfs/`）。 **Guardrail**: 缓存下载到 `papers/pdfs/`；默认不覆盖已有抽取文本（除非显式要求重抽）。

WILLOSCAR

research

data-engineering

397

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

data-ai

data-engineering

397

extraction-form

Extract study data into a structured table (`papers/extraction_table.csv`) using the protocol’s extraction schema. **Trigger**: extraction form, extraction table, data extraction, 信息提取, 提取表. **Use when**: systematic review 在 screening 后进入 extraction（C3），需要把纳入论文按字段落到 CSV 以支持后续 synthesis。 **Skip if**: 还没有 `papers/screening_log.csv` 或 protocol 未锁定。 **Network**: none. **Guardrail**: 严格按 schema 填字段；不要在此阶段写 narrative synthesis（那是 `synthesis-writer`）。

WILLOSCAR

data-ai

data-engineering

397

schema-normalizer

Normalize cross-skill JSONL interfaces (ids + titles + citation key formats) so downstream skills do not rely on best-effort joins. **Trigger**: schema normalize, jsonl contract, interface drift, join drift, 字段不一致, schema 规范化. **Use when**: you have generated C2-C4 JSONL artifacts (outline/briefs/bindings/packs/anchors) and want deterministic, stable fields before self-loops/writing. **Skip if**: you are not using the survey pipelines, or the workspace already has a fresh PASS `output/SCHEMA_NORMALIZATION_REPORT.md` for the current artifacts. **Network**: none. **Guardrail**: NO PROSE; deterministic transforms only; do not invent evidence/claims; only fill missing ids/titles from `outline/outline.yml`.

WILLOSCAR

data-ai

sql-databases

397

table-schema

Define evidence-first table schemas for a survey: what each table must answer, row unit, columns, and which evidence-pack fields are required to fill it. **Trigger**: table schema, schema-first tables, table design, 表格 schema, 先 schema 后填充. **Use when**: you want survey tables that are verifiable and fillable before LaTeX (typically Stage C4, after evidence packs exist). **Skip if**: `outline/table_schema.md` already exists and is refined (covers both index tables and Appendix tables; no placeholders; evidence mapping is explicit). **Network**: none. **Guardrail**: no invented facts; schema must be checkable and map each column to an evidence source.

WILLOSCAR

databases

cicd

397

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

devops

cicd

397

research-pipeline-runner

Run this repo’s Units+Checkpoints research pipelines end-to-end (survey/综述/review/调研/教程/系统综述/审稿), with workspaces + checkpoints. **Trigger**: run pipeline, kickoff, 继续执行, 自动跑, 写一篇, survey/综述/review/调研/教程/系统综述/审稿. **Use when**: 用户希望端到端跑流程（创建 `workspaces/<name>/`、生成/执行 `UNITS.csv`、遇到 HUMAN checkpoint 停下等待）。 **Skip if**: 用户明确要手工逐条执行（用 `unit-executor`），或你不应自动推进到 prose 阶段。 **Network**: depends on selected pipeline (arXiv/PDF/citation verification may need network; offline import supported where available). **Guardrail**: 必须尊重 checkpoints（无 Approve 不写 prose）；遇到 HUMAN 单元必须停下等待；禁止在 repo root 创建 workspace 工件。

WILLOSCAR

devops

technical-docs

397

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。

WILLOSCAR

documentation

education

397

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。

WILLOSCAR

documentation

education

397

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

documentation

education

397

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

documentation

knowledge-base

397

taxonomy-builder

Build a 2+ level taxonomy (`outline/taxonomy.yml`) from a core paper set and scope constraints, with short descriptions per node. **Trigger**: taxonomy, taxonomy builder, 分类, 主题树, taxonomy.yml. **Use when**: survey/snapshot 的结构阶段（NO PROSE），已有 `papers/core_set.csv`，需要生成可映射且读者友好的主题结构。 **Skip if**: 已经有批准过且可映射的 taxonomy（不要无意义重构）。 **Network**: none. **Guardrail**: 避免泛化占位桶；保持 2+ 层且每节点有具体描述。

WILLOSCAR

documentation

knowledge-base

397

evidence-selfloop

Evidence self-loop for surveys: read evidence bindings + evidence packs, then write an actionable upstream TODO plan (which stage/skill to fix) before writing more prose. Writes `output/EVIDENCE_SELFLOOP_TODO.md`. **Trigger**: evidence self-loop, evidence loop, evidence gaps, binding gaps, blocking_missing, 证据自循环, 证据缺口回路. **Use when**: C4 outputs exist (`outline/evidence_bindings.jsonl`, `outline/evidence_drafts.jsonl`) but writing looks hollow or C5 is BLOCKED due to thin evidence. **Skip if**: you are still pre-C3 (no notes/evidence bank yet), or you want to draft anyway and accept a lower evidence bar. **Network**: none. **Guardrail**: analysis-only; do not edit evidence/writing artifacts; do not invent facts/citations; only write the TODO report.

WILLOSCAR

documentation

knowledge-base

397

terminology-normalizer

Normalize terminology across a draft (canonical terms + synonym policy) without changing citations or meaning. **Trigger**: terminology, glossary, consistent terms, 术语统一, 统一叫法, 术语表. **Use when**: the draft has concept drift (same thing called 2–3 names) or global-review flags terminology inconsistency. **Skip if**: you are still changing the outline/taxonomy heavily (do that first). **Network**: none. **Guardrail**: do not add/remove citation keys; do not introduce new claims; avoid moving citations across subsections.

WILLOSCAR

documentation

academic

397

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

academic

397

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

academic

397

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

academic

397

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

academic

397

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

academic

397

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

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