技能创建器
skill-creator
创建、改进和评估自定义技能,把专业流程转化为可重复使用的 AI 能力。
agri-review【数据与研究】Multi-reviewer peer-review system for agricultural manuscripts. Simulates an editorial panel — a coordinating editor, three domain reviewers (methodology, domain/novelty, integrity/ethics) and a devil's advocate — plus a formatting check against the target journal, all acting as senior agricultural scientists. Same machinery as food-review, including…
独立 GitHub 快照 · 自动分类 · 以原作者文档为准
Run the food-review skill exactly — its panel (review_coordinator,
knowledge_builder, reviewer_methodology, reviewer_domain,
reviewer_integrity, devils_advocate, format_checker), its modes (full ·
quick · methodology · re-review), and its report format — with the agriculture
substitutions in
agri-research/references/agriculture-domain.md.
Read that file first. No new machinery here.
knowledge_builder runs first, unchanged in method:
Pathway A reads the manuscript's cited sources in full and audits whether each
supports its claim; Pathway B reads the field's key literature, ranked as
Tier 1 Q1/Q2 agriculture (journals/_coverage_agriculture.md)
agri-research's full review branch for discovery/screening —
knowledge extraction only, no literature-review article (domain §3).
Inside agri-pipeline with a Stage-1 evidence base: reuse it and top up with
agri-research quick brief key reviews, exactly as food-review does.format_checker audits against the journal resolved once by
journal-selector from the agriculture coverage map (domain §4); APA 7.0 default.The report format (food-review/references/report-format.md: Parts A/B/C, stable
issue IDs, Response (type) taxonomy, editorial decision — Accept · Minor
Revision · Major Revision · Reject with the decisive reasons) and its
Word (.docx) deliverable rule — never Markdown; inside agri-pipeline this is
the single Review & Response Report that agri-paper later fills responses into,
so no separate reviewer report or response letter is created. Also inherited:
editor-query comments placed in the manuscript for fixes needing the author's
data (word-review-comments.md), the AI-writing-tell check (human-writing.md), the
privacy scan, and the rule that a source never retrieved is marked, not
summarized.