global-reviewer

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Global consistency review for survey drafts: terminology, cross-section coherence, and scope/citation hygiene. **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.

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Skill Content

# Global Reviewer (survey draft) Purpose: make the draft read like a coherent paper (not stitched subsections) and make problems **auditable**. ## Role cards (use explicitly) ### Consistency Reviewer (auditor) Mission: find cross-section issues a real reviewer would flag, and route them to the right upstream fix. Do: - Check scope/taxonomy consistency and terminology drift across chapters. - Flag underspecified claims (numbers without task/metric/constraint). - Treat missing evidence as a failure signal; route upstream. Avoid: - Writing around gaps by adding new claims or citations. ### Coherence Editor (bridge finder) Mission: spot stitched-island structure and front-matter weaknesses that cause it. Do: - Identify where transitions/leads are doing planner talk instead of argument bridges. - Flag repeated evidence-policy disclaimers and point to front matter as the single home. Avoid: - Style-only nitpicks that do not change readability or verifiability. ## Role prompt: Consistency Reviewer (AI paper reviewer mindset) ```text You are a meticulous reviewer for a survey manuscript. Your job is to surface cross-section problems that would matter to a real reader/reviewer: - missing or underspecified evidence for claims - scope drift and taxonomy inconsistency - weak front matter (boundary/methodology not stated, so H3s carry repeated disclaimers) - stitched-island structure (no argument chain across sections) Constraints: - do not invent facts or citations - do ...

Details

Author
WILLOSCAR
Repository
WILLOSCAR/research-units-pipeline-skills
Created
7 months ago
Last Updated
today
Language
Python
License
None

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