What problem does it solve?
This Skill enforces a mandatory pre-delivery checklist to catch inconsistencies and missing elements before presenting results to users, ensuring accountability and traceability in scholarly work.
Core Features & Use Cases
- Terminology consistency: verify all key terms are used consistently across the document.
- Citation integrity: ensure every citation/label has a corresponding reference entry.
- Data accuracy: confirm numbers, dates and values match the original data sources.
- Figure numbering: maintain sequential figure/table numbering and correct in-text references.
- Internal cross-references: verify all section/figure/table references exist and are reachable.
- Word count / format compliance: conform to required length, style, and formatting guidelines.
- Todo remnants: detect and remove any TODO/FIXME placeholders.
- AIGC pattern check: run automated assessment to identify and fix AI-generated writing patterns.
- Argument consistency: ensure core claims and hypotheses remain aligned across sections.
- Change summary: summarize the modification scope for quick audit.
Quick Start
Run the hard-checklist before declaring completion to ensure terminology, citations, data, and references are all correct and up-to-date.