What problem does it solve?
When ingesting academic papers into a research wiki via literature ingestion skills, each paper is created as a bare scaffold with 10 empty TODO sections that require manual reading and summarization to complete. This skill eliminates that tedious manual work by automatically populating all empty sections with accurate, source-faithful content.
Core Features & Use Cases
- Automated Section Filling: Populates all 10 fillable TODO sections (including one-line thesis, problem/gap, method, key results, and more) on scaffolded research wiki paper pages.
- Graceful Content Fetching: Uses a prioritized 5-source fallback chain (alphaxiv, deepxiv, arXiv API, etc.) to retrieve paper content without manual lookup, degrading gracefully if a source is unavailable.
- Protected Section Preservation: Never modifies auto-generated Connections sections or immutable original abstract blocks, and respects project context from research briefs and gap maps for relevance sections.
- Use Case: After running a batch literature ingest for your research wiki, use this skill to automatically fill all paper entry TODOs instead of reading each paper individually.
Quick Start
Invoke the wiki-enrich skill to automatically populate all empty TODO sections in your research wiki's paper entries after a batch literature ingest.