Fetch external metadata and generate structured summaries for research paper wiki TODO sections.
npx skills add https://github.com/dogekiki/SP-test --skill wiki-enrich-dogekiki
Please help me install this Agent Skill. Skill: wiki-enrich Source: https://github.com/dogekiki/SP-test/tree/main/.trae/skills/wiki-enrich Command: npx skills add https://github.com/dogekiki/SP-test --skill wiki-enrich-dogekiki
This skill solves the problem of incomplete research wikis by automatically populating TODO sections in paper scaffolds with high-quality, LLM-generated summaries and technical insights.
Invoke the wiki-enrich skill to automatically fill all pending TODO sections across your research wiki papers.
High-intent search queries and answers about installing and using this skill.
Automating research paper summaries involves fetching external metadata from arXiv and generating structured LLM summaries to populate TODO sections in paper scaffolds. It operates on research-wiki directories to maintain a consistent knowledge base.
The best way to populate TODO sections is by automatically fetching paper abstracts and methodology from sources like arXiv, alphaxiv, and deepxiv. This skill integrates project-specific context from research briefs and gap maps to ensure relevance.
Context-aware enrichment works by integrating project-specific context from research briefs and gap maps during paper summarization. This ensures generated summaries maintain relevance to specific research goals.
You need web-fetching tools to automate arXiv paper summaries. This skill requires access to web-fetching tools and local file editing capabilities to ensure accurate, non-hallucinated documentation of research literature.
You can use this skill to maintain a knowledge base from alphaxiv sources. It fetches paper details from multiple sources like arXiv, alphaxiv, and deepxiv to fill 10 specific research-oriented sections.
Wiki automation requires local file editing capabilities to directly modify research-wiki directories and update paper scaffolds. This ensures accurate, non-hallucinated documentation by writing fetched metadata directly into structured files.
goupup-aiPopulate empty TODO sections in research wiki paper scaffolds.
andrehuangMap research papers into a per-topic wiki workspace with references.bib.
wulaosijiCreate Feishu documents in cloud drive or knowledge base with content and permissions.
peteromalletSearch arXiv papers and retrieve metadata, abstracts, and BibTeX entries.
