Individual skill
wiki-enrich
Fill in the per-paper TODO sections of research-wiki/papers/<slug>.md pages that literature-ingest skills leave as bare scaffolds. Use when user says 'enrich wiki', 'fill paper TODOs', 'wiki body 補完', '把 paper 摘要寫進 wiki', 'research-wiki 自動填', or after a batch ingest that left papers/ as TODO scaffolds.
skills/wiki-enrich/SKILL.md
Source commit 2901234ad2954cd2388ced8d3aed2ed9de42803a
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- Matches the observed repository HEAD
- Yes
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- Yes
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- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
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Repository context
- Repository stars (not skill ratings)
- 18,965
- Repository last updated
- Nov 8, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai-research Repository topic
- autonomous-agent Repository topic
- claude-code Repository topic
- codex Repository topic
- mcp Repository topic
- ml-research Repository topic
- paper-review Repository topic
- research-automation Repository topic
- ai-tools Repository topic
- claude Repository topic
- research Derived category
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Read excerpt
# Wiki Enrich: Fill Paper TODO Sections (Karpathy LLM-Wiki)
Target: **$ARGUMENTS**
## Why this skill exists
`ingest_paper` (called by `/research-lit`, `/arxiv`, `/alphaxiv`, `/deepxiv`, `/semantic-scholar`, `/exa-search`, `/firecrawl-search`) only renders the per-paper scaffold — frontmatter + abstract + **10 fillable** `_TODO._` placeholder sections (plus two protected sections: `## Connections` is graph-summary and `## Abstract (original)` is auto-populated when `--arxiv-id` is given). No downstream skill in ARIS fills those 10 sections; the wiki sits as TODO until someone reads each paper.
This contradicts the Karpathy LLM-wiki design (https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f):
> "You never (or rarely) write the wiki yourself — the LLM writes and maintains all of it. … The tedious part of maintaining a knowledge base is not the reading or the thinking — it's the bookkeeping. … LLMs don't get bored, don't forget to update a cross-reference, and can touch 15 files in one pass."
`/wiki-enrich` is the missing back half of `ingest_paper`: it reads each scaffolded paper page, fetches paper content from external sources via a graceful fallback chain (see Phase 2.3 for the full 5-source chain), and rewrites the 10 fillable TODO sections into 1-3 sentence prose summaries.