From llm-wiki
Research academic papers from arXiv, DOI, or Semantic Scholar and ingest into raw/academic/. Invoked by wiki-research for paper requests.
npx claudepluginhub skinnnyjay/wiki-llm --plugin llm-wikiThis skill uses the workspace's default tool permissions.
Fetches academic papers and metadata from arXiv, DOI resolvers, or Semantic Scholar into `raw/academic/`. Use this sub-skill when the input contains an arXiv ID, DOI, or phrases like "paper", "preprint", "study", "literature review".
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Fetches academic papers and metadata from arXiv, DOI resolvers, or Semantic Scholar into raw/academic/. Use this sub-skill when the input contains an arXiv ID, DOI, or phrases like "paper", "preprint", "study", "literature review".
| Input signal | Action |
|---|---|
arXiv ID (e.g. 2301.12345 or https://arxiv.org/abs/2301.12345) | Fetch via arXiv API |
DOI (e.g. 10.1145/3442188.3445922) | Resolve via DOI → fetch landing page with wiki-research-web |
| Author + title search | Query arXiv API or Semantic Scholar search |
| Semantic Scholar URL | Fetch via Semantic Scholar API |
Fetch metadata:
curl "https://export.arxiv.org/api/query?id_list=<ARXIV_ID>&max_results=1" > /tmp/arxiv.xml
Parse from XML: <title>, <author>, <published>, <summary> (abstract), <id> (canonical URL), <link> (PDF).
Fetch full paper (HTML version, preferred over PDF):
llm-wiki ingest firecrawl "https://arxiv.org/html/<ARXIV_ID>" \
--out academic/<year>/<arxiv-id>.md
# Fallback to abstract page if HTML not available:
llm-wiki ingest firecrawl "https://arxiv.org/abs/<ARXIV_ID>" \
--out academic/<year>/<arxiv-id>.md
Search by keyword:
curl "https://export.arxiv.org/api/query?search_query=all:<QUERY>+AND+cat:cs.AI&max_results=10&sortBy=relevance" > /tmp/arxiv_search.xml
See skills/wiki-research/references/query-design.md for query construction.
# Resolve DOI to landing URL
curl -sI "https://doi.org/<DOI>" | grep -i location
# Then fetch the landing URL with wiki-research-web
# Search
curl "https://api.semanticscholar.org/graph/v1/paper/search?query=<QUERY>&fields=title,authors,year,abstract,externalIds,openAccessPdf" > /tmp/s2.json
# Fetch by arXiv ID
curl "https://api.semanticscholar.org/graph/v1/paper/arXiv:<ARXIV_ID>?fields=title,authors,year,abstract,citationCount,references" > /tmp/s2_paper.json
Output path: raw/academic/<year>/<arxiv-id-or-slug>.md
For non-arXiv papers, use: raw/academic/<year>/<first-author-last-name>-<short-title>.md
Required frontmatter:
---
title: "<Paper Title>"
source_type: academic
source_url: https://arxiv.org/abs/<id>
fetched_date: YYYY-MM-DD
arxiv_id: "2301.12345" # omit if not arXiv
doi: "10.xxxx/..." # omit if not known
authors:
- "First Author"
- "Second Author"
year: YYYY
venue: "NeurIPS 2024" # conference/journal if known
abstract: |
<abstract text>
---
<full paper content or abstract + key sections>
For important papers, optionally fetch:
citations endpointsite:news.ycombinator.com <paper title> via wiki-research-social<paper title> explained via wiki-research-webLimit to 2–3 supplementary sources to avoid scope creep.
Run each file through skills/wiki-research/references/source-eval.md. Then return to wiki-research Step 3 (post-process).
Wiki citation format:
Chain-of-thought prompting improves multi-step reasoning (Wei et al., 2022 — `raw/academic/2022/wei-chain-of-thought.md`).
raw/academic/ with structured frontmatter; source-eval applied.| Symptom | Fix |
|---|---|
| arXiv HTML 404 | Paper predates HTML rendering; use /abs/ page or fetch PDF with marker adapter |
| arXiv API returns no results | Try broader query; remove category filter |
| DOI redirect loop | Try https://unpaywall.org/<DOI> for open-access version |
| Semantic Scholar rate limit (429) | Wait 60s; S2 public API allows ~100 req/5min |
| PDF only (no HTML) | Use llm-wiki ingest marker <PDF_PATH> if marker is installed |
llm-wiki integrations status and any llm-wiki line from Step 1 of this skill (from the vault root).