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Fetch paper metadata from lightweight academic sources like arXiv and save normalized paper JSON records.
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Basé sur la classification professionnelle SOC
Build, query, and visualize literature relationship clusters using Kuzu and Cypher.
Write lightweight graph edges from normalized paper entities into a local graph store.
Build a lightweight local vector-style index record from normalized paper data.
Normalize extracted paper entities into canonical forms with lightweight audit logs.
Generate a lightweight structured reflection JSON for a single paper record.
Orchestrate the lightweight academic pipeline by chaining paper-fetch, paper-reflect, and paper-normalize.
| name | paper-fetch |
| description | Fetch paper metadata from lightweight academic sources like arXiv and save normalized paper JSON records. |
| metadata | {"openclaw":{"emoji":"📥","requires":{"bins":["python3"]}}} |
Use this skill when the user wants to search papers by topic, keyword, or free-text query.
Workflow
python3 /root/openclaw-dev/workspace/scripts/fetch_papers.py "<query>" --max-results <N>saved_to paths as inputs for later reflectionNotes
/root/openclaw-dev/workspace/data/papers/.