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Write lightweight graph edges from normalized paper entities into a local graph store.
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
| name | paper-graph |
| description | Write lightweight graph edges from normalized paper entities into a local graph store. |
| metadata | {"openclaw":{"emoji":"🕸️","requires":{"bins":["python3"]}}} |
Use this skill after paper-normalize when the user wants the paper represented in the lightweight graph layer.
Workflow
python3 /root/openclaw-dev/workspace/scripts/write_graph.py <normalized_json_path>/root/openclaw-dev/workspace/data/graph/graph.jsonlNotes
Build, query, and visualize literature relationship clusters using Kuzu and Cypher.
Fetch paper metadata from lightweight academic sources like arXiv and save normalized paper JSON records.
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.