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Write lightweight graph edges from normalized paper entities into a local graph store.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
| 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.