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Build, query, and visualize literature relationship clusters using Kuzu and Cypher.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | paper-cluster |
| description | Build, query, and visualize literature relationship clusters using Kuzu and Cypher. |
| requires | {"bins":["/root/openclaw-dev/envs/academic-embed/bin/python"]} |
Use this skill when the user wants to build or inspect a literature graph, run Cypher over paper and entity relationships, or render a paper cluster visualization.
/root/openclaw-dev/data//root/openclaw-dev/data/kuzu/academic_graph/root/openclaw-dev/data/visualizations//root/openclaw-dev/data/queries/last_query.jsonIngest one normalized paper:
/root/openclaw-dev/envs/academic-embed/bin/python /root/openclaw-dev/workspace/scripts/graph_engine.py ingest /root/openclaw-dev/workspace/data/normalized/2312.10793v3.json
Run a Cypher query directly:
/root/openclaw-dev/envs/academic-embed/bin/python /root/openclaw-dev/workspace/scripts/graph_engine.py query "MATCH (p:Paper)-[:MENTIONS]->(e:Entity) RETURN p.id AS paper_id, e.name AS entity LIMIT 10"
Render a paper cluster visualization:
/root/openclaw-dev/envs/academic-embed/bin/python /root/openclaw-dev/workspace/scripts/graph_engine.py visualize "MATCH (p:Paper)-[:MENTIONS]->(e:Entity) RETURN p.id AS source, 'Paper' AS source_label, 'MENTIONS' AS rel_type, e.name AS target, 'Entity' AS target_label LIMIT 50" --output-name paper-cluster-demo.png
query expects a Cypher string that has already been produced from user intent.visualize expects query output columns named: source, source_label, rel_type, target, target_label.Fetch paper metadata from lightweight academic sources like arXiv and save normalized paper JSON records.
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.