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Fetch paper metadata from lightweight academic sources like arXiv and save normalized paper JSON records.
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
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/.