القائمة
Build a lightweight local vector-style index record from normalized paper data.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
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.
Write lightweight graph edges from normalized paper entities into a local graph store.
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-index |
| description | Build a lightweight local vector-style index record from normalized paper data. |
| metadata | {"openclaw":{"emoji":"🗂️","requires":{"bins":["python3"]}}} |
Use this skill after paper-normalize when the user wants the paper added to the lightweight retrieval index.
Workflow
python3 /root/openclaw-dev/workspace/scripts/index_paper.py <normalized_json_path>/root/openclaw-dev/workspace/data/index/vector_index.jsonlNotes