Management of local knowledge, embeddings, and information retrieval (RAG)
npx skills add https://github.com/hongluu92/research-kit --skill knowledge-base이 명령을 Claude Code에 복사하여 붙여넣어 스킬을 설치하세요
Autonomous task execution cycle: Plan -> Research -> Prototype -> Evaluate -> Report
Methodologies for rapidly building software proofs-of-concept
Writing engaging yet rigorous academic text and generating reports
Techniques for querying academic databases (ArXiv, Semantic Scholar, PubMed) and code repositories (GitHub)
Standards for academic citation and findings connected papers
Standards for version control, commit messages, and branching strategy
| name | knowledge-base |
| description | Management of local knowledge, embeddings, and information retrieval (RAG) |
This skill provides capabilities for storing, indexing, and retrieving information from collected research papers and documents. It enables the agents to "remember" details from papers they have read.
Agents should use the rag_engine.py script to interact with the knowledge base.
from rag_engine import KnowledgeBase
kb = KnowledgeBase()
kb.ingest(text="...", metadata={"title": "..."})
results = kb.search("query")