Management of local knowledge, embeddings, and information retrieval (RAG)
npx skills add https://github.com/hongluu92/research-kit --skill knowledge-base复制此命令并粘贴到 Claude Code 中以安装该技能
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")