llamaindex
"Data framework for building LLM applications with RAG. Specializes in document ingestion (300+ connectors), indexing, and querying. Features vector indices, query engines, agents, and multi-modal support. Use for document Q&A, chatbots, knowledge retrieval, or building RAG pipelines. Best for data-centric LLM applications."
Third-Party Agent Skill: Review the code before installing. Agent skills execute in your AI assistant's environment and can access your files. Learn more about security
Installation for Agentic Skill
View all platforms →skilz install zechenzhangAGI/AI-research-SKILLs/llamaindex skilz install zechenzhangAGI/AI-research-SKILLs/llamaindex --agent opencode skilz install zechenzhangAGI/AI-research-SKILLs/llamaindex --agent codex skilz install zechenzhangAGI/AI-research-SKILLs/llamaindex --agent gemini
First time? Install Skilz: pip install skilz
Works with 14 AI coding assistants
Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...
Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/zechenzhangAGI/AI-research-SKILLs cp -r AI-research-SKILLs/14-agents/llamaindex ~/.claude/skills/ Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Owner
- zechenzhangAGI (GitHub)
- Repository
- AI-research-SKILLs
- Type
- Technical
- Meta-Domain
- data ai
- Primary Domain
- database
- Market Score
- 26.2
Browse Category
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