llamaindex-agent
LlamaIndex agent and query engine setup for RAG-powered agents
npx skills add majiayu000/claude-skill-registry --skill llamaindex-agent --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# LlamaIndex Agent Skill ## Capabilities - Set up LlamaIndex query engines - Configure ReAct agents with tools - Implement OpenAI function calling agents - Design sub-question query engines - Set up multi-document agents - Implement chat engines with memory ## Target Processes - rag-pipeline-implementation - knowledge-base-qa ## Implementation Details ### Agent Types 1. **ReActAgent**: Reasoning and acting agent 2. **OpenAIAgent**: Function calling agent 3. **StructuredPlannerAgent**: Plan-and-execute style 4. **SubQuestionQueryEngine**: Complex query decomposition ### Query Engine Types - VectorStoreIndex query engine - Summary index query engine - Knowledge graph query engine - SQL query engine ### Configuration Options - LLM selection - Tool definitions - Memory configuration - Verbose/debug settings - Query transform modules ### Best Practices - Appropriate index selection - Clear tool descriptions - Memory for multi-turn - Monitor query performance ### Dependencies - llama-index - llama-index-agent-openai
- Capabilities
- Target Processes
- Implementation Details
- Agent Types
- Query Engine Types
- Configuration Options
- Best Practices
- Dependencies
What does the llamaindex-agent skill do?
LlamaIndex agent and query engine setup for RAG-powered agents
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill llamaindex-agent --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.