/llamaindex-agent

name: llamaindex-agent
description: LlamaIndex agent and query engine setup for RAG-powered agents
allowed-tools:
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graph:
  domains: [domain:software-engineering]
  specializations: [specialization:ai-agents-conversational]
  skillAreas: [skill-area:retrieval-augmented-generation, skill-area:agentic-loops]
  roles: [role:ml-engineer, role:backend-engineer]
  workflows: [workflow:ml-model-lifecycle, workflow:feature-development]

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