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Llamaindex agent

Skill a5c-ai/babysitter/library/specializations/ai-agents-conversational/skills/llamaindex-agent

Babysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestration

Install
npx -y skills add a5c-ai/babysitter --skill llamaindex-agent

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What its author says it does

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LlamaIndex agent and query engine setup for RAG-powered agents

SKILL.md

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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

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