LlamaIndex Agent Skill

SkillAI & models

LlamaIndex agent and query engine setup for RAG-powered agents

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the LlamaIndex Agent Skill skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/ai-agents-conversational/skills/llamaindex-agent/SKILL.md and read by ahel’s review.

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

ReActAgent: Reasoning and acting agent
OpenAIAgent: Function calling agent
StructuredPlannerAgent: Plan-and-execute style
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

Signals

GitHub stars: 2k
Forks: 112
Last commit: Sep 2026

Advanced

Item type: skill
Key: llamaindex-agent
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter