assimilate-popular-wor…
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Skill
/llamaindex-agent
LlamaIndex agent and query engine setup for RAG-powered agents
Claude Code
$ npx -y skills add a5c-ai/babysitter --skill llamaindex-agent --agent claude-code
Codex
$ npx skills add a5c-ai/babysitter --skill llamaindex-agent -a codex -y
Cursor
$ npx skills add a5c-ai/babysitter --skill llamaindex-agent -a cursor -y
Gemini CLI
$ npx skills add a5c-ai/babysitter --skill llamaindex-agent -a gemini-cli -y
GitHub Copilot
$ npx skills add a5c-ai/babysitter --skill llamaindex-agent -a github-copilot -y
OpenCode
$ npx skills add a5c-ai/babysitter --skill llamaindex-agent -a opencode -y
Windsurf
$ npx skills add a5c-ai/babysitter --skill llamaindex-agent -a windsurf -y
SKILL.md
llamaindex-agent.SKILL.mdname: llamaindex-agent
description: LlamaIndex agent and query engine setup for RAG-powered agents
allowed-tools:
- Read
- Write
- Edit
- Bash
- Glob
- Grep
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
Read more
name: llamaindex-agent description: LlamaIndex agent and query engine setup for RAG-powered agents allowed-tools: - Read - Write - Edit - Bash - Glob - Grep 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
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Questions about llamaindex-agent.
- Which coding agents can use llamaindex-agent?
- llamaindex-agent installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.