llamaindex
Data framework for building LLM applications with RAG. Specializes in document ingestion (300+ connectors), indexing, and querying. Features vector indices, query engines, agents, and multi-modal support. Use for document Q&A, chatbots, knowledge retrieval, or building RAG pipelines. Best for data-centric LLM applications.
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Install
armory install llamaindex --cli claudewrites the skill into.claude/skills/llamaindex/SKILL.mdListed as compatible
# fetches the source and writes it to:
.claude/skills/llamaindex/SKILL.mdNeeds the armory CLI · not on npm yet, build it from cli/ in the repository
What it is
Data framework for building LLM applications with RAG. Specializes in document ingestion (300+ connectors), indexing, and querying. Features vector indices, query engines, agents, and multi-modal support. Use for document Q&A, chatbots, knowledge retrieval, or building RAG pipelines. Best for data-centric LLM applications.
When to use it
Data framework for building LLM applications with RAG. Specializes in document ingestion (300+ connectors), indexing, and querying. Features vector indices, query engines, agents, and multi-modal support. Use for document Q&A, chatbots, knowledge retrieval, or building RAG pipelines. Best for data-centric LLM applications.
How to install / invoke
# Copy the skill into your .claude/skills/ directory
curl -sL https://raw.githubusercontent.com/davila7/claude-code-templates/main/cli-tool/components/skills/ai-research/agents-llamaindex/SKILL.md -o .claude/skills/agents-llamaindex/SKILL.md
Notes
Extracted from davila7/claude-code-templates, agents-llamaindex category.