LlamaIndex

by davila7

LlamaIndex is an AI Engineering skill for Claude Code, published by davila7 in claude-code-templates.

30.2K stars3.4K forkson davila7/claude-code-templatesAdded 2026/08/14Repository updated 2026/08/14

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anthropicanthropic-claudeclaudeclaude-code

Install in seconds

Install LlamaIndex

Copy LlamaIndex into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/ai-research/agents-llamaindex ~/.claude/skills/agents-llamaindex

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/davila7/claude-code-templates.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: cli-tool/components/skills/ai-research/agents-llamaindex/SKILL.md in davila7/claude-code-templates
Installs to: ~/.claude/skills/agents-llamaindex
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What LlamaIndex does

LlamaIndex is a data framework for building LLM applications with RAG, specializing in document ingestion, indexing, and querying. Use it for document Q&A, chatbots, knowledge retrieval, and building RAG pipelines over private data.

LlamaIndex is cataloged under AI Engineering on DirSkills. LlamaIndex comes from a repository tagged anthropic, anthropic-claude, claude and claude-code.

Documentation

README

Excerpt

LlamaIndex - Data Framework for LLM Applications

The leading framework for connecting LLMs with your data.

When to use LlamaIndex

Use LlamaIndex when:

Building RAG (retrieval-augmented generation) applications
Need document question-answering over private data
Ingesting data from multiple sources (300+ connectors)
Creating knowledge bases for LLMs
Building chatbots with enterprise data
Need structured data extraction from documents

Metrics:

45,100+ GitHub stars
23,000+ repositories use LlamaIndex
300+ data connectors (LlamaHub)
1,715+ contributors
v0.14.7 (stable)

This is the opening of the README. Read the full README on GitHub.

Frequently asked about LlamaIndex

What else does davila7 publish alongside LlamaIndex?
LlamaIndex is one of 25 skills that DirSkills catalogs from davila7/claude-code-templates, the repository it ships in. Its siblings there include AI Agents Architect, Agent Evaluation and Agent Management. Each one is a separate skill with its own page in this directory, installs the same way LlamaIndex does, and is maintained by davila7 in that same repository. The rest of the collection is listed on the davila7/claude-code-templates page.
How does LlamaIndex compare to other AI Engineering skills?
LlamaIndex ranks #209 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of LlamaIndex against them. Open each page to compare what they document and how they install.