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agents-llamaindex SKILL.md skillA

agents-llamaindex from davila7/claude-code-templates is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned

mdr add davila7/claude-code-templates/agents-llamaindex@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade: A, 17 of 17 checks passed
Kind: SKILL.md skill
Repository: davila7/claude-code-templates
Path: cli-tool/components/skills/ai-research/agents-llamaindex/SKILL.md
Versions recorded: 3
Latest version: v1.0.0, committed Oct 26, 2026
First version recorded: Jan 8, 2026
Size: 14,751 bytes
Repository stars: 33,152
License: MIT

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.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# 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)

**Use alternatives instead**:
- **LangChain**: More general-purpose, better for agents
- **Haystack**: Production search pipelines
- **txtai**: Lightweight semantic search
- **Chroma**: Just need vector storage

## Quick start

### Installation

```bash
# Starter package (recommended)
pip install llama-index

# Or minimal core + specific integrations
pip install llama-index-core
pip install llama-index-llms-openai
pip install llama-index-embeddings-openai
```

### 5-line RAG example

```python
from llama_index.core import VectorStoreIndex, SimpleDirectoryReader
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint

mdr add davila7/claude-code-templates/agents-llamaindex@sha256:da9d47467763818a

The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

[![mdr](https://markdownregistry.com/badge/art_6bxh6tn3lqcwipyp.svg)](https://markdownregistry.com/a/art_6bxh6tn3lqcwipyp)

6 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, between Jan 8, 2026 and Oct 26, 2026, about one every 145 days.

version	committed	commit	size	audit
v1.0.0 latest	2026-10-26	542e625	14,751 B	A	view · diff
v1.0.0	2026-10-24	13da94c	14,744 B	A	view · diff
v1.0.0	2026-01-08	d9d759e	14,726 B	A	view

Audit of the latest version

A 17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.

pass: Frontmatter block present
pass: Frontmatter declares a name
pass: Frontmatter declares a description
pass: Size between 200 bytes and 200 KB (14751 bytes)
pass: No zero-width or bidi control characters
pass: No instruction hidden inside an HTML comment
pass: No link to an exfiltration or paste host
pass: No credential-shaped string
pass: No instruction to send local credentials anywhere
pass: No text hidden with inline styles
pass: No prompt-injection phrasing
pass: No curl or wget piped into a shell
pass: No recursive delete of root, home or parent
pass: No instruction to read or print local credentials
pass: No base64 blob over 200 characters
pass: No link to a raw IP address
pass: No script tag

Source

GitHub

davila7/claude-code-templates · 33,152 stars · license MIT · pushed 2026-11-06 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_6bxh6tn3lqcwipyp
GET https://markdownregistry.com/api/v1/resolve?ref=davila7/claude-code-templates/agents-llamaindex
GET https://markdownregistry.com/api/v1/blob/da9d47467763818a0b9c2bb1fc73d9a8bfe81d90df95739c0bbd4fb657d9b97c

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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