llamaindex SKILL.md skillA

llamaindex from orchestra-research/ai-research-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add orchestra-research/ai-research-skills/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
orchestra-research/ai-research-skills
Path
14-agents/llamaindex/SKILL.md
Versions recorded
5
Latest version
v1.0.0, committed Nov 20, 2025
First version recorded
Nov 10, 2025
Size
14,726 bytes
Repository stars
13,718
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 orchestra-research/ai-research-skills/llamaindex@sha256:a603d319831beb1e

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 badge

[![mdr](https://markdownregistry.com/badge/art_wzdrf6cozuw56nzu.svg)](https://markdownregistry.com/a/art_wzdrf6cozuw56nzu)

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

Versions

The registry has recorded 5 versions of this file, between Nov 10, 2025 and Nov 20, 2025, about one every 3 days.

versioncommittedcommitsizeaudit
v1.0.0 latest2025-11-20 0a9ded4 14,726 BA view · diff
v1.0.02025-11-20 51fc3a3 14,718 BA view · diff
v1.0.02025-11-20 81c38fe 14,717 BA view · diff
v1.0.02025-11-19 bd4461f 14,716 BA view · diff
git:20251110.3e582ed2025-11-10 3e582ed 14,468 BA 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 (14726 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

orchestra-research/ai-research-skills · 13,718 stars · license MIT · pushed 2026-10-11 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_wzdrf6cozuw56nzu
GET https://markdownregistry.com/api/v1/resolve?ref=orchestra-research/ai-research-skills/llamaindex
GET https://markdownregistry.com/api/v1/blob/a603d319831beb1e46efd9299532b2462ee0d0cf01d7aa8928bd21763a3d9760

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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Every file in orchestra-research/ai-research-skills

Other files named llamaindex

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