agents-llamaindex SKILL.md skillA
agents-llamaindex from aicodedecode/awesome-muse-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add aicodedecode/awesome-muse-skills/agents-llamaindex@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- aicodedecode/awesome-muse-skills
- Path
skills-imported/agents-llamaindex/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0.0, committed Sep 27, 2026
- Size
- 14,733 bytes
- Repository stars
- 25
- 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
mdr add aicodedecode/awesome-muse-skills/agents-llamaindex@sha256:c25214e0670107feThe 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.
[](https://markdownregistry.com/a/art_xvooiwx2ocprvryv)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 27, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (14733 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
aicodedecode/awesome-muse-skills · 25 stars · license MIT · pushed 2026-10-10 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_xvooiwx2ocprvryv GET https://markdownregistry.com/api/v1/resolve?ref=aicodedecode/awesome-muse-skills/agents-llamaindex GET https://markdownregistry.com/api/v1/blob/c25214e0670107fe204103c2e39b1a01c7a05e0615b6765316ffd6dd1d91cee9
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.