FreeSkills
Commits, branches and sync with the but CLI
- 361361 downloads
- 198198 likes
- 103103 saves
Works with
- Claude Code
- Codex
- Cursor
- and 3 more
RAG applications with LlamaIndex 0.12 v1.0.0
Use this resource to build a RAG or an agent with LlamaIndex
New
- 557 downloads
- 181 likes
- 171 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install llamaindex-rag-pipelineWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent sets global settings (LLM, embeddings, chunk size), writes the ingestion pipeline with caching and deduplication, then creates the vector index and query engine, with routing or sub-questions if needed. You get a working LlamaIndex application.
Mostly picked by
Updated November 2, 2026
Previews
Details
- Install guides
- Generates with
- Your agent's model
- Licence
- MIT
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What you get
- SKILL.md: global settings, documents and nodes, ingestion pipeline and parsers
- SKILL.md: vector index, query engine, sub-question engine, router engine and property graph index
Good fit for
- You want to index documents with a cached pipeline
- You are comparing LlamaIndex and LangChain for your RAG
Not for
Tags
- llamaindex
- rag
- index
- ingestion
About
You say
“Index my folder of PDFs with LlamaIndex and answer questions with Claude.”
Skill published by claude-dev-suite under the MIT license, delivered in its original version.
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How to use it
- Install the skill in your agent's skills folder
- Ask your agent to build a RAG or an agent with LlamaIndex
- Review and adjust the result
Content preview
Files
- LICENSE1.1 KB
- NOTICE-PALATEKIT.md0.5 KB
- SKILL.md9.7 KB
Origin and licence
Listed unmodified
- Author
- claude-dev-suite
- Source
- github.com/claude-dev-suite/claude-dev-suite/tree/e10ab644ba43abe2abc923399226df4af7337214/skills/rag-frameworks/llamaindex
- Licence
- MIT
Notice
« llamaindex » (claude-dev-suite, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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