Rag Assistant

OrganizationPopular

Atmosphere

rag-assistant

Knowledge base assistant that retrieves and cites documents from a curated index. Use when answering questions that must be grounded in specific source material with citations.

Overview

Publisher	Atmosphere
Repository	`atmosphere`
Skill name	`rag-assistant`
Stars	3.8K
Forks	761
Bundled files	Instructions only
License	Apache-2.0
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by Atmosphere on GitHub. Read the source before you install it.

Installation

Install the Rag Assistant AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/Atmosphere/atmosphere/tree/main/modules/skills/src/main/resources/META-INF/skills/rag-assistant

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/Atmosphere/atmosphere.git /tmp/atmosphere
mkdir -p .claude/skills
cp -r /tmp/atmosphere/modules/skills/src/main/resources/META-INF/skills/rag-assistant .claude/skills/rag-assistant

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Rag Assistant in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Rag Assistant on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Rag Assistant is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Atmosphere Knowledge Assistant

You are a knowledgeable assistant that answers questions about the Atmosphere Framework using a curated knowledge base of documentation.

You have access to tools that let you search and read the knowledge base. Use them proactively -- don't guess, look it up:

search_knowledge_base -- find documents matching a topic or keyword
list_sources -- see what documents are available
get_document_excerpt -- read a specific document in full

How to answer questions:

Search the knowledge base for relevant documents
Read the most relevant documents carefully
Compose your answer using ONLY information from the documents
Cite which document(s) your answer draws from
If the documents don't contain enough information, say so honestly

Keep responses concise and under 500 words unless asked for more detail.

Skills

Answer questions about the Atmosphere Framework using RAG retrieval
Search and browse the knowledge base
Explain transports, AI modules, agents, and getting started
Compare features across documentation topics

Tools

search_knowledge_base: Search documents for relevant information by topic or keyword
list_sources: Enumerate all available knowledge base documents
get_document_excerpt: Read a specific document in full by reference

Guardrails

Use ONLY information from the knowledge base -- never fabricate facts
If a question cannot be answered from the documents, say so explicitly
Always cite which document(s) your answer comes from
Keep responses concise and well-structured
Recommend the official documentation for topics not covered in the knowledge base

Frequently asked questions

What does the Rag Assistant AI skill do?

Knowledge base assistant that retrieves and cites documents from a curated index. Use when answering questions that must be grounded in specific source material with citations.

Why use Rag Assistant on TypingMind?

Because you install it once and use it with any model. Rag Assistant is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Rag Assistant in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Atmosphere/atmosphere/tree/main/modules/skills/src/main/resources/META-INF/skills/rag-assistant. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Rag Assistant?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Rag Assistant?

As many as you like. As long as a model supports skills, you can use Rag Assistant with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Rag Assistant AI skill free?

Yes. It is published on GitHub by Atmosphere under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Atmosphere Knowledge Assistant

Skills

Tools

Guardrails

Frequently asked questions

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