Llmquant Etfs

Organization

LLMQuant

llmquant-etfs

Router skill for LLMQuant ETFs workflows. Use when the user needs ETF holdings, overlap, concentration, issuer snapshot, or theme exposure analysis.

Overview

Publisher	LLMQuant
Repository	`skills`
Skill name	`llmquant-etfs`
Stars	234
Forks	30
Bundled files	1
License	MIT
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.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by LLMQuant on GitHub. Read the source before you install it.

Installation

Install the Llmquant Etfs 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.
https://github.com/LLMQuant/skills/tree/master/skills/llmquant-etfs
Enable the skill in any chat where you want it available.

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/LLMQuant/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/llmquant-etfs .claude/skills/llmquant-etfs

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

Use it in TypingMind

Enable Llmquant Etfs 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 Llmquant Etfs 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 Llmquant Etfs 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.

LLMQuant ETFs

This category routes ETF analysis tasks to holdings and exposure workflows.

Routing Rules

Identify the ETF tickers, comparison universe, as-of date, and required output.
Select the closest workflow below.
Open only the selected workflow and required local resources.
Use LLMQuant Data for holdings, fund metadata, prices, and coverage notices.
Report holdings as_of_date, source, stale flags, unsupported tickers, and missing fields.

Workflow Index

User intent	Workflow
Compare ETF holdings, overlap, concentration, and exposure.	`workflows/etf-overlap-report.md`

LLMQuant Data Contract

Prefer LLMQuant Data when available. The workflows may need these data capabilities:

Look up ETF identity, issuer, category, expense ratio, market price, NAV, and coverage status.
Retrieve ETF holdings with weights, identifiers, sectors, countries, source, and holdings as-of date.
Compare ETF holdings overlap, top-name concentration, and exposure breakdowns.
Retrieve price history, fund-flow history, and sector exposure history when available.

Fallback:

If holdings coverage is unsupported, report the unsupported ticker and the ETF identifiers needed.
If LLMQuant Data or a compatible data MCP is unavailable, ask the user for issuer holdings files or holdings tables.
Do not approximate holdings from memory.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

workflows/etf-overlap-report.md2 KB

Frequently asked questions

What does the Llmquant Etfs AI skill do?

Router skill for LLMQuant ETFs workflows. Use when the user needs ETF holdings, overlap, concentration, issuer snapshot, or theme exposure analysis.

Why use Llmquant Etfs on TypingMind?

Because you install it once and use it with any model. Llmquant Etfs 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 Llmquant Etfs in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/LLMQuant/skills/tree/master/skills/llmquant-etfs. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Llmquant Etfs?

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 Llmquant Etfs?

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

Is the Llmquant Etfs AI skill free?

Yes. It is published on GitHub by LLMQuant under the MIT 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

LLMQuant ETFs

Routing Rules

Workflow Index

LLMQuant Data Contract

Bundled files

Frequently asked questions

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