Label

Community

qtzx06

label

Auto-label frames with bounding boxes. Supports four modes — CUA+SAM (best accuracy, OpenAI CUA clicks + SAM segmentation), Gemini (native bbox detection), GPT vision (API fallback), or Codex vision subagents (no API keys). Parallel dispatch via git worktrees. Use after collecting frames.

Overview

Publisher	qtzx06
Repository	`yolodex`
Skill name	`label`
Stars	96
Forks	13
Bundled files	7
Links	Skill source Repository

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.
7 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by qtzx06 on GitHub. Read the source before you install it.

Installation

Install the Label 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/qtzx06/yolodex/tree/main/.agents/skills/label
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/qtzx06/yolodex.git /tmp/yolodex
mkdir -p .claude/skills
cp -r /tmp/yolodex/.agents/skills/label .claude/skills/label

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

Use it in TypingMind

Enable Label 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 Label 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 Label 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.

Labeling Modes

Set label_mode in config.json:

Mode	How it works	Best for
`cua+sam`	CUA clicks on objects → SAM segments precise boundaries	Best accuracy, hackathon demo
`gemini`	Gemini native bounding box detection (0-1000 scale)	Fast, good native bbox support
`gpt`	GPT vision model returns JSON bounding boxes	Simple fallback
`codex`	Codex subagents view images and write YOLO labels directly	No API keys

Instructions

Read config.json for label_mode, classes, model, num_agents If the user asks to call subagent, route to parallel dispatch in step 5.
CUA+SAM mode (recommended): Run: uv run .agents/skills/label/scripts/label_cua_sam.py Requires: OPENAI_API_KEY, classes must be set in config.json
Gemini mode: Run: uv run .agents/skills/label/scripts/label_gemini.py Requires: GEMINI_API_KEY or GOOGLE_API_KEY
GPT mode (fallback): Run: uv run .agents/skills/label/scripts/run.py Requires: OPENAI_API_KEY
Parallel dispatch (GPT or Codex mode): Run: bash .agents/skills/label/scripts/dispatch.sh [num_agents] Creates N git worktrees, dispatches N Codex subagents, merges results. If Codex subagents are unavailable in-session, this shell command is the fallback path. Supports:
- label_mode=gpt with OPENAI_API_KEY (runs run_batch.py)
- label_mode=codex without API keys (Codex image-viewing subagents)
Outputs: output/frames/*.txt (YOLO labels), output/classes.txt

Scripts

Script	Mode	Description
`label_cua_sam.py`	cua+sam	CUA for clicks + SAM for segmentation
`label_gemini.py`	gemini	Gemini native bounding boxes
`run.py`	gpt	GPT vision structured output
`run_batch.py`	gpt	GPT vision (subagent batch mode)
`dispatch.sh`	gpt/codex	Parallel subagent orchestrator
`merge_classes.py`	all	Unify class maps from subagents
`auto_label_and_show.py`	all	Auto-run configured labeler and print/render label previews

Bundled files

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

Frequently asked questions

What does the Label AI skill do?

Why use Label on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/qtzx06/yolodex/tree/main/.agents/skills/label. 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 Label?

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 Label?

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

Is the Label AI skill free?

It is published on GitHub by qtzx06. Check the repository for licensing terms. 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

Labeling Modes

Instructions

Scripts

Bundled files

Frequently asked questions

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