Vision Skill

Community

zeenie-ai

vision-skill

Understand images (describe content, answer questions about them, extract text/OCR) via a vision model. Use when the user asks what an image, screenshot, chart, scan, or photo contains.

Overview

Publisher	zeenie-ai
Repository	`OpenCompany`
Skill name	`vision-skill`
Stars	912
Forks	137
Bundled files	Instructions only
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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by zeenie-ai on GitHub. Read the source before you install it.

Installation

Install the Vision Skill 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.

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/zeenie-ai/OpenCompany.git /tmp/OpenCompany
mkdir -p .claude/skills
cp -r /tmp/OpenCompany/server/skills/assistant/vision-skill .claude/skills/vision-skill

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

Use it in TypingMind

Enable Vision Skill 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 Vision Skill 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 Vision Skill 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.

Vision Skill

See images through the vision tool (a vision-capable model looks at the image and answers in text). Check the tools in your tool list for full schemas; this skill covers strategy.

Workflow

Locate the image with the data tool first (list / search) — the vision tool takes a workspace-relative path, and guessing paths wastes a paid model call.
An image on an external mount (mnt/...) must be imported first: data copy_to_workspace, then pass the returned workspace path.
Choose the operation:
- describe — what is in the image; pass question for something specific ("what is the y-axis peak?") instead of asking for a general description and hoping.
- extract_text — OCR-style text extraction (documents, screenshots, signs). Returns only the text.

The budget ladder

budget controls resolution and therefore cost: small (~256 visual tokens), normal (~1024, default), large (~2048, fine detail).

Skim at normal; escalate to large only when the answer needs fine detail (dense charts, small print, UI screenshots).
Never open with large on an image you haven't seen at normal — each call bills the vision provider.

When NOT to use this tool

The host model may already see images natively: if an image you read via the data tool is visible in the conversation, answer from it directly — a delegate call would be a second opinion at extra cost and latency.
Extracting text from a PDF: use data read (text extraction) first; vision OCR is for rasterized/scanned content the parser cannot read.

Anti-patterns

Calling vision on a path that was never confirmed via data list/read.
Repeating describe with rephrased questions — ask one specific question with the detail you actually need.
Using extract_text on charts to infer numbers — ask describe with a targeted question instead; OCR on plot labels loses structure.

Frequently asked questions

What does the Vision Skill AI skill do?

Understand images (describe content, answer questions about them, extract text/OCR) via a vision model. Use when the user asks what an image, screenshot, chart, scan, or photo contains.

Why use Vision Skill on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zeenie-ai/OpenCompany/tree/main/server/skills/assistant/vision-skill. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Vision Skill?

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 Vision Skill?

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

Is the Vision Skill AI skill free?

Yes. It is published on GitHub by zeenie-ai 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

Vision Skill

Workflow

The budget ladder

When NOT to use this tool

Anti-patterns

Frequently asked questions

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