Describe Image logo

Describe Image

Organization
Wide-Moat
describe-image

Describe images (charts, diagrams, tables, screenshots) using Vision AI. Use as fallback when you cannot read an image file directly. Supports batch processing of folders.

Overview

PublisherWide-Moat
Repositoryopen-computer-use
Skill namedescribe-image
Stars
123
Forks
29
Bundled files
1
Links
  • 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 Wide-Moat on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. 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.
2

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/Wide-Moat/open-computer-use.git /tmp/open-computer-use
mkdir -p .claude/skills
cp -r /tmp/open-computer-use/skills/public/describe-image .claude/skills/describe-image
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Describe Image 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 Describe Image 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 Describe Image 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.

Describe Image

Analyze images using Vision AI and generate detailed text descriptions in Russian.

Quick Start

bash
# Single image
python /mnt/skills/public/describe-image/scripts/describe.py \
    -i /path/to/image.png

# Folder with images
python /mnt/skills/public/describe-image/scripts/describe.py \
    -i /path/to/folder

Parameters

ParameterDefaultDescription
-i, --inputrequiredImage file or folder path
-c, --context""(optional) Context for better accuracy (e.g., "Sales dashboard Q4")
--page1(optional) Page number for folder processing
--page-size50(optional) Images per page (max 100)
--quietfalse(optional) Suppress per-image logging in single-file mode

Supported Image Types

  • Charts and graphs (bar, line, pie, radar, scatter)
  • Tables and spreadsheets
  • UI screenshots
  • Flowcharts and process diagrams
  • Architecture diagrams
  • Document photos and scans

Examples

Single image:

bash
python /mnt/skills/public/describe-image/scripts/describe.py \
    -i /home/assistant/document/images/img_001.jpg

With context for better accuracy:

bash
python /mnt/skills/public/describe-image/scripts/describe.py \
    -i dashboard.png \
    -c "Quarterly sales report showing EMEA region performance"

Folder with images (batch processing):

bash
# Process first 50 images
python /mnt/skills/public/describe-image/scripts/describe.py \
    -i /home/assistant/assessment/images/

# Process images 51-100 (page 2)
python /mnt/skills/public/describe-image/scripts/describe.py \
    -i /home/assistant/assessment/images/ --page 2

# Process with custom page size
python /mnt/skills/public/describe-image/scripts/describe.py \
    -i /home/assistant/assessment/images/ --page-size 100

Output

Single image: Returns structured description to stdout.

Folder: Creates manifest-N.md file in the folder. Use view to read it.

Console output:

Processed 50/150 images
Created: /home/assistant/assessment/images/manifest-1.md
Remaining pages: 2 (use --page 2, --page 3)

Use: view /home/assistant/assessment/images/manifest-1.md

After running the command, use the view tool to read the manifest file.

Manifest format (LLM-friendly XML):

xml
<images folder="/home/assistant/assessment/images" page="1" total_pages="3">

<image path="img_001.jpg">
Horizontal bar chart showing deviations from the average score...
</image>

<image path="img_002.jpg">
Diagram with five rating categories: "Below expectations", "Needs development"...
</image>

</images>

Environment

Requires VISION_API_KEY environment variable.

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 Describe Image AI skill do?

Describe images (charts, diagrams, tables, screenshots) using Vision AI. Use as fallback when you cannot read an image file directly. Supports batch processing of folders.

Why use Describe Image on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Wide-Moat/open-computer-use/tree/main/skills/public/describe-image. 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 Describe Image?

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 Describe Image?

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

Is the Describe Image AI skill free?

It is published on GitHub by Wide-Moat. 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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