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what is deepseekimg fr?

wdwxw/deepseekimg — explained in plain English

Analysis updated 2026-05-18

13JavaScriptAudience · developerComplexity · 2/5Setup · moderate

tl;dr

A Claude Code skill that lets the text-only DeepSeek model understand images by routing them through a local Ollama vision model and returning the description as text.

vibe map

mindmap
  root((repo))
    What it does
      Gives DeepSeek image sight
      Bridges to Ollama vision model
    Tech stack
      Node.js
      Ollama
      JavaScript
    Use cases
      Count people in photo
      OCR a screenshot
      Describe a scene
    Audience
      Claude Code users
      DeepSeek users
    Setup
      Install Ollama
      Pull vision model
      Copy skill folder

Code map

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filefunction / class

what do people make with this?

VIBE 1

Ask DeepSeek to count how many people appear in a photo

VIBE 2

Have DeepSeek read and transcribe text from a screenshot via OCR

VIBE 3

Identify what product or object appears in an image

VIBE 4

Get a full descriptive caption of any image without a specific question

what's the stack?

Node.jsJavaScriptOllama

how it stacks up fr

wdwxw/deepseekimg09catho/axonabdulrdeveloper/react--tic-tac-toe
Stars131313
LanguageJavaScriptJavaScriptJavaScript
Setup difficultymoderatemoderateeasy
Complexity2/54/51/5
Audiencedeveloperresearcherdeveloper

Figures from each repo's GitHub metadata at analysis time.

how do i run it?

Difficulty · moderate time til it works · 30min

Requires Ollama installed locally with a vision model like gemma4:e2b pulled first.

in plain english

This project is a small add-on, called a skill, for the Claude Code coding assistant. It gives another AI model, DeepSeek, the ability to understand pictures, something DeepSeek cannot do on its own since it only reads text. The way it works is simple. When you show DeepSeek an image and ask a question about it, this skill quietly sends that image to a separate vision model running on your own computer through a tool called Ollama. That vision model looks at the picture, works out what is in it or reads any text inside it, and sends a written answer back. DeepSeek then uses that answer to reply to you, so from your side it feels like DeepSeek can see, even though it never actually looks at the image itself. To use it, you need Node.js version 18 or newer, plus Ollama installed and running on your machine along with a vision model such as gemma4:e2b. Setup involves installing Ollama, pulling that model, and then either copying this skill into a global folder so Claude Code always finds it, copying it into just one project instead, or calling the included script directly by hand without registering it as a skill at all. Once installed, you talk to DeepSeek normally and mention an image path along with your question, for example asking how many people are in a photo, asking it to read text out of a screenshot, or asking what a product in a picture is. There is also a plain describe mode that asks for a full description of an image with no specific question attached. A few settings can be changed through environment variables, including which vision model to use, the address of the Ollama server if it runs somewhere other than your own machine, and whether to turn on an extended thinking mode. This makes it possible to point the skill at a different model or a remote Ollama instance without changing any code.

prompts (copy fr)

prompt 1
Install this skill globally so Claude Code can call it whenever I mention an image path.
prompt 2
Look at /tmp/photo.jpg and tell me how many people are in it.
prompt 3
Read the text out of /tmp/screenshot.png for me.
prompt 4
Switch the vision model this skill uses to llava:13b instead of the default.
prompt 5
Point this skill at a remote Ollama server running on my home network.

Frequently asked questions

what is deepseekimg fr?

A Claude Code skill that lets the text-only DeepSeek model understand images by routing them through a local Ollama vision model and returning the description as text.

What language is deepseekimg written in?

Mainly JavaScript. The stack also includes Node.js, JavaScript, Ollama.

How hard is deepseekimg to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is deepseekimg for?

Mainly developer.

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