workflowstacks
ai-agent

CLIP: Get Image Insights

Predict relevant text snippets from images with CLIP, ideal.
34,271 stars4,045 forksJupyter NotebookGuide quality 8/10Updated 3/25/2026100% free · open source
What it does

CLIP predicts the most relevant text snippet given an image, allowing startup founders to automatically generate text descriptions of images

When to use it
  • •Automating image captioning for e-commerce products
  • •Generating text summaries of visual content for social media
  • •Creating image-based chatbot responses
Ready-to-paste prompt
python scripts/demo.py --prompt 'A picture of a cat' --image-path 'path/to/image.jpg' --model 'ViT-B/32'
Heads up: The pre-trained models require a significant amount of disk space (around 1.5GB) and may take a while to download, so ensure you have sufficient storage and a stable internet connection
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/clip && curl -fsSL https://workflowstacks.com/api/skills/clip/claude-skill -o ~/.claude/skills/clip/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How CLIP: Get Image Insights works
Codeflow
Free to inspect

CLIP: Get Image Insights is a small Jupyter Notebook project (~900 lines across 6 code files, plus 1 test files). Setup is light: installs like a normal app. Reading the code is optional. Last commit 5 months ago, MIT license, has a test suite.

Size
Small codebase
~900 lines · 6 code files · 7 min skim
Setup
One-command install
Installs like a normal app. Reading the code is optional.
Runs on
Python
No API keys detected
Jupyter Notebook 99%Python 1%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    requirements.txt
    Dependencies and the commands it exposes
  3. 3
    clip/__init__.py
    Inside clip/ — the main logic begins here
What's in each folder
clip/Core code — the actual logic5 files
data/Data files4 files
notebooks/Research & notebooks2 files
.github/CI / automation (GitHub Actions)1 files
tests/Tests — proof it works1 files
READMEHas testsDocumentedCI checksMIT licenseUpdated 5 mo ago
Quick Actions
Details
Creator
openai
Language
Jupyter Notebook
Category
ai-agent
Published
12/16/2020

Are you the creator of this tool? Claim your listing → and earn 85% of every sale.

Related skills

More ai-agent tools founders pair with this one.

ai-agent★ 276,806
Track GitHub Stars with 996.ICU
Get a popular GitHub star counter for your startup, ideal.
ai-agent★ 264,191
Superpowers
An agentic skills framework & software development methodology that works.
ai-agent★ 244,424
Linux: Open Source Kernel
Get the Linux kernel source tree for custom development, ideal for startup founders in need of a flexible OS foundation
ai-agent★ 210,750
Vue
This is the repo for Vue 2. For Vue 3, go to https://github.com/vuejs/core
ai-agent★ 204,069
Improve Code with andrej-karpathy-skills
Get better code behavior with andrej-karpathy-skills, 165k+ GitHub stars, for founders using LLMs.
ai-agent★ 197,010
FreeDomain: Free Website Domain
Get a free domain with FreeDomain.