hf Image Caption

    2

    Automate image captioning and alt-text generation using Hugging Face's BLIP model for batch processing.

    $12

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    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    hf-image-caption

    Example session with this skill installed

    Caption sunset.jpg and office.png for me and save the results.

    • Read your context and instructions
    • Compiled the hf-image-caption
    • Generated the image

    Captioning: sunset.jpg ... a photograph of a beach at sunset with purple clouds
    Captioning: office.png ... a modern office space with a wooden desk and a laptop

    2 captions saved to: ~/.hf-image-caption/captions_20231027_143005.json

    hf-image-caption.png

    PNG · 1536×1024

    Generated

    Example file from a real run - the skill writes it into your workspace.

    Connects securely to your tools. The creator never sees your data.

    What you get

    Generate SEO-friendly alt-text for static website image assets.Create searchable text indexes for large local image libraries.Automate metadata generation for image datasets in machine learning workflows.Improve web accessibility by auto-generating descriptions for UI components.

    About this skill

    What it does

    This skill provides an automated pipeline for generating descriptive alt-text and metadata for your images. By leveraging Hugging Face's Salesforce BLIP model, it transforms visual content into natural language captions. It supports both individual files and batch processing via glob patterns, ensuring data is structured and archived automatically in a centralized local directory.

    Why use this skill

    Manually writing alt-text for large image datasets is time-consuming and inconsistent. While you could prompt an AI to "describe this image," this skill automates the heavy lifting: it handles raw image byte processing, manages API authentication with Hugging Face, pipelines multiple files simultaneously, and provides a structured JSON audit trail. It’s a developer-first tool designed to be integrated into CI/CD pipelines, static site generators, or content management workflows.

    Supported tools

    • Direct integration with Hugging Face Inference API
    • Bash shell for file operations
    • Standard JSON for portable output metadata

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

      Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.

    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

    Skills folder by agent

    Click the path to copy it. Create the folder if it does not exist yet.

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    Fresh listing

    Recently published to Agensi

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    Security scanned

    Verified clean 5 months ago

    • Passed all security checks, Safe to install

    Listed5 months ago

    What's inside

    Frequently Asked Questions