Meme Image Forge

    by Edric Vale

    1

    Use Pillow to generate real meme images: pick a template, find caption boxes, overlay top/bottom text with auto font sizing, whitespace handling, and batch PNG/

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    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLI+17 more

    See it in action

    You say

    Generate a batch of 5 memes using the Drake template. Use the provided list of top/bottom captions and save them as high-quality PNGs in the /output folder.

    Your agent does

    Processing batch...

    1. drake_01.png: Text scaled to 64pt, rendered with 4px stroke.
    2. drake_02.png: Text scaled to 48pt (long caption), wrapped to 3 lines. ... Batch complete. 5 images saved to /output. View summary table for pixel dimensions.

    What you get

    Automate bulk social media content generationImplement dynamic font scaling for varied caption lengthsApply readable text strokes and background overlays automaticallyExecute batch image exports for A/B testing pipelines

    About this skill

    The problem

    Programmatically generating meme images often results in text overflows, unreadable white-on-white captions, or broken layouts. Manually resizing text to fit specific template regions is tedious and hard to automate for bulk social media campaigns.

    What it does

    • Calculates optimal font scaling dynamically to ensure text never clips outside of defined caption boxes.
    • Implements word-wrapping logic based on pixel width rather than just character count.
    • Applies high-contrast styling using white text with black strokes and optional semi-transparent overlays for legibility.
    • Orchestrates batch processing to generate multiple variations from a single dataset of templates and captions.
    • Supports precise positioning using Pillow anchors for centered, top, or bottom alignment.

    Frameworks & tools

    Python and the Pillow (PIL) library.

    Why this beats prompting it yourself

    A generic prompt often fails to handle the geometry of text wrapping and font scaling correctly in Python. This skill provides a tested logic flow for coordinate-based text placement and iterative font resizing that prevents the common "text off-screen" bug.

    Use cases

    • Automating social media content pipelines for high-volume posting.
    • Running A/B tests on meme variations with different caption combinations.
    • Building a backend service for a custom meme generator web application.
    • Generating localized versions of memes in bulk for different regions.

    Known limitations

    Does not generate base images from scratch using AI. Not intended for animated GIF creation or complex layered image editing.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    Recently published to Agensi

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