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    Gumroad Image Uploader

    Gumroad Image Uploader

    by JustHandled Labs

    Bulk-update cover images and thumbnails across your Gumroad catalog from a CSV or a folder of files named by permalink. Pre-flight checks validate each image (format, size, corruption) before it hits the Gumroad API, and you get an audit log of every success and failure. No clicking through the dashboard product by product.

    Updated Jun 2026
    Instant install

    $9

    · or 45 credits

    30-day refund guarantee

    Secure checkout via Stripe

    Also available in a bundle

    Included in download

    • Apply new branding across hundreds of Gumroad products simultaneously
    • Map local image folders to products using custom permalinks automatically
    • terminal, network, file_read automation included
    • Includes example output and usage patterns
    • Instant install

    Sample input

    Bulk upload the cover images from the covers folder to my Gumroad products using https://cdn.example.com/assets as the public URL base.

    Sample output

    Gumroad Image Upload Summary

    | Row | Custom Permalink | Image | Status | Product ID | Message | |---:|---|---|---|---|---| | 1 | pro-preset | covers/pro-preset.png | success | xYz987 | Cover image uploaded | | 2 | light-pack | covers/light-pack.webp | success | aBc123 | Cover image uploaded |

    Successes: 2 | Failures: 0

    About This Skill

    What it does

    The Gumroad Image Uploader automates the tedious process of updating product cover images and thumbnails across your Gumroad catalog. Instead of manually clicking through the web dashboard for every item, this skill enables bulk updates via a simple CSV manifest or a structured image folder.

    Why use this skill

    Manual uploads are prone to error and incredibly time-consuming for large catalogs. This developer-focused tool provides a robust automation layer that includes pre-flight checks to ensure your assets meet Gumroad's requirements before hitting the API. It handles token validation, file integrity checks, and size warnings automatically.

    Unlike basic prompting, this skill provides logic for mapping local files to remote products using custom permalinks, handles multipart form-data requirements, and manages API rate limits or missing product scenarios gracefully.

    Supported tools

    • Gumroad API v2 integration
    • Python-based execution environment
    • Pillow for image validation and corruption detection
    • CSV and local filesystem processing
    • Support for JPG, PNG, and WebP formats

    Use Cases

    • Apply new branding across hundreds of Gumroad products simultaneously
    • Map local image folders to products using custom permalinks automatically
    • Validate image integrity and file size before attempting API uploads
    • Generate detailed audit logs of successful and failed cover updates

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    Security Scanned

    Passed automated security review

    Permissions

    Terminal / Shell
    Network Access
    Read Files
    Environment Variables

    Allowed Hosts

    api.gumroad.com

    File Scopes

    .env
    ./images/*.jpg
    ./images/*.png
    ./images/*.webp
    *.csv

    Gumroad Image Uploader needs terminal access to run the batch upload script. Network access calls the Gumroad API to update product cover images. File read access reads image files from the specified folder. Environment variables read the Gumroad access token from .env. No write, browser, or other network access required.

    Works with Claude Code and Codex. Requires Gumroad access token in .env file. No other dependencies.

    Creator

    JustHandled Labs builds focused agent skills for the work nobody wants to do by hand. Each one is a single repeatable job done well: catching the security and data mistakes that quietly ship, keeping docs and tests honest, gating the commands an agent is about to run, sharpening writing, and handling the founder chores around launches, outreach, and brand setup. Not generic AI productivity. Specific workflows that are easy to run, review, and repeat. Maintained by H.J. Westerfield, with a background in communications, editing, project coordination, customer support, and practical AI systems. Tools for people who want useful automation without theatrical complexity.

    Frequently Asked Questions

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