Higgsfield AI Launches Marketing Skills to Run Autonomous Meta Ad Campaigns

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Higgsfield AI released a GitHub repository of specialized marketing skills that allow AI agents to handle competitor research, creative generation, and ad scaling. By connecting to Meta's ad infrastructure via MCP, a single agent can now manage the entire performance marketing loop autonomously.

Higgsfield AI, an AI video and image generation platform, released its Marketing Skills repository on GitHub, which extends Higgsfield agent skills to allow AI assistants to execute complex marketing workflows. The repo includes specialized modules for training face-faithful identity models and generating brand-quality product photography across ten distinct visual modes.

This release marks a shift toward verticalized agentic engineering, equipping models with the specific knowledge needed for professional ad operations. The move mirrors Claude Cowork's enterprise controls as organizations move beyond simple asset generation to fully autonomous campaign and budget management.

You can install the skills via the Higgsfield CLI or load them into agents like Claude Code. The higgsfield-soul-id skill enables consistent character generation, while higgsfield-product-photoshoot automates hero banner creation, following a pattern seen in Higgsfield's Marketing Studio hooks. The repository is open-source under the MIT license.

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Higgsfield + Claude Cowork + Meta = the new ad stack. One agent runs competitor research, creative generation, ad launch, and scaling across two MCPs. Higgsfield's Marketing Skills repo on GitHub is the layer behind the high-quality output. https://t.co/3CNPbjIfil

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Still wondering? A few quick answers below.

Higgsfield Marketing Skills are a collection of specialized capabilities for AI agents like Claude Code and Cursor. These skills provide structured instructions and tool access for tasks such as competitor research, creative generation, and ad scaling. They allow an agent to manage the entire marketing loop, from initial research to launching campaigns on platforms like Meta.

You can install these skills using several methods depending on your environment. The recommended cross-agent method is running npx skills add higgsfield-ai/skills in your terminal. Other options include using the GitHub CLI, adding them via the Claude Code marketplace, or running a universal setup script after cloning the repository directly from GitHub.

The Soul ID skill allows you to train a reusable, face-faithful identity model using five to twenty photos. Once trained, it returns a reference ID that can be used in generation tasks to ensure visual consistency across different images and videos. This is particularly useful for maintaining a consistent brand presenter or character in marketing campaigns.

The skills provide access to over thirty image and video generation models hosted on the Higgsfield platform. Supported models include Sora, Kling 3.0, Veo 3.1, and Seedance 2.0 for video, as well as Soul V2 and Flux 2 for images. The system also includes a Marketing Studio mode specifically designed for creating branded advertisements with AI avatars.

Yes, the Higgsfield Marketing Skills repository is available on GitHub under the MIT license. This allows developers and organizations to freely use, modify, and distribute the skills. The repository includes the necessary configuration files for various AI coding agents and provides a framework for teams to build repeatable AI media pipelines for their specific brand needs.

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