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mikefutia/no-more-higgsfield

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by Mike Futia — https://www.skool.com/scale-ai/about

개요

by Mike Futia — https://www.skool.com/scale-ai/about A Claude Code skill that replaces subscription AI creative tools (Higgsfield, Krea, Freepik AI) with pay-per-asset generation through a single fal.ai API key. Drop in a winning Meta static ad and get back a complete testing matrix: copy variations (different hooks, angles, CTAs), new static ad images via GPT Image 2, and the winners animated into video via Kling or Seedance — all grounded in your brand's actual guidelines, voice, and customer language. - No $49–$99/month whether you generate or not. - Approved claims, banned words, your customer's exact language — every generation is grounded in your brand files. No subscription tool can do this. - Every run shows a per-asset cost table first, and a hard budget cap is enforced in code — the script refuses to submit anything over budget. - Every asset downloads to your disk immediately, every prompt and cost is logged, and a local gallery shows your whole library.

README

원문 README의 일부입니다. 원문 보기.

No More Higgsfield — Ad Creative Engine

by Mike Futia — https://www.skool.com/scale-ai/about

A Claude Code skill that replaces subscription AI creative tools (Higgsfield, Krea, Freepik AI) with pay-per-asset generation through a single fal.ai API key.

Drop in a winning Meta static ad and get back a complete testing matrix: copy variations (different hooks, angles, CTAs), new static ad images via GPT Image 2, and the winners animated into video via Kling or Seedance — all grounded in your brand’s actual guidelines, voice, and customer language.

A 5-variation testing cycle costs about $0.35. Animating a winner adds ~$0.50. Slow months cost $0.

Why this beats a subscription

  • Pay for output, not capacity. No $49–$99/month whether you generate or not.
  • It reads your brand. Approved claims, banned words, your customer’s exact language — every generation is grounded in your brand files. No subscription tool can do this.
  • Cost quoted before anything fires. Every run shows a per-asset cost table first, and a hard budget cap is enforced in code — the script refuses to submit anything over budget.
  • You own everything. Every asset downloads to your disk immediately, every prompt and cost is logged, and a local gallery shows your whole library. No deletion windows, no content-rights fine print.

Install

Claude desktop app (recommended): download ad-creative-engine.skill from this repo, then in the app go to Customize → Skills → Upload skill and select the file. Done.

Claude Code CLI: clone straight into your skills folder:

git clone https://github.com/mikefutia/no-more-higgsfield.git ~/.claude/skills/ad-creative-engine

Both paths then need the Python environment (one-time — or just ask Claude: “set up the ad-creative-engine skill’s Python environment” and it’ll run this for you):

python3 -m venv ~/.config/ad-creative-engine/venv
~/.config/ad-creative-engine/venv/bin/pip install fal-client python-dotenv requests

Finally, get a fal.ai key (fal.ai → Settings → API Keys), load $10 of pay-as-you-go credit, and save it:

mkdir -p ~/.config/fal && echo 'FAL_KEY=your-key-here' > ~/.config/fal/.env && chmod 600 ~/.config/fal/.env

(A .env file in your project folder or an exported FAL_KEY env var also works.)

Use

In a project folder, set up your brand context once — Claude drafts it for you:

Draft my three brand foundation files from https://yourbrand.com — brand/brand-dna.md
(products, approved claims, visual identity, what we can NEVER say in Meta ads),
brand/brand-voice.md (tone, do/don't words), and brand/icp-cards.md (target customer,
pain points, voice-of-customer phrases, objections).

Review the drafts — every future ad inherits them. Then drop your winning ad image into the folder and run the matrix:

GitHub에서 전체 README 보기

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