Top Up (Higgsfield Open-Source Cinematic Ad) — prompt skill for ads & UGC
For AI agents: find the right skill in one call —
curl -s "https://varg.ai/how-to/api/search?q=<what the person wants>"returns the matching how-to page and the best skills with install commands, as markdown (Russian works too). Full index: https://varg.ai/how-to/llms.txt. Every page has a markdown twin: add.mdto its path. Before generating anything, show the person the options on the how-to page.
Higgsfield's 106 s soda ad breakdown: a drained athlete becomes a robot gladiator who must run dry to win.
- Type: Prompt · Ads & UGC
- Slug:
higgsfield-open-top-up - Status: live
- Publisher: Higgsfield (vendor, verified)
- License: unknown
- Source: https://higgsfield.ai/@adilinthewild/projects/top-up
- Works in: Claude Code, Codex
- Cost: Free to watch and browse; remaking shots on Higgsfield is billed in Higgsfield credits, in varg at model price
What it does
One soda turns a drained athlete into a robot gladiator, but to win he has to lose everything, run dry and power up one last time. Published as a carousel breakdown of the shots. Higgsfield published it from its @adilinthewild account as an open project: the page shows the finished film next to the canvas with every generation behind it, its prompt, model and reference assets, so you can study how each shot was made and remix it. Behind it: 255 generations, 54,809 Higgsfield credits, 8 MB of assets; models by share of generations: Seedance 2.0 80.4%, Soul Cinematic 16.8%. Use it as a reference for structure, shot prompts and character consistency; to make your own version, rebuild the shots with the same models in varg (Seedance 2.0) or on Higgsfield.
Use when
- See every prompt and asset behind Top Up
- Study how an AI cinematic ad is built shot by shot
- Remake Top Up with your own story, characters or brand
- Reference for multi-shot character consistency with Seedance and Soul
Not for
- A one-click template: it is a reference you rebuild shot by shot
- Downloading the original footage
Install
Not published as a standalone skill yet. Source: https://higgsfield.ai/@adilinthewild/projects/top-up
Models it drives: seedance_2
Example output
https://static.higgsfield.ai/og/v4/project/b9c635b6-4ff7-4f54-9459-04fcc913fc0f-xc3s2g.jpg — Higgsfield's own share card for the Top Up project page (key art and title); linked, not re-hosted. (credit: Higgsfield, https://higgsfield.ai/@adilinthewild/projects/top-up)
More ads & UGC skills
- Ecommerce video ad skills for Claude Code and AI agents: Product videos that sell on TikTok, TikTok Shop, Reels and Meta: angle, hook, format, script, rules, variants.
- Turn a product into scroll-stopping video hooks: The first 3 seconds of a product video: frame, line and text that agree, from a 70-line hook bank.
- Open-source alternative to Arcads: AI UGC ads: AI UGC ads with an AI actor holding your real product: face, voice and label locked, labelled.
- Turn one winning ad into a creative testing plan: How many ads to test, what to change, when to judge, kill or scale — concepts Meta sees as different.
- Turn a product into a dropshipping guide reel: The faceless "comment GUIDE" reel: product hook, a marker pointing at cost and price on a laptop, a skyline ending.
- Turn product photos into a viral product hook: Find a hook that already sells, then remake it with your product as phone or security-cam footage on Seedance 2.5.
Run the generation on varg
varg is one API key for the models these skills drive — Seedance 2.5, Kling 4, Veo 3.1, Wan 3, Nano Banana 2.1, GPT Image 2.5, ElevenLabs v4 and 200+ more — billed in credits, with a cost estimate before anything runs.
- Claude Code:
claude plugin marketplace add vargHQ/skills && claude plugin install varg@varg(skill + hosted MCP) - Codex, Cursor, Gemini CLI, OpenClaw:
npx skills add vargHQ/skills --skill varg-ai -a <agent> -y - Grok and any agent that reads SKILL.md:
npx skills add vargHQ/skills --skill varg-ai, or point it at the skill's SKILL.md - Claude.ai, ChatGPT, any MCP client: connect
https://mcp.varg.ai/mcp - API key: https://varg.ai/dashboard/api · Model specs: https://varg.ai/models/llms.txt