Turn an Ad Brief Into Chunked AI UGC Clips With Kling O3 and Seedance on fal — workflow 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. From a terminal:curl -fsSL https://varg.ai/install | shinstalls the vargai CLI (https://varg.ai/how-to/cli.md):vargai searchandvargai install <slug>with no key, every varg model aftervargai login.
Codex skills that write the UGC script, split it into scenes and generate each clip on fal with Kling O3 Standard or Seedance 2.0.
- Type: Workflow · Ads & UGC
- Slug:
turn-an-ad-brief-into-chunked-ai-ugc-clips-on-fal - Status: live
- Publisher: jayleaton (community)
- Source: https://github.com/jayleaton/ai-ugc-video-skills
- Works in: Claude Code
What it does
Three skills: ai-ugc-video-pipeline packages the creator lock, direction block, scene prompts and review plan; ugc-script-writing picks a hook (plus a 100-template hook list), writes the voiceover and chunks it; fal-seedance-video builds payloads, submits fal queue jobs and handles failures. Kling O3 Standard is the default for cheap tests, Seedance 2.0 the higher-cost quality baseline. Clips are reviewed one by one and assembled in your editor. Needs a fal.ai key in .env for local generation; includes an example creator persona.
Use when
- Turn a short ad brief into a chunked AI UGC production plan
- Write a UGC voiceover with a viral hook and split it into clips
- Build an AI creator persona with a locked look, voice and wardrobe
- Generate TikTok, Reels or Shorts clips with fal video models and regenerate only weak scenes
Install
Not published as a standalone skill yet. Source: https://github.com/jayleaton/ai-ugc-video-skills
Example output
https://github.com/jayleaton/ai-ugc-video-skills/raw/main/content-creators/creator-example/assets/maya-vale-reference-contact-sheet.png — example (credit: jayleaton)
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.
- Any agent with a terminal:
curl -fsSL https://varg.ai/install | sh(Windows:irm https://varg.ai/install.ps1 | iex), thenvargai loginand every model is a command —vargai generate_video …,vargai estimate_cost …(https://varg.ai/how-to/cli/) - 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