Turn a Product Into a Lip-Synced UGC Avatar Ad With Grok and ElevenLabs — 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.
Five Claude Code skills: research and script the angle, Grok image-to-video, ElevenLabs voice, WaveSpeed lip-sync, real product on a device screen.
- Type: Workflow · Ads & UGC
- Slug:
turn-a-product-into-a-lip-synced-ugc-avatar-ad - Status: live
- Publisher: kofiowusuai-lab (community)
- Source: https://github.com/kofiowusuai-lab/ugc-skills
- Works in: Claude Code
What it does
ugc-video-producer orchestrates the job: ugc-ad-strategist researches the audience and writes brief.json, Grok makes a character anchor image and image-to-video clips, ugc-device-screen composites real pixels onto devices, ElevenLabs voices the script, WaveSpeed lip-syncs it and ffmpeg stitches the final MP4. ugc-minimax-mode adapts the pipeline for text-only acting models, with Claude doing planning and Gemini vision QA. Needs the grok and gemini CLIs, ffmpeg, rubberband, Node and Python, plus ELEVENLABS_API_KEY, GEMINI_API_KEY and optionally WAVESPEED_API_KEY; all providers bill per use.
Use when
- Make a talking-head spokesperson UGC ad for a digital or physical product
- Research the audience and write hooks and a beat sheet for a UGC ad
- Show a real ebook, checkout page or app on a phone or laptop screen in the scene
- Add a chosen or cloned voice with lip-sync to an AI avatar clip
Install
- Claude Code:
git clone https://github.com/kofiowusuai-lab/ugc-skills.git && cd ugc-skills && bash install.sh - Any agent, with the vargai CLI:
vargai install turn-a-product-into-a-lip-synced-ugc-avatar-ad
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