# Krea Marketing — workflow skill for ads & UGC

> **For AI agents:** find the right skill in one call — `curl -s "https://skills.varg.ai/api/search?q=<what the person wants>"` returns the matching use case and the best skills with install commands, as markdown (Russian works too). Full index: https://skills.varg.ai/llms.txt. Every page has a markdown twin: add `.md` to its path. Before generating anything, show the person the options on the use-case page.

Make performance marketing creative on Krea: packshots, marketplace cards, UGC and video ads, Meta Ads.

- **Type:** [Workflow](https://skills.varg.ai/workflows.md) · [Ads & UGC](https://skills.varg.ai/browse/skills/ads.md)
- **Slug:** `krea-marketing`
- **Status:** live
- **Publisher:** Krea (vendor, verified)
- **License:** MIT
- **Source:** https://github.com/krea-ai/skills/tree/main/krea-marketing
- **Works in:** Claude Code, Codex, Cursor, Gemini CLI
- **Requires:** Krea account, Krea MCP server connected
- **Cost:** Billed in Krea compute units (CU)
- **Adoption:** 320 installs, 29 GitHub stars (skills.sh, 2026-10-26)

## What it does

Routes marketing and paid-social work on Krea: packaging design and mockups, product photoshoots, marketplace cards, static, UGC and video ads, campaign key visuals, ad storyboards, product launches and Meta Ads. It sets rules for using real product evidence and a model policy for marketing images.

## Use when

- Ads, UGC or campaign key visuals
- Product photoshoots or marketplace cards
- Meta Ads creative

## Not for

- Generic media generation (use Krea Generate)

## Install

- Claude Code: `/plugin marketplace add krea-ai/skills && /plugin install krea@krea`
- Codex: `npx skills add krea-ai/skills --skill krea-marketing -a codex`
- Cursor: `npx skills add krea-ai/skills --skill krea-marketing -a cursor`
- Gemini CLI: `npx skills add krea-ai/skills --skill krea-marketing -a gemini-cli`

**Models it drives:** nano_banana_pro, nano_banana_2, gpt_image_2, seedance_2_5

## Example output

https://skills.varg.ai/previews/krea-marketing.mp4 — Marketing example on Krea's Agent for Marketing page: one speaker product carried through studio packshot, fabric detail and lifestyle shots (full 9 s) (credit: Krea, https://www.krea.ai/krea-agent/marketing)

## Used for

- [Batch of ad variants for testing](https://skills.varg.ai/use-cases/ad-variants.md): Ten or more short video ads from one brief, each with a different hook or format, for Meta/TikTok creative testing.

## More ads & UGC skills

- [fal Marketing](https://skills.varg.ai/skills/fal-marketing.md): Produce campaign asset matrices: launch kits, paid-social variants, banners and channel deliverables.
- [fal UGC](https://skills.varg.ai/skills/fal-ugc.md): Script and generate UGC-style creator ads: talking heads, demos, testimonials, unboxings and reactions.
- [AI Marketing Videos](https://skills.varg.ai/skills/inference-sh-ai-marketing-videos.md): Make product demos, promos, testimonials and launch videos with Veo, Seedance, Wan, FLUX and Kokoro.
- [Video Ad Specs](https://skills.varg.ai/skills/inference-sh-video-ad-specs.md): Build video ads to each platform's exact specs: TikTok, Instagram, YouTube, Facebook and LinkedIn.
- [FLUX 3 Product Ads](https://skills.varg.ai/skills/flux-3-product-ads.md): Build a finished product ad with FLUX 3: shot design, voiceover sync, deterministic assembly, QC gates.
- [Marketing Video Production](https://skills.varg.ai/skills/marketingskills-video.md): Corey Haines' marketing video skill: pick code, a video model or an avatar, then script, prompt and repurpose.

## 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`
- 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
