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ecom-ai-image-ads

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Generate a daily ecom image-ad plan + prompt packs from foundation docs and competitor ad examples; includes a winner→variants loop and creative registry tagging.

QUICK START

How to use this skill

Bring this guide into your coding agent with a prompt tailored to the tool you use.

  1. Open your project in Codex.
  2. Copy the prompt below and paste it into your agent.
  3. Review the proposed files and risks before you approve installation.
Prompt to paste
I want to install this Agent Skill for this project in Codex.

Source SKILL.md: https://github.com/majiayu000/claude-skill-registry/blob/HEAD/skills/marketing/skill-walkerhi11-mediabuy-plugins-3/SKILL.md

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First, summarize what it does, its dependencies, license status if identifiable, and any risks. Show the exact files you propose to add under .agents/skills/ecom-ai-image-ads/. Do not write files or run scripts until I approve.

After I approve, install the complete skill folder, including required referenced files, into that project location. Verify it is discoverable, then tell me its actual invocation name and how to use it. Do not claim it is installed until you have verified it.

Copying this prompt does not install or run the skill. Review third-party files before use. Codex skill guide

Ecom AI Image Ads (Plan → Prompts → Variants)

This skill produces a daily creative plan and prompt packs you can run in your image tool of choice (Gemini/MJ/SDXL), built from your angle matrix.

Required inputs

  • Workspace with foundation docs + ads/ads.csv (from ecom-foundation-docs)
  • Competitor ad examples (URLs, screenshots, or notes on what’s working)

Required outputs (create these files)

In outputs/ecom/<brand_slug>/<run_id>/creative/:

  • plan.yaml (what to make; format/aspect/angle mapping)
  • prompts.md (copy/paste prompt pack with variants)
  • winner_variations.md (prompt pack for “20 variants of winner”)

Daily creative plan rules (DTC)

For each angle, generate a balanced set:

  • UGC look (authentic, imperfect, believable)
  • Product hero (clean, DTC aesthetic, benefits visible)
  • Proof-first (reviews, demo frames, ingredient/mechanism visual)
  • Comparison/how-to (simple “why it works” visuals; avoid policy landmines)

Aspect ratios to cover:

  • 1:1, 4:5, 9:16

Prompt structure (recommended)

Each prompt should include:

  • subject + setting (UGC/home, bathroom, gym, kitchen, etc.)
  • mechanism/proof (what’s visually different)
  • shot type (selfie, handheld, product close-up, before/after only if true/allowed)
  • lighting + lens (phone look vs studio)
  • negative constraints (no text overlay, no logos, no medical claims)

Winner → variants loop

When you identify a winner, generate 10–30 variants that preserve the “why it worked”:

  • change background, wardrobe, framing, angle, props
  • keep mechanism + core visual cue consistent
  • keep “UGC authenticity” (avoid over-polish)

Output these as winner_variations.md with explicit instructions for subtle vs moderate changes.

Registry tagging (for learning loop)

Tag each creative with:

  • brand:<slug>
  • product:<slug>
  • angle:<angle_id>
  • format:<ugclook|product|proof|comparison|howto>
  • aspect:<1:1|4:5|9:16>

Use ecom-learning-loop to store prompt → performance so you can generate variants from data.