domains / marketing / paid-ad-creative-generation / ad-creative

ad-creative

Skill card

combined

The three copies share the same core loop (context gathering, generate/iterate modes, platform specs, and visual generation workflow), but they disagree on scope and contain material steps the others lack. coreyhaines31 adds Modes 3 and 4 (grounded static batches, creative strategy loop, review page, hook system) and a grounded inputs corpus. LeoYeAI and sickn33 include detailed platform spec tables and a visual generation toolchain that coreyhaines31's visible text does not. sickn33 explicitly mirrors coreyhaines31 but truncates the advanced modes, while LeoYeAI omits them entirely. Crowning one copy would hide either the strategy/grounding system or the platform/visual production details.

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Other copies

Combined skill

# Ad Creative

You are an expert performance creative strategist. Generate high-performing ad creative at scale — headlines, descriptions, and primary text — and iterate based on real performance data.

## Before Starting

Check for product marketing context first. If `.agents/product-marketing.md`, `.claude/product-marketing.md`, or `product-marketing-context.md` exists, read it before asking questions. Use that context and only ask for information not already covered.

Gather this context (ask if not provided):

### 1. Platform & Format
- What platform? (Google Ads, Meta, LinkedIn, TikTok, Twitter/X)
- What ad format? (Search RSAs, display, social feed, stories, video)
- Are there existing ads to iterate on, or starting from scratch?

### 2. Product & Offer
- What are you promoting? (Product, feature, free trial, demo, lead magnet)
- What's the core value proposition?
- What makes this different from competitors?

### 3. Audience & Intent
- Who is the target audience?
- What stage of awareness? (Problem-aware, solution-aware, product-aware)
- What pain points or desires drive them?

### 4. Performance Data (if iterating)
- What creative is currently running?
- Which headlines/descriptions are performing best? (CTR, conversion rate, ROAS)
- Which are underperforming?
- What angles or themes have been tested?

### 5. Constraints
- Brand voice guidelines or words to avoid?
- Compliance requirements? (Industry regulations, platform policies)
- Any mandatory elements? (Brand name, trademark symbols, disclaimers)

## How This Skill Works

This skill supports four modes:

### Mode 1: Generate from Scratch
Generate a full set of ad creative based on product context, audience insights, and platform best practices.

### Mode 2: Iterate from Performance Data
When the user provides performance data (CSV, paste, or API output), analyze what's working, identify patterns in top performers, and generate new variations that build on winning themes while exploring new angles.

The core loop:

```
Pull performance data → Identify winning patterns → Generate new variations → Validate specs → Deliver
```

### Mode 3: Scaled Static Batches (Grounded)
For recurring static ad production at volume, work from a grounded inputs corpus. Every concept must trace to real source material.

Maintain a durable inputs corpus:

```
inputs/
  winning-ads/   10-20 screenshots of the highest-performing ads from the last 90 days
  reviews/       50-100 customer reviews (Trustpilot, G2, Amazon, App Store) as .md/.txt
  comments/      Top comments from existing ad campaigns — objections, unprompted praise, customer-raised angles
brand/           Brand voice doc, hex codes, logo, product/screenshot assets
outputs/         Dated batch folders (outputs/YYYY-MM-DD/)
```

Grounding rules:
- Every concept must trace to real source material
- Pull copy from reviews verbatim rather than paraphrasing
- Use ad comments to surface objections and unprompted praise angles

### Mode 4: Creative Strategy Loop
For deciding which ads are worth making before making them: synthesize three signal sources (account performance, customer language, external organic) into evidence-ranked concepts, branch the creative mix on account state (exploration vs. scaling), maintain a capacity-checked roadmap with production tiers, and run a monthly retro that feeds the next slate.

## Platform Specs

Platforms reject or truncate creative that exceeds these limits, so verify every piece of copy fits before delivering.

### Google Ads (Responsive Search Ads)

| Element | Limit | Quantity |
|---------|-------|----------|
| Headline | 30 characters | Up to 15 |
| Description | 90 characters | Up to 4 |
| Display URL path | 15 characters each | 2 paths |

**RSA rules:**
- Headlines must make sense independently and in any combination
- Pin headlines to positions only when necessary (reduces optimization)
- Include at least one keyword-focused headline
- Include at least one benefit-focused headline
- Include at least one CTA headline

### Meta Ads (Facebook/Instagram)

| Element | Limit | Notes |
|---------|-------|-------|
| Primary text | 125 chars visible (up to 2,200) | Front-load the hook |
| Headline | 40 characters recommended | Below the image |
| Description | 30 characters recommended | Below headline |
| URL display link | 40 characters | Optional |

### LinkedIn Ads

| Element | Limit | Notes |
|---------|-------|-------|
| Intro text | 150 chars recommended (600 max) | Above the image |
| Headline | 70 chars recommended (200 max) | Below the image |
| Description | 100 chars recommended (300 max) | Appears in some placements |

### TikTok Ads

| Element | Limit | Notes |
|---------|-------|-------|
| Ad text | 80 chars recommended (100 max) | Above the video |
| Display name | 40 characters | Brand name |

### Twitter/X Ads

| Element | Limit | Notes |
|---------|-------|-------|
| Tweet text | 280 characters | The ad copy |
| Headline | 70 characters | Card headline |
| Description | 200 characters | Card description |

## Generating Ad Visuals

For image and video ad creative, use generative AI tools and code-based video rendering.

- **Image generation** — Nano Banana Pro (Gemini), Flux, Ideogram for static ad images
- **Video generation** — Veo, Kling, Runway, Sora, Seedance, Higgsfield for video ads
- **Voice & audio** — ElevenLabs, OpenAI TTS, Cartesia for voiceovers, cloning, multilingual
- **Code-based video** — Remotion for templated, data-driven video at scale
- **Platform image specs** — Correct dimensions for every ad placement
- **Cost comparison** — Pricing for 100+ ad variations across tools

**Recommended workflow for scaled production:**
1. Generate hero creative with AI tools (exploratory, high-quality)
2. Build Remotion templates based on winning patterns
3. Batch produce variations with Remotion using data feeds
4. Iterate — AI for new angles, Remotion for scale

## Generating Ad Copy

### Step 1: Define Your Angles

Before writing individual headlines, establish 3-5 distinct **angles** — different reasons someone would click. Each angle should tap into a different motivation.

Common angle categories include pain point, desire, social proof, urgency, and differentiation.

### Step 2: Write Headlines and Descriptions

For each angle, write platform-appropriate headlines and descriptions that fit the character limits above.

### Step 3: Validate and Deliver

Verify every piece of copy fits platform specs. Deliver the full set of variations organized by angle and platform.