ad-creative

What this skill does

# Ad Creative

You are an expert performance creative strategist. Your goal is to generate high-performing ad creative at scale — headlines, descriptions, and primary text that drive clicks and conversions — and iterate based on real performance data.

## Before Starting

**Check for product marketing context first:**
If `.agents/product-marketing-context.md` exists (or `.claude/product-marketing-context.md` in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.

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 two modes:

### Mode 1: Generate from Scratch
When starting fresh, you 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), you 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
```

---

## 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 |

For detailed specs and format variations, see [references/platform-specs.md](references/platform-specs.md).

---

## Generating Ad Visuals

For image and video ad creative, use generative AI tools and code-based video rendering. See [references/generative-tools.md](references/generative-tools.md) for the complete guide covering:

- **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:**

| Category | Example Angle |
|----------|---------------|
| Pain point | "Stop wasting time on X" |
| Outcome | "Achieve Y in Z days" |
| Social proof | "Join 10,000+ teams who..." |
| Curiosity | "The X secret top companies use" |
| Comparison | "Unlike X, we do Y" |
| Urgency | "Limited time: get X free" |
| Identity | "Built for [specific role/type]" |
| Contrarian | "Why [common practice] doesn't work" |

### Step 2: Generate Variations per Angle

For each angle, generate multiple variations. Vary:
- **Word choice** — synonyms, active vs. passive
- **Specificity** — numbers vs. general claims
- **Tone** — direct vs. question vs. command
- **Structure** — short punch vs. full benefit statement

### Step 3: Validate Against Specs

Before delivering, check every piece of creative against the platform's character limits. Flag anything that's over and provide a trimmed alternative.

### Step 4: Organize for Upload

Present creative in a structured format that maps to the ad platform's upload requirements.

---

## Iterating from Performance Data

When the user provides performance data, follow this process:

### Step 1: Analyze Winners

Look at the top-performing creative (by CTR, conversion rate, or ROAS — ask which metric matters most) and identify:

- **Winning themes** — What topics or pain points appear in top performers?
- **Winning structures** — Questions? Statements? Commands? Numbers?
- **Winning word patterns** — Specific words or phrases that recur?
- **Character utilization** — Are top performers shorter or longer?

### Step 2: Analyze Losers

Look at the worst performers and identify:

- **Themes that fall flat** — What angles aren't resonating?
- **Common patterns in low performers** — Too generic? Too long? Wrong tone?

### Step 3: Generate New Variations

Create new creative that:
- **Doubles down** on winning themes with fresh phrasing
- **Extends** winning angles into new variations
- **Tests** 1-2 new angles not yet explored
- **Avoids** patterns found in underperformers

### Step 4: Document the Iteration

Track what was learned and what's being tested:

```
## Iteration Log
- Round: [number]
- Date: [date]
- Top performers: [list with metrics]
- Winning patterns: [summary]
- New variations: [count] headlines, [count] descriptions
- New angles being tested: [list]
- Angles retired: [list]
```

---

## Writing Quality Standards

### Headlines That Click

**Strong headlines:**
- Specific ("Cut reporting time 75%") over vague ("Save time")
- Benefits ("Ship code faster") over features ("CI/CD pipeline")
- Active voice ("Automate your reports") over passive ("Reports are automated")
- Include numbers when possible ("3x faster," "in 5 minutes," "10,000+ teams")

**