When the user wants to generate, iterate, or scale ad creative — headlines, descriptions, primary text, or full ad variations — for any paid advertising platform. Also use when the user mentions 'ad copy variations,' 'ad creative,' 'generate headlines,' 'RSA headlines,' 'bulk ad copy,' 'ad iterations,' 'creative testing,' 'write me some ads,' 'Facebook ad copy,' 'Google ad headlines,' 'LinkedIn ad text,' 'static ads,' 'ad templates,' 'iMessage ad,' 'chat reveal ad,' 'ChatGPT ad,' 'Apple Notes ad,' 'AirDrop ad,' 'creative strategy,' 'creative roadmap,' 'creative retro,' 'hook writing,' 'creative review page,' 'present ad creative for approval,' 'motion video ad,' 'faceless video ad,' 'UGC ad,' 'greenscreen ad,' 'TikTok/Reels ad format,' 'which ad format to make,' 'Meta ad format tier list,' or 'creative format taxonomy.' Use it to produce or iterate ad copy at scale. Copy avoids AI tells like 'it's not X, it's Y' reveals. For campaign strategy and targeting, see ads. For landing page copy, see copywriting.
When the user wants to generate, iterate, or scale ad creative — headlines, descriptions, primary text, or full ad variations — for any paid advertising platform. Also use when the user mentions 'ad copy variations,' 'ad creative,' 'generate headlines,' 'RSA headlines,' 'bulk ad copy,' 'ad iterations,' 'creative testing,' 'write me some ads,' 'Facebook ad copy,' 'Google ad headlines,' 'LinkedIn ad text,' 'static ads,' 'ad templates,' 'iMessage ad,' 'chat reveal ad,' 'ChatGPT ad,' 'Apple Notes ad,' 'AirDrop ad,' 'creative strategy,' 'creative roadmap,' 'creative retro,' 'hook writing,' 'creative review page,' 'present ad creative for approval,' 'motion video ad,' 'faceless video ad,' 'UGC ad,' 'greenscreen ad,' 'TikTok/Reels ad format,' 'which ad format to make,' 'Meta ad format tier list,' or 'creative format taxonomy.' Use it to produce or iterate ad copy at scale. Copy avoids AI tells like 'it's not X, it's Y' reveals. For campaign strategy and targeting, see ads. For landing page copy, see copywriting.
metadata.version
2.9.3
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.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, 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)
Any mandatory elements? (Brand name, trademark symbols, disclaimers)
How This Skill Works
This skill supports four 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
Mode 3: Scaled Static Batches (Grounded)
For recurring static ad production at volume (e.g., 50 concepts per batch), work from a and the . Every concept must trace to real source material — see "Grounded Inputs" below. To run this on a daily or weekly cadence, see the daily-creative-drop loop in . To present a batch for client or stakeholder approval, produce a .
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. The full system lives in references/creative-roadmap.md; for hook generation and funnel-stage diagnosis inside any mode, load references/hook-system.md.
Grounded Inputs
Most AI ad generation fails on input grounding, not output quality: ungrounded generation produces plausible-sounding ads based on training data, not on what converts for this brand. For scaled production (Mode 3), 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/)
Why each input matters:
Winning ads carry the hooks, structures, and angles already proven for this brand
Reviews carry the exact language buyers use for pain, transformation, and unexpected benefits — pull copy from them verbatim rather than paraphrasing
Ad comments are the most-skipped and highest-value input: objections ("but does it work for X?") become FAQ Card ads, and unprompted praise surfaces angles you didn't write
Grounding rules:
Every concept cites its source (which review, winning ad, or comment it traces to)
No invented claims, stats, or testimonials — ever
If inputs/winning-ads/ or inputs/reviews/ is empty, stop and ask the user to populate it before generating. Do not generate ungrounded concepts as a fallback.
Inputs decay: refresh inputs/winning-ads/ as new ads scale; refresh inputs/reviews/ and inputs/comments/ monthly
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.
Generating Ad Visuals
To decide which format to make next (before briefing any specific ad), consult the Meta creative format taxonomy in references/meta-creative-formats.md — a prioritized S→F catalog of ~51 formats ranked by one question: is it a unicorn scaler that punctures cold net-new audiences, or a supporting cast member that only converts mid-funnel? Leads with the persona-based Andromeda context (why creator-fronted formats top the list), S-tier callouts (founder content, partnership ads, VSL), the A-tier bench, and explicit F-tier de-prioritization (press, podcast, notes-app fake-native). Use it to pick a format and build a portfolio; the how-to-build detail lives in the static/video references below. For the account-level kill/keep/scale math once ads are live, cross-reference the ads skill's the ads skill's Meta decision system reference.
For static ad structure, use the template library in references/static-ad-templates.md — layout frameworks (Us vs. Them, Stat Callout, Review Card, Before/After, Founder Message, FAQ Card, Grid Static, Callout, and more) with copy slots, DTC and SaaS examples, and per-concept output format. Each template carries a tier (S–F) and funnel role (unicorn cold-scaler vs. mid-funnel supporting cast) so you reach for the right one first. Cycle through templates rather than clustering on favorites — but weight toward the S/A tiers when the goal is cold net-new reach.
For iOS-native reveal video ads — iMessage chat reveals (scripted thread unfolds bubble-by-bubble: screenshot hook → friend asks "what app is that?" → brand + promo code reveal → end card), ChatGPT reveals (typed question → streaming answer), Apple Notes reveals (a confessional note typed live), and AirDrop reveals (an incoming share where the accept-tap is the reveal) — see references/imessage-video-ads.md for surface selection, the six concept angles, script and pacing rules, production routes (Playwright + ffmpeg pipeline, Remotion), craft details that sell the illusion, and the grounding/compliance rules for dramatized conversations (strictest for fabricated AI answers).
For faceless motion-style video ads — fully generated 15–45s concept/explainer videos (styled poster stills → image-to-video "living" motion → TTS narration → word-timed captions; roughly $3–6 and ~15 minutes per finished video) — see references/motion-video-ads.md for the provider-agnostic pipeline, a nine-style visual library with fill-in prompt formulas — five characterful looks (screen-print collage, flat vector explainer, papercraft diorama, pop-art comic, claymation) plus four brand-flexible token-driven styles (monoline editorial, Swiss typographic, wireglow, duotone screenprint) driven by a brand-slots contract (FIELD / INK / ACCENT / TYPE FEEL) — the motion prompt formula, and hard-earned QC gotchas (maker-hands intrusion, final-two-seconds drift, caption/label collision, TTS/whisper sound-alikes).
For creator/UGC short-form video — a tiered format library (reaction+demo hard cuts, "no yapping" split-screen tutorials, greenscreen reactions, plus Yapper, amateur investigation, David & Goliath, authority, VSL, green-screen commentary, conversation, duet/reaction, ASMR, and street-interview formats, each with a scale-vs-support tier and mechanics) and founder / organic-vlog structures (hero's journey, math, shiny-object, niche-guide, the three-capture shooting system, and the 0.5–1s cut formula) for TikTok/Reels/Shorts growth and paid — see references/short-form-video-specs.md. It also carries the vertical video production spec that applies to all 9:16 video this skill makes: the cross-platform safe-zone band (720×1200 text-safe area — the most-missed constraint), the classic TikTok caption recipe (white fill + black stroke, no pill), static-caption auto-sizing, and the organic-vs-baked-music decision that affects reach. Load it before producing any vertical video.
For image and video generation tools, see 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, Seedance, Higgsfield for video ads
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:
Generate hero creative with AI tools (exploratory, high-quality)
Build Remotion templates based on winning patterns
Batch produce variations with Remotion using data feeds
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 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")
Avoid:
Jargon the audience won't recognize
Claims without specificity ("Best," "Leading," "Top")
All caps or excessive punctuation
Clickbait that the landing page can't deliver on
No AI Tells
Ad copy that reads as generated looks like every other ad in the feed, and generating at volume multiplies whatever tic the first draft has. Check the whole batch.
Never write these:
Contrast reveals: "It's not X, it's Y." "Not because X. Because Y." State Y directly, with the reason.
Negation lists: "No X, no Y, no Z." Say what does happen. One plain absence ("No card required") is fine.
Trailing pile-ons: a full claim, then a comma and more restating clauses. End the sentence at the claim.
Self-answered questions and colon reveals: "The result? 3x faster." "The best part: it learns." FAQ questions and a question in the reader's own voice are fine.
Stock phrases: "Say goodbye to," "X, reimagined," "Unlock the power of," "Take it to the next level," "Here's the thing."
Em dashes in headlines, descriptions, and primary text.
Ad-specific tells:
Stacked negations to fit a character limit: "No setup. No fees. No contracts." Keep the one that matters most and use the space for a fact.
Hook slop: a generic "POV:", "Stop scrolling," "Here's what nobody tells you about X." Earn the next second with something specific to the viewer. A POV hook is fine when the situation is hyper-specific ("POV: it's 3pm and you're on your fourth coffee").
CTA slop: "Get started today," "Join thousands of happy customers." Name the action and what they get.
Across a batch, vary the sentence shapes. Ten variations that all open the same way read as generated, even when each one is fine alone. For the full blacklist, use the copywriting skill's AI-tells reference.
Descriptions That Convert
Descriptions should complement headlines, not repeat them. Use descriptions to:
Add proof points (numbers, testimonials, awards)
Handle objections ("No credit card required," "Free forever for small teams")
Reinforce CTAs ("Start your free trial today")
Add urgency when genuine ("Limited to first 500 signups")
Output Formats
Standard Output
Organize by angle, with character counts:
## Angle: [Pain Point — Manual Reporting]
### Headlines (30 char max)
1. "Stop Building Reports by Hand" (29)
2. "Automate Your Weekly Reports" (28)
3. "Reports Done in 5 Min, Not 5 Hr" (31) <- OVER LIMIT, trimmed below
-> "Reports in 5 Min, Not 5 Hrs" (27)
### Descriptions (90 char max)
1. "Marketing teams save 10+ hours/week with automated reporting. Start free." (73)
2. "Connect your data sources once. Get automated reports forever. No code required." (80)
Bulk CSV Output
When generating at scale (10+ variations), offer CSV format for direct upload:
headline_1,headline_2,headline_3,description_1,description_2,platform
"Stop Manual Reporting","Automate in 5 Minutes","Join 10K+ Teams","Save 10+ hrs/week on reports. Start free.","Connect data sources once. Reports forever.","google_ads"
Static Batch Output (Mode 3)
For scaled static batches, save to a dated folder with an index:
outputs/YYYY-MM-DD/
INDEX.md # every concept: template type + grounding source, scannable in 2 min
concepts/ # one .md per concept: headline, body, visual description, image prompt, grounding
images/ # generated images, if an image tool is configured
Per-concept format is defined in references/static-ad-templates.md. The human workflow this supports: open the folder, scan INDEX.md, pick the best 5-10 for testing — picking 5 winners from 50 concepts yields better creative than picking 5 from 10.
When a person who isn't you needs to review and pick — a client, a partner, a stakeholder — produce a creative review page: a self-contained HTML artifact that presents each concept as an in-feed platform mockup (Instagram/Facebook, with a whitelist-handle toggle), breaks carousels into a labeled frame-by-frame storyboard, lets them toggle headline/copy variations, and discloses what's grounded in real assets. It's the visual upgrade to INDEX.md — a decision made off one link instead of by reading markdown. The template ships at assets/creative-review-template.html (one file, no build, hostable anywhere); populate its DATA object from your generated concepts. Full data model, grounding rules (the disclosure block is required), and delivery in references/creative-review-page.md.
Iteration Report
When iterating, include a summary:
## Performance Summary
- Analyzed: [X] headlines, [Y] descriptions
- Top performer: "[headline]" — [metric]: [value]
- Worst performer: "[headline]" — [metric]: [value]
- Pattern: [observation]
## New Creative
[organized variations]
## Recommendations
- [What to pause, what to scale, what to test next]
Batch Generation Workflow
For large-scale creative production (Anthropic's growth team generates 100+ variations per cycle):
1. Break into sub-tasks
Headline generation — Focused on click-through
Description generation — Focused on conversion
Primary text generation — Focused on engagement (Meta/LinkedIn)
