/digital-marketing-pro:ad-creative

Purpose

Generate high-performing ad copy variations tailored to specific platforms and formats. Each variation is scored for quality and compliance, with recommendations for testing strategy.

Input Required

The user must provide (or will be prompted for):

• Product/service: What is being advertised
• Platform(s): Google Ads, Meta (Facebook/Instagram), LinkedIn, TikTok, X, Pinterest
• Ad format: RSA, single image, carousel, video script, story, etc. For video ad scripts (6s bumper, 15s skippable, 30s spot, UGC-style), route to /digital-marketing-pro:video-script — its step 2.4 carries the per-format structural rules (the 5-second skip deadline, one-message bumpers, native-style disclosure) and its output passes the /check gate. This skill owns the copy layer around the video: headlines, descriptions, and CTAs.
• Campaign objective: Awareness, traffic, leads, conversions, app installs
• Target audience: Who the ads are for
• Key offer/CTA: Promotion, value prop, or desired action
• Landing page URL: Where the ad will drive traffic (optional)

Process

1. Load brand context: Read ~/.claude-marketing/brands/_active-brand.json for the active slug, then load ~/.claude-marketing/brands/{slug}/profile.json. Apply brand voice, compliance rules for target markets (skills/context-engine/compliance-rules.md), and industry context. Also check for guidelines at ~/.claude-marketing/brands/{slug}/guidelines/_manifest.json — if present, load restrictions and relevant category files. Check for custom templates at ~/.claude-marketing/brands/{slug}/templates/. Check for agency SOPs at ~/.claude-marketing/sops/. If no brand exists, ask: "Set up a brand first (/digital-marketing-pro:brand-setup)?" — or proceed with defaults.
2. Identify platform-specific constraints: character limits, format requirements, policy restrictions
3. Generate 3-5 ad copy variations per platform, each with a distinct angle (benefit, urgency, social proof, curiosity, direct)
4. Score each variation on: brand alignment, clarity, emotional impact, CTA strength, policy compliance
5. Flag any potential policy violations (restricted claims, prohibited language)
6. Recommend A/B testing groupings and priority order
7. If landing page URL is provided, check message match between ad and page

Output

Per platform, a set of ad copy variations including:

• Headlines, descriptions, and CTAs formatted to platform specifications
• Quality score (1-10) with reasoning per variation
• Policy compliance check with flagged issues
• A/B testing recommendation with hypothesis for each test
• Message match assessment (if landing page provided)
• Creative direction notes for visual/video assets (see AI image/video generation guidance below)

AI image & video generation guidance (May 2026)

When the brief includes static visuals or short-form video, recommend the model that fits the use case and call out the compliance overhead:

Workflow recommendation:

1. Brief the visual concept in this skill's output (subject, composition, brand-character constraints, on-pack text if any).
2. Hand the visual spec to whichever production track owns image/video — your design team, any AI image/video tool (the model table above maps use-case → generator), or a connected design platform (e.g. the Canva / Figma MCP connectors listed in /digital-marketing-pro:integrations). The spec is deliberately tool-agnostic: any production track can consume it unchanged.
3. Treat all AI-generated visuals as Article 50 in-scope until proven otherwise. The pre-publish gate (/digital-marketing-pro:check) blocks unsigned AI assets for EU-targeted campaigns.

Agents Used

• content-creator — Ad copy generation, angle development, CTA crafting
• media-buyer — Platform specs, policy compliance, testing strategy
• brand-guardian — Voice alignment, compliance review, claim verification