--- name: ad-creative description: "Generate platform-specific ad copy. Use when: Google RSA, Meta, LinkedIn, TikTok ad variations with quality scoring." argument-hint: "[platform]" --- # /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. - **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: | Asset type | Recommended model (May 2026) | When to use | Compliance note | |---|---|---|---| | Product hero stills, lifestyle photography, e-commerce tiles | **Google Nano Banana Pro** (Gemini 3 Pro Image, multi-image composition, character/object consistency) | Strong text rendering inside images (logos, on-pack copy), brand-character consistency across a campaign, high-fidelity product realism. | Outputs ship with SynthID watermarking by default; ALSO sign with C2PA via `/digital-marketing-pro:c2pa-metadata` before any EU distribution. | | Short-form social video (≤8s reels, organic vertical) | **Gemini Veo 3.1** (synchronized native audio, longer/more coherent clips than Veo 3.0) | Reels, TikTok, Shorts cut-downs, ad-creative experimentation. | Synthetic-voice / synthetic-human content must carry a visible deepfake disclosure under EU Article 50 — see `skills/context-engine/compliance-rules.md` §1.1b. | | Long-form video with native audio / multi-modal storytelling | **Gemini Omni** (multimodal generation, May 2026 I/O launch — text + image + audio + video unified) | Connected-content campaigns where a single brief produces a hero film, social cut-downs, audio version, and stills consistently. Best for brands with disciplined creative governance — Omni's range outpaces most brand-safety review processes. | Default Omni outputs carry SynthID + Gemini provenance markers. Add C2PA before EU publish. Run synthetic-person outputs past Legal — Omni's photoreal humans frequently hit "substantial AI manipulation" thresholds under Article 50. | | Static image — fast iteration / mood-boarding | OpenAI gpt-image-2, Midjourney v7, Adobe Firefly | Internal mood boards, concept exploration. Not for shipped EU creative without C2PA. | None of these auto-embed C2PA — manually sign with `/digital-marketing-pro:c2pa-metadata` before EU publish. | **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