hashgraph-online /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
- Load brand context: Read
~/.claude-marketing/brands/_active-brand.jsonfor 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. - Identify platform-specific constraints: character limits, format requirements, policy restrictions
- Generate 3-5 ad copy variations per platform, each with a distinct angle (benefit, urgency, social proof, curiosity, direct)
- Score each variation on: brand alignment, clarity, emotional impact, CTA strength, policy compliance
- Flag any potential policy violations (restricted claims, prohibited language)
- Recommend A/B testing groupings and priority order
- 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 2.5 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-1, 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:
- Brief the visual concept in this skill's output (subject, composition, brand-character constraints, on-pack text if any).
- 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. - 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
Source: hashgraph-online/awesome-codex-plugins → plugins/indranilbanerjee/digital-marketing-pro/skills/ad-creative/SKILL.md