ad-creative
Generate 3-5 ad copy variations per platform — headlines, descriptions, and CTAs formatted to Google, Meta, LinkedIn, TikTok, X, and Pinterest specs — each scored 1-10 with policy-compliance flags, A/B testing groupings, and a message-match check against the landing page.
Install / Use
npx skills add indranilbanerjee/digital-marketing-pro --skill ad-creativeInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
MarketingSupported Platforms
Our assessment of ad-creative
ad-creative scores 82/100 on our quality scale, 509th of 610 Marketing skills we index.
Its SKILL.md is 6.5 KB long, split into 7 sections and no code examples: a thorough specification that gives an agent plenty to work with.
It has 832 GitHub stars, a meaningful sign that others use it.
Maintenance, license and trust
- The repository was last updated 26 days ago, so ad-creative is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
ad-creative compared with similar skills
All 4 of these similar skills score higher than ad-creative; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| ad-creative (this skill)by indranilbanerjee | 82 | 832 | 26d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 90.1k | 18d ago | CLAUDE.md |
| algorithmic-artby anthropics | 100 | 177.9k | 11d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 11d ago | SKILL.md |
| designby nextlevelbuilder | 100 | 130.2k | 12d ago | SKILL.md |
Frequently asked questions
- How do I install ad-creative?
- Run
npx skills add indranilbanerjee/digital-marketing-pro --skill ad-creative. The install tabs above show the steps for each supported agent. - Which AI agents does ad-creative work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is ad-creative safe to use?
- It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is ad-creative still maintained?
- The repository was last updated 26 days ago, so ad-creative is actively maintained.
Skill content
View source on GitHubname: ad-creative description: "Generate 3-5 ad copy variations per platform — headlines, descriptions, and CTAs formatted to Google, Meta, LinkedIn, TikTok, X, and Pinterest specs — each scored 1-10 with policy-compliance flags, A/B testing groupings, and a message-match check against the landing page. Triggers on "/digital-marketing-pro:ad-creative", "write ad copy for Meta", "give me RSA headline variations", "we need LinkedIn ad copy", "draft TikTok ad creative". Reads the brand profile, guidelines, and compliance rules; routes video ad scripts to /digital-marketing-pro:video-script and gates AI-generated visuals for EU campaigns through /digital-marketing-pro:c2pa-metadata and /digital-marketing-pro:check." 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. 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
- 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 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:
- 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
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
