ad-creative

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Generate platform-specific ad copy. Use when: Google RSA, Meta, LinkedIn, TikTok ad variations with quality scoring.

AI & Automation 636 stars 110 forks Updated 1 weeks ago MIT

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Quality Score: 93/100

Stars 20%
93
Recency 20%
90
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# /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 constr...

Details

Author
indranilbanerjee
Repository
indranilbanerjee/digital-marketing-pro
Created
5 months ago
Last Updated
1 weeks ago
Language
Python
License
MIT

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