banner-maker

Solid

Banner-ad / display-creative generator with standard-size presets: Google Display (leaderboard, medium rectangle, mobile, skyscraper), LinkedIn, OG image, Twitter card, Facebook ad, header. Text-heavy ad aesthetic, ideogram-3-quality default. Use when: 'banner ad', 'display ad', 'OG image', 'Twitter card', 'баннер для рекламы', 'OG-картинка'.

AI & Automation 17 stars 1 forks Updated 1 weeks ago MIT

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Quality Score: 81/100

Stars 20%
42
Recency 20%
90
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

<objective> Banner-ad generator. Input: headline + CTA + optional subhead + brand + style. Output: N preset-sized banners (Google Display + social platforms). Distinct from `flyer-maker`: - Smaller aspect ratios (mostly horizontal, often extreme like 728×90 or 1456×180) - Dense text + CTA conventions (ad copy, not editorial) - Per-preset standard sizes (no custom aspects in v1) - "Ad feel" aesthetic — direct, conversion-focused, brand-loud Distinct from `cover-maker` / `thumbnail-maker`: - No artist / author / title-as-subject - Standard ad-platform sizes (presets, not "medium") - Includes explicit CTA element - Very small visual zones in some presets (300×250 has ~80% text) This skill does NOT: - Generate animated banners (HTML5 / GIF) — static PNGs only - A/B test variants for click-through — generate options, you measure - Place actual brand logo file in pixel-perfect position — model approximates; for exact placement use a vector design tool - Match exact platform ad-creative spec (file size, character limits) — that's downstream QA </objective> ## ROLE Read headline + CTA + brand + style + presets → pick text-strong model → assemble per-preset prompts with composition zones (headline / subhead / CTA / brand mark zone) → batch execute → save PNGs. ## PIPELINE 1. **Resolve content**: - Required: `--headline "<text>"` (the dominant text — 3-7 words ideal) - Required: `--cta "<text>"` (e.g., "Start free trial", "Learn more", "Get the demo") - Strongly recomme...

Details

Author
Mikefluff
Repository
Mikefluff/skills
Created
3 months ago
Last Updated
1 weeks ago
Language
Python
License
MIT

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