Borrowing it
Nothing to install: this file belongs to PSYOP-Z/UIUXProMax. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/PSYOP-Z/UIUXProMax/main/.claude/skills/banner-design/SKILL.mdgit clone --depth 1 https://github.com/PSYOP-Z/UIUXProMaxWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/psyop-z/uiuxpromax/banner-design)<a href="https://agentmods.dev/skills/psyop-z/uiuxpromax/banner-design"><img src="https://agentmods.dev/badge/skills/psyop-z/uiuxpromax/banner-design/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/psyop-z/uiuxpromax/banner-design"><img src="https://agentmods.dev/badge/skills/psyop-z/uiuxpromax/banner-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00121 | $0.02152 |
| Opus 5 | $0.00060 | $0.01076 |
| Sonnet 5 | $0.00024 | $0.00430 |
| Haiku 4.5 | $0.00012 | $0.00215 |
Grade A, and why
ckm:banner-design scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
94% identical to banner-design — 107 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Banner Design - Multi-Format Creative Banner System
Design banners across social, ads, web, and print formats. Generates multiple art direction options per request with AI-powered visual elements. This skill handles banner design only. Does NOT handle video editing, full website design, or print production.
When to Activate
- User requests banner, cover, or header design
- Social media cover/header creation
- Ad banner or display ad design
- Website hero section visual design
- Event/print banner design
- Creative asset generation for campaigns
Workflow
Step 1: Gather Requirements (AskUserQuestion)
Collect via AskUserQuestion:
- Purpose — social cover, ad banner, website hero, print, or creative asset?
- Platform/size — which platform or custom dimensions?
- Content — headline, subtext, CTA, logo placement?
- Brand — existing brand guidelines? (check
docs/brand-guidelines.md) - Style preference — any art direction? (show style options if unsure)
- Quantity — how many options to generate? (default: 3)
Step 2: Research & Art Direction
- Activate
ui-ux-pro-maxskill for design intelligence - Use Chrome browser to research Pinterest for design references:
Navigate to pinterest.com → search "[purpose] banner design [style]" Screenshot 3-5 reference pins for art direction inspiration - Select 2-3 complementary art direction styles from references:
references/banner-sizes-and-styles.md
Step 3: Design & Generate Options
For each art direction option:
-
Create HTML/CSS banner using
frontend-designskill- Use exact platform dimensions from size reference
- Apply safe zone rules (critical content in central 70-80%)
- Max 2 typefaces, single CTA, 4.5:1 contrast ratio
- Inject brand context via
inject-brand-context.cjs
-
Generate visual elements with
ai-artist+ai-multimodalskillsa) Search prompt inspiration (6000+ examples in ai-artist):
python3 .claude/skills/ai-artist/scripts/search.py "<banner style keywords>"
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 193 lines · 121 tokens per session scan A b55b30c763e2
ckm:banner-design is a skill published in the GitHub repository PSYOP-Z/UIUXProMax (22 stars, last pushed 4mo ago), licensed MIT. It adds 121 tokens to every session and 2,152 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to banner-design, differing in 107 lines, and is treated as a copy.
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