AI Design Skills is a collection of reusable design instructions for AI coding tools, with each skill stored as a self-contained markdown file. Developers use the skills to guide tasks such as creating landing pages, and the catalogue lists one of these skills.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add elayadesign/ai-design-skills --skill landing-page-designgit clone --depth 1 https://github.com/elayadesign/ai-design-skillsWrote 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/elayadesign/ai-design-skills/landing-page-design)<a href="https://agentmods.dev/skills/elayadesign/ai-design-skills/landing-page-design"><img src="https://agentmods.dev/badge/skills/elayadesign/ai-design-skills/landing-page-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/elayadesign/ai-design-skills/landing-page-design"><img src="https://agentmods.dev/badge/skills/elayadesign/ai-design-skills/landing-page-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00135 | $0.04219 |
| Opus 5 | $0.00068 | $0.02109 |
| Sonnet 5 | $0.00027 | $0.00844 |
| Haiku 4.5 | $0.00014 | $0.00422 |
Grade A, and why
landing-page-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 13d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- landing-page-design — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 404 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Landing Page Design
A landing page is not a homepage. A homepage serves multiple intents. A landing page wins one intent:
one offer → one audience → one primary action.
This skill has two halves. Part A decides what the page says and how it is structured. Part B is the non negotiable visual system. Work through A before touching B.
Scope
Apply to all web UI work: landing pages, marketing sites, components, dashboards, prototypes, and design reviews. When a rule here conflicts with a framework default, this file wins. When the user's explicit prompt conflicts with a rule, the user wins.
Companion skill. For upgrading an existing site rather than building a new one, use redesign-existing-projects (github.com/elayadesign/redesign-skill). It diagnoses generic patterns and defers to this file for every concrete value.
PART A — Strategy and structure
A1. Intake
Gather these before designing or writing. Ask only for what is missing, and ask in one batch rather than one question at a time.
Purpose
- What is the ONE primary action? (trial, demo, buy, waitlist, download)
- What is the offer, exactly what do they get?
- What counts as a conversion? (click, signup, purchase)
Audience and context
- Who is the ICP?
- What problem are they trying to solve?
- Top three objections, meaning why they do not convert today
- Traffic source: ads, search, social, email
- What do visitors already know when they land?
Proof and assets
- Proof points: logos, testimonials, numbers, case studies
- Screenshots, demo video, product GIFs
- Guarantees, refund terms, cancellation terms
Constraints
- Brand voice: casual or professional
- Design direction: minimal editorial, playful 3D, glass UI
- Mobile priority?
If the user cannot answer, make a reasonable assumption, state it in one line, and continue. Do not stall the build.
A2. Page structure
Above the fold (required)
- Headline, outcome plus audience
- Subheadline, clarifies how and adds specificity
- Primary CTA, clear verb plus what they get
- One proof signal, logo strip, stat, or short testimonial
- Hero visual, product screenshot or video, or a strong illustration
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.
- 13d ago First seen · 404 lines · 135 tokens per session scan A 3aae79f3d33e
landing-page-design is a skill published in the GitHub repository elayadesign/ai-design-skills (2,062 stars, last pushed 1mo ago), licensed MIT. It adds 135 tokens to every session and 4,219 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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