landing-page

landing-page is a skill for Claude Code, Codex from shawnpang/startup-founder-skills. It costs 37 tokens per session (1,675 once invoked), scanned A, original, MIT.

A guide for creating, reviewing, or improving landing pages: focused web pages designed to persuade visitors to take one main action.

In plain words
What is it for?
Use it to draft pages, rewrite headlines and CTAs, improve layout, audit conversion problems, structure sections for specific audiences, and create A/B test variants.
Why use it?
It helps clarify the page’s message, structure, headline, and call to action instead of treating every page like a general website.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to draft pages, rewrite headlines and CTAs, improve layout, audit conversion problems, structure sections for specific audiences, and create A/B test variants.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/shawnpang/startup-founder-skills/landing-page
Install

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.

Any agent
npx skills add shawnpang/startup-founder-skills --skill landing-page
Clone the repo
git clone --depth 1 https://github.com/shawnpang/startup-founder-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for landing-page

README.md
[![agentmods](https://agentmods.dev/badge/skills/shawnpang/startup-founder-skills/landing-page/github.svg)](https://agentmods.dev/skills/shawnpang/startup-founder-skills/landing-page)
Your own site
<a href="https://agentmods.dev/skills/shawnpang/startup-founder-skills/landing-page"><img src="https://agentmods.dev/badge/skills/shawnpang/startup-founder-skills/landing-page/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.

agentmods 80×15 button for landing-page

Your own site · 80×15
<a href="https://agentmods.dev/skills/shawnpang/startup-founder-skills/landing-page"><img src="https://agentmods.dev/badge/skills/shawnpang/startup-founder-skills/landing-page.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,675 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00037 $0.01675
Opus 5 $0.00018 $0.00838
Sonnet 5 $0.00007 $0.00335
Haiku 4.5 $0.00004 $0.00168

Measured 13d ago against content hash 364768188b81, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

landing-page 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/landing-page/SKILL.md · 84 lines

How it starts

The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Landing Page

When to Use

  • Creating a new landing page from scratch (product launch, feature page, waitlist).
  • Auditing an existing page for conversion rate optimization (CRO).
  • Rewriting headlines, CTAs, or hero sections.
  • Structuring page sections for a specific audience and traffic source.
  • Generating A/B test variants for copy or layout changes.

Context Required

  • From startup-context: product description, ICP (ideal customer profile), value proposition, competitive positioning, stage, tone of voice.
  • From the user: page URL or current copy (if auditing), page type (homepage, landing page, pricing, feature, blog), primary conversion goal (signup, demo, purchase, subscribe, download), traffic source (organic, paid, email, social), any existing conversion data or user research.

Workflow

  1. Identify page type and conversion goal -- Every page gets one primary conversion action. Determine whether this is a homepage, landing page, pricing page, feature page, or blog post -- each has a different CRO framework.
  2. Assess value proposition clarity -- Can a visitor understand what this is and why they should care within 5 seconds? Check whether copy is benefit-focused (good) or feature-focused (common problem). Ensure it is written in the customer's language, not company jargon.
  3. Evaluate headline effectiveness -- Does the headline communicate the core value proposition? Is it specific enough to be meaningful? Does it match the traffic source's messaging? Apply headline patterns:
    • Outcome-focused: "Get [desired outcome] without [pain point]"
    • Specificity: Include numbers, timeframes, or concrete results
    • Social proof: "Join [N] teams who [achieve outcome]"
    • Direct address: "You [do painful thing]. There's a better way."
  4. Audit CTA placement, copy, and hierarchy -- Is there one clear primary action visible without scrolling? Does button copy communicate value, not just action? ("Start my free trial" beats "Submit"). Check CTA hierarchy: primary vs. secondary, repeated at key decision points.
  5. Check visual hierarchy and scannability -- Can someone scanning the page get the main message? Are the most important elements visually prominent? Is there sufficient whitespace? Do images support or distract from the message?
  6. Evaluate trust signals and social proof -- Look for: customer logos (especially recognizable ones), testimonials with specifics and attribution, case study snippets with real numbers, review scores, security badges. Place trust signals near CTAs and after benefit claims.
  7. Identify objection handling -- Are common objections addressed? Price/value concerns, "will this work for me?", implementation difficulty, "what if it doesn't work?" Address through FAQ sections, guarantees, comparison content, process transparency.
  8. Find friction points -- Too many form fields, unclear next steps, confusing navigation, required fields that should not be required, poor mobile experience, slow load times.

Read the full file on GitHub · 84 lines

Changes

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.

  1. 13d ago First seen · 84 lines · 37 tokens per session scan A 364768188b81

Subscribe to this mod's changes

landing-page is a skill published in the GitHub repository shawnpang/startup-founder-skills (321 stars, last pushed 6mo ago), licensed MIT. It adds 37 tokens to every session and 1,675 once invoked, about $0.0002 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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