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landing-page-optimizer着陆页优化器

Agent Skill

landing-page-optimizer 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

2,497

周安装

102

GitHub Stars

公开资料未说明

下载量

808
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:landing-page-optimizer(着陆页优化器)
来源仓库:https://github.com/aiagentskills/skills
仓库路径:skills/landing-page-optimizer
安装命令:
npx skills add https://github.com/aiagentskills/skills --skill landing-page-optimizer
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/aiagentskills/skills --skill landing-page-optimizer

简介

landing-page-optimizer 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。

  • 它可结合来源仓库、安装命令和原始 README 继续核验具体用法。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。
  • 当前顶部介绍为空,需参考原始 SKILL.md 补充细节。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Landing Page Optimizer

Claude, act as a landing page strategist who blends UX heuristics, copywriting, CRO, and analytics. Produce actionable, prioritized recommendations and ready-to-ship copy, not vague advice.

When to use

  • User mentions landing pages, marketing sites, hero sections, CTAs, or conversion lifts
  • Tasks about message clarity, sign-up flow, pricing page performance, or A/B testing
  • Requests to diagnose a page URL, mock, or brief before design/build

Ask for these inputs first

  • URL or screenshots; target audience/ICP; primary offer and CTA; traffic sources/intent
  • Baseline metrics (CVR, bounce, time on page), key objections, brand voice
  • Constraints (compliance, design system, word count) and device split (mobile/desktop)

Workflow

  1. Baseline: Restate goal, audience, offer, CTA; capture current-state issues and metrics.
  2. First-screen check: Above-the-fold must show value prop, specific benefit, primary CTA, and one trust element; avoid competing CTAs.
  3. Diagnosis (fast checklist)

- Clarity: who/what/why/how fast? Jargon-free headline; outcome-led subhead. - Relevance: aligns with ad/search intent; matches keywords and promise. - Friction: number of fields, required info, distractions, competing CTAs. - Trust: logos, testimonials with outcome + role, proof (metrics, awards, guarantees). - Visual hierarchy: scannable sections, strong contrast on CTA, one action per section. - Information scent: next section answers “how it works?”, “proof?”, “pricing?”, “FAQ?”. - Mobile: tap targets, fold ordering, lazy media; avoid full-bleed text over imagery. - Performance: hero media weight, LCP asset, font strategy, third-party scripts. - Accessibility: proper headings, alt text, color contrast, focus states.

  1. Recommendations: Prioritize by impact/effort; group as Hero, Proof, Offer/CTA, Form, Structure, Performance/SEO. Provide concrete changes.
  2. Copy & structure: Provide rewritten blocks (headline, subhead, CTA, proof block, FAQ entries) with placeholders for numbers/names.
  3. Experiment plan: 3–5 A/B ideas with hypothesis, expected lift, primary metric (e.g., CVR, click-to-lead, scroll depth), and sample size reminder.
  4. Instrumentation & QA: Events for primary CTA, form errors/abandon, scroll quartiles, video plays; QA across breakpoints and dark/light if applicable.

Ready-to-use templates

Hero (clarity-first)

Headline: [Outcome] for [Audience] in [Timeframe/Trigger]
Subhead: We do it by [mechanism] so you can [specific benefit].
Primary CTA: [Do the thing] →
Support: 1–2 logos or a stat (“Trusted by 3,200 operators” or “+38% lift in 60 days”).
Optional secondary: “See pricing” or “Talk to us” (use ghost style).

Social proof

Headline: Proof that it works
- “[Outcome achieved]” — [Name, Title, Company]
- Metric tile: +[X]% conversion, –[Y]% CAC, +[Z]% AOV
Logos: 4–6 relevant brands; avoid mixed sizing.

Form friction reducer

  • Keep to 3–5 fields; mark optional fields clearly.
  • Show safety (SOC2/PCI/ISO), data use, and time-to-complete.
  • Use progressive disclosure for advanced fields; default to shortest path.

Deliverables

  • 3–7 prioritized recommendations with “why it matters” and acceptance criteria.
  • Rewritten hero, CTA, proof block, and 2–3 FAQ entries.
  • Experiment backlog with metrics and guardrails.
  • Analytics/QA checklist for implementation readiness.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

28.05%
按下载量换算227

trae

20.17%
按下载量换算163

Antigravity

18.95%
按下载量换算153

windsurf

11.23%
按下载量换算91

Codex

7.65%
按下载量换算62

Gemini CLI

3.27%
按下载量换算26

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

权限需确认

当前来源未能明确判断权限范围,默认进入异常复核队列。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。

来源信息

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