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ads-landing广告登陆

Agent Skill

ads-landing 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

655

周安装

8

GitHub Stars

3

下载量

65
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

2

许可证

unknown

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:ads-landing(广告登陆)
来源仓库:https://github.com/megastep/codex-skills
仓库路径:skills/ads-landing
安装命令:
npx skills add https://github.com/megastep/codex-skills --skill ads-landing
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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/megastep/codex-skills --skill ads-landing

简介

ads-landing 用于查找、检索和筛选相关信息。

  • 适合根据关键词、任务场景或来源线索快速定位候选结果。
  • 可在 Codex、Claude、Cursor、Gemini CLI 中辅助信息聚合与匹配。
  • 安装前需确认权限范围和维护状态,注意是否触发联网或命令执行。
  • 建议结合原始 README 核验具体功能和使用方式。

SKILL.md

Landing Page Quality for Ad Campaigns

Process

  1. Collect landing page URLs from active ad campaigns
  2. Read ../ads/references/benchmarks.md for conversion rate benchmarks
  3. Read ../ads/references/conversion-tracking.md for pixel/tag verification
  4. Assess each landing page for ad-specific quality factors
  5. Score landing pages and identify improvement opportunities
  6. Generate recommendations prioritized by conversion impact

Message Match Assessment

The #1 landing page issue in ad campaigns — does the page match the ad?

What to Check

  • Headline match: landing page H1 reflects ad copy headline/keyword
  • Offer match: promoted offer (price, discount, trial) is visible above fold
  • CTA match: landing page CTA matches ad's promised action
  • Visual match: consistent imagery between ad creative and page
  • Keyword match: search keyword appears naturally in page content

Message Match Scoring

LevelDescriptionScore
Exact matchHeadline, offer, CTA all align perfectly100%
Partial matchHeadline matches but offer/CTA differs60%
Weak matchGeneric page, loosely related to ad30%
MismatchPage content doesn't reflect ad promise0%

Page Speed Assessment

Slow pages kill conversion rates. For every 1s delay, CVR drops ~7%.

Thresholds (Ad Landing Pages)

MetricPassWarningFail
LCP<2.5s2.5-4.0s>4.0s
FID/INP<100ms100-200ms>200ms
CLS<0.10.1-0.25>0.25
Time to Interactive<3.0s3.0-5.0s>5.0s
Page weight<2MB2-5MB>5MB

Common Speed Issues in Ad Pages

  • Hero images not compressed (use WebP/AVIF)
  • Too many third-party scripts (chat widgets, analytics, heatmaps)
  • Render-blocking CSS/JS above fold
  • No lazy loading for below-fold content
  • Font files not preloaded

Mobile Experience

75%+ of ad clicks come from mobile. Mobile experience is critical.

Mobile Checklist

  • Tap targets: ≥48x48px with ≥8px spacing
  • Font size: ≥16px body text (no pinch-to-zoom needed)
  • Form fields: properly sized, keyboard type matches input (email, phone, number)
  • CTA button: full-width on mobile, visible without scrolling
  • No horizontal scroll
  • Images responsive and properly sized
  • Phone number clickable (tel: link)
  • No interstitials or popups blocking content on load

Trust Signals

Above-the-Fold Trust Elements

  • Company logo visible
  • Social proof (customer count, reviews, ratings)
  • Security badges (SSL, payment security, guarantees)
  • Recognizable client logos (B2B)
  • Star ratings or testimonial snippet

Below-the-Fold Trust Elements

  • Full testimonials with names, photos, companies
  • Case study highlights with specific metrics
  • Certifications, awards, accreditations
  • Privacy policy link
  • Physical address/phone number (local service businesses)

Form Optimization

Form Length Impact on CVR

FieldsExpected CVR ImpactUse Case
1-3 fieldsHighest CVRTop-of-funnel, free offer
4-5 fieldsModerate CVRMid-funnel, qualified leads
6-8 fieldsLower CVRBottom-funnel, sales-ready
9+ fieldsLowest CVROnly for high-value offers

Form Best Practices

  • Pre-fill fields where possible (UTM data, known info)
  • Use multi-step forms for 5+ fields (progressive disclosure)
  • Show progress indicator on multi-step forms
  • Inline validation (don't wait until submit to show errors)
  • Error messages are clear and helpful
  • Submit button text is specific ("Get My Free Quote" not "Submit")
  • Thank you page has clear next steps

Ad-Specific Landing Page Elements

UTM Parameter Handling

  • UTM parameters captured and stored (for attribution)
  • Click IDs preserved: gclid (Google), fbclid (Meta), ttclid (TikTok), msclkid (Microsoft)
  • Parameters passed to form submissions or CRM

Dynamic Content

  • Dynamic keyword insertion in headline (Google Ads feature)
  • Location-specific content for geo-targeted campaigns
  • Audience-specific messaging (different pages for different segments)
  • A/B testing active on key elements (headline, CTA, hero image)

Conversion Tracking

  • Thank you page/event fires correctly for all platforms
  • Form submission triggers conversion event
  • Phone call tracking configured (if applicable)
  • Chat/live agent triggers tracked as micro-conversions

Landing Page Quality by Platform

PlatformKey RequirementNotes
GoogleQS component: landing page experienceDirectly affects ad rank and CPC
MetaPage load speed criticalSlow pages = Meta penalizes delivery
LinkedInProfessional, B2B appropriateMatch LinkedIn's professional context
TikTokMobile-first mandatory95%+ TikTok traffic is mobile
MicrosoftDesktop-optimized matters moreHigher desktop % than other platforms

Output

Landing Page Assessment

Landing Page Health

Message Match:    ████████░░  XX/100
Page Speed:       ██████████  XX/100
Mobile:           ███████░░░  XX/100
Trust Signals:    █████░░░░░  XX/100
Form Quality:     ████████░░  XX/100

Deliverables

  • LANDING-PAGE-REPORT.md — Per-page assessment with scores
  • Message match analysis per ad-to-page combination
  • Page speed improvement priorities
  • Mobile experience fixes
  • Form optimization recommendations
  • Quick Wins sorted by conversion impact

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

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

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

Codex

35.3%
按下载量换算23

Claude

32.16%
按下载量换算21

Cursor

17.44%
按下载量换算11

Gemini CLI

9.3%
按下载量换算6

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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