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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

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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/agricidaniel/claude-ads
仓库路径:skills/ads-landing
安装命令:
npx skills add https://github.com/agricidaniel/claude-ads --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/agricidaniel/claude-ads --skill ads-landing

简介

ads-landing 评估落地页与广告创意的匹配度,识别影响转化的关键不一致问题。

  • 适用于广告投放后对落地页质量进行快速诊断,提升广告到转化的连贯性。
  • 检查标题、优惠、CTA、视觉与关键词五类匹配项,输出优先级改进建议。
  • 依赖像素与标签验证工具,需确保能访问目标页面并读取元数据。
  • 建议结合广告素材与落地页 URL 使用,避免因页面加载失败导致评估中断。

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
INP<200ms200-500ms>500ms
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

Landing Page Health Score Algorithm

Landing Page Health Score = (Message Match x 0.25) + (Page Speed x 0.25) + (Mobile x 0.20) + (Trust x 0.15) + (Form x 0.15)

Each component is scored 0-100, then weighted. Final score maps to grade: A (90-100), B (75-89), C (60-74), D (40-59), F (<40).

Consent Banner Impact

Flag if any of the following are true:

  • Consent banner covers the primary CTA on load
  • Consent banner delays form interaction by >1 second
  • Consent banner pushes critical content (headline, offer, CTA) below the fold
  • Banner cannot be dismissed on mobile without scrolling
Consent Mode V2: Verify Consent Mode V2 implementation for EU/EEA traffic to ensure tracking data quality. Without Consent Mode V2, conversion modeling is degraded and remarketing audiences shrink significantly.

Quick Wins

PriorityFixExpected Impact
1Move primary CTA above the fold on all devices+15-25% CVR
2Reduce form fields to essential only (name, email, one qualifier)+10-20% CVR
3Add trust badges near CTA (security, guarantee, reviews)+5-15% CVR
4Optimize hero image (WebP/AVIF, <200KB, proper dimensions)-1-2s load time
5Fix mobile tap targets (>=48x48px with >=8px spacing)+5-10% mobile CVR

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

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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

39.12%
按下载量换算1,215

Claude

28.09%
按下载量换算872

Cursor

18.57%
按下载量换算577

Gemini CLI

10.16%
按下载量换算315

安全审计

Gen Agent Trust Hub

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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

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来源信息

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