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Agent Skill · 研究检索

ads-landing(广告登陆)

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。

ads-landing 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 13,298。

总安装 9,502周安装 392GitHub Stars 3,673下载 3,105核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

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。

来源仓库内路径:skills/ads-landing

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/agricidaniel/claude-ads --skill ads-landing;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

ads-landing 怎么安装?

在终端执行 npx skills add https://github.com/agricidaniel/claude-ads --skill ads-landing。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

ads-landing 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

ads-landing 需要什么权限?

权限级别是只读。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。

ads-landing 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

ads-landing 用的人多吗?

公开数据是累计安装 9,502 次,近一周安装 392 次,下载 3,105 次,GitHub 3,673 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

ads-landing 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 来源仓库有 3,673 星,维护活跃度相对可查。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
ads-landing

广告登陆 · 本页

9,5023,673只读未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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

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

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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