Ads Apple
技能 活跃Apple Ads (formerly Apple Search Ads) deep analysis for mobile app advertisers. Evaluates campaign structure, bid health, Custom Product Pages (CPPs), MMP attribution, budget pacing, TAP coverage (Today/Search/Product Pages), Maximize Conversions bidding, and goal CPA benchmarks by country. Use when user says Apple Ads, Apple Search Ads, ASA, App Store ads, Apple ads, Search Ads, or is advertising a mobile app on iOS.
To provide mobile app advertisers with a deep, data-driven analysis of their Apple Ads campaigns, identifying areas for optimization and improvement.
功能
- Evaluates Apple Ads campaign structure
- Analyzes bid health and performance metrics
- Assesses Custom Product Pages (CPPs) and their impact
- Reviews MMP attribution and AdAttributionKit integration
- Assesses budget pacing and TAP coverage
- Compares performance against industry benchmarks by country and category
使用场景
- Use when a user requests an audit of their Apple Ads campaigns.
- Use when a user needs to understand why their Apple Ads performance is declining.
- Use when a user wants to optimize their Apple Ads strategy for better ROI.
- Use when a user needs to benchmark their Apple Ads performance against industry standards.
非目标
- Creating or managing Apple Ads campaigns directly.
- Providing real-time bidding adjustments.
- Analyzing ad performance on platforms other than Apple Ads.
- Providing generic marketing advice not specific to Apple Ads analysis.
工作流
- Collect Apple Ads account data
- Identify active placement types
- Evaluate predefined checks for PASS, WARNING, or FAIL
- Calculate ASA Health Score (0-100)
- Generate findings report with action plan
实践
- Performance Analysis
- Campaign Optimization
- Data-driven Decision Making
先决条件
- Apple Ads account data (exports or pasted metrics)
Practical Utility
- warning:Usage examplesThe SKILL.md file outlines the process and data requested but lacks concrete, end-to-end usage examples showing input, invocation, and observable outcome.
- info:Edge casesThe SKILL.md mentions specific platform changes and deprecated features, but a dedicated section detailing failure modes and recovery steps for user-provided data is absent.
Execution
- info:ValidationWhile the skill specifies what data to request, explicit schema validation or sanitization for user-provided inputs is not detailed.
Code Execution
- info:Error HandlingThe SKILL.md outlines the process but does not detail specific error handling mechanisms for invalid user input or analysis failures.
- info:Halt on unexpected stateThe skill outlines analysis criteria but does not explicitly state how it halts or reports on unexpected pre-state conditions of user-provided data.
Documentation
- warning:Phantom featuresWhile the README lists many platforms, the SKILL.md for this specific extension only details Apple Ads, suggesting potential phantom features advertised at the repository level for other platforms not implemented here.
Errors
- info:Actionable error messagesThe SKILL.md describes the analysis process but does not explicitly detail error handling for user input or analytical failures, which could hinder actionable error reporting.
Portability
- info:Cross-skill couplingThe README mentions other platform audits, but the SKILL.md for Apple Ads is self-contained and does not explicitly link to or rely on other skills.
安装
请先添加 Marketplace
/plugin marketplace add AgriciDaniel/claude-ads/plugin install claude-ads@agricidaniel-claude-ads质量评分
类似扩展
Claude Ads
96Multi-platform paid advertising audit and optimization skill. Analyzes Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, and Apple Ads. 250+ checks with scoring, parallel agents, industry templates, and AI creative generation.
Scheduler and Booking Design
99Designing meeting schedulers and booking experiences that qualify leads, set up calls well, and convert at higher rates than a generic Calendly link. Availability logic, qualification gating, prep automation, follow-up sequencing. Honest about any-time-friction (no qualification, just a booking link), interrogation-gate (so much qualification it scares users off), and qualified-fast-path (just enough qualification to set up the call well) patterns. Triggers on scheduler design, meeting booking, demo scheduling, sales call scheduling, calendar tool, booking page, qualification flow. Also triggers when sales team complains about cold demos, when booking conversion is poor, or when scheduler is being scoped for the first time.
Worker Benchmarks
99Run comprehensive worker system benchmarks and performance analysis
Analyze Kernel Bottleneck
99Systematically identify whether a GPU kernel is compute-bound, memory-bound, or latency-bound using roofline analysis, occupancy calculations, compute/load ratio per tile, and SASS instruction inspection. Produces a decision matrix for optimization strategy selection (cp.async, warp interleaving, tiling, double-buffering, or CuAssembler hand-tuning).
Google Ads Landing Page Audit
99Score and diagnose Google Ads landing pages. Use when asked to audit a landing page, check landing page quality, diagnose high-CTR but low-conversion-rate ad groups, improve Quality Score's Landing Page Experience component, or compare an ad group's messaging against its landing page. Trigger on "landing page audit", "landing page score", "landing page quality", "why is my conversion rate low", "LPX", "landing page experience", "ad to page match", or when `/google-ads-audit` surfaces a high-CTR / low-CVR ad group.
Chrome Devtools Cli
99使用此技能编写 shell 脚本或运行 shell 命令来自动化浏览器中的任务或以其他方式通过 CLI 使用 Chrome DevTools。