Ads Google
技能 活跃Google Ads deep analysis covering Search, Performance Max, Display, YouTube, and Demand Gen campaigns. Evaluates 80 checks across conversion tracking, wasted spend, account structure, keywords, ads, and settings. Use when user says Google Ads, Google PPC, search ads, PMax, Performance Max, or Google campaign.
To provide users with a detailed, data-driven audit of their Google Ads campaigns, identifying areas for optimization and improvement to maximize performance and ROI.
功能
- Conducts 80-check audits across Google Ads Search, PMax, Display, YouTube, and Demand Gen.
- Evaluates key areas: conversion tracking, wasted spend, account structure, keywords, ads, and settings.
- Calculates a weighted Google Ads Health Score (0-100) with a grade.
- Generates a findings report with an action plan and estimated monthly wasted spend.
- Provides industry-specific benchmarks and scoring systems.
使用场景
- Use when a user needs a comprehensive audit of their Google Ads performance.
- Use when a user asks for ways to reduce wasted ad spend on Google Ads.
- Use when a user requires an evaluation of their Google Ads account structure and keyword strategy.
- Use when a user wants to understand their Google Ads health score and receive prioritized recommendations.
非目标
- Creating or modifying Google Ads campaigns directly.
- Connecting directly to Google Ads API without user-provided data or MCP setup.
- Providing real-time campaign bidding adjustments.
- Analyzing ad creatives or landing pages (though it may flag issues related to them).
实践
- Performance analysis
- Audit automation
- Data-driven recommendations
- Best practice adherence
先决条件
- Claude Code CLI
- Python 3.10+ (for optional Playwright/reportlab)
- User-provided Google Ads data exports (e.g., Search Terms Report, campaign data)
Maintenance
- warning:Dependency ManagementThe project has external dependencies like Playwright and reportlab mentioned but lacks a lockfile or explicit version pinning for these in the SKILL.md or manifests, posing a risk of unexpected behavior due to dependency drift.
Trust
- warning:Issues AttentionIn the last 90 days, 7 issues were opened and 4 were closed, indicating a closure rate of approximately 36%, which suggests slower-than-ideal maintainer responsiveness.
Execution
- warning:Pinned dependenciesWhile Python 3.10+ is specified, the optional dependencies (Playwright, reportlab) are not explicitly pinned with a lockfile, which could lead to version conflicts or breakages.
Practical Utility
- info:Usage examplesWhile the SKILL.md outlines the process and expected output format, concrete, end-to-end copy-paste examples demonstrating input data and observable outcomes are not explicitly provided within the skill's documentation.
安装
请先添加 Marketplace
/plugin marketplace add AgriciDaniel/claude-ads/plugin install claude-ads@agricidaniel-claude-ads质量评分
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