Google Ads 深度分析，涵蓋搜尋、效能 Max、AI Max、多媒體廣告、YouTube 和需求開發廣告活動。評估 80 項檢查，包含轉換追蹤、浪費支出、帳戶結構、關鍵字、廣告和設定。包含 AI Max（搜尋詞匹配、AI Brief、文字自訂、FUE、品牌排除）和智慧出價信號。當使用者提及 Google Ads、Google PPC、搜尋廣告、PMax、效能 Max、AI Max、AI Brief、廣泛比對稽核、品質分數檢查、搜尋詞稽核、智慧出價或 Google 廣告活動時使用。
此技能專為 Google Ads 深度分析而設計，提供全面的廣告活動稽核與最佳化建議。它涵蓋多種廣告活動類型，包括搜尋、效能 Max (PMax)、AI Max、多媒體廣告、YouTube 及需求開發，並執行多達 80 項檢查，橫跨轉換追蹤、浪費支出、帳戶結構、關鍵字、廣告設定等多個面向。該技能特別支援 AI Max 相關功能，如搜尋詞匹配、AI Brief 文字自訂、FUE (最終網址展開) 和品牌排除，同時也包含智慧出價信號的評估。其適用平台主要為 Claude Code 與其他相容的 AI 代理，透過分析使用者提供的 Google Ads 帳戶資料或指出需要稽核的面向，來識別最佳化機會，例如：調整不良的帳戶結構、找出轉換追蹤設定錯誤、或篩選出高浪費的搜尋詞。對於負責管理 Google Ads 廣告活動的開發者、行銷人員或代理商而言，此工具能有效節省手動稽核時間，並提供數據驅動的改善建議。
npx skills add https://github.com/agricidaniel/claude-ads/tree/main/skills/ads-googleInstalled? Explore more 研究與資料分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Google Ads 深度分析，涵蓋搜尋、效能 Max、AI Max、多媒體廣告、YouTube 和需求開發廣告活動。評估 80 項檢查，包含轉換追蹤、浪費支出、帳戶結構、關鍵字、廣告和設定。包含 AI Max（搜尋詞匹配、AI Brief、文字自訂、FUE、品牌排除）和智慧出價信號。當使用者提及 Google Ads、Google PPC、搜尋廣告、PMax、效能 Max、AI Max、AI Brief、廣泛比對稽核、品質分數檢查、搜尋詞稽核、智慧出價或 Google 廣告活動時使用。
This repo contains 3 individual skills — each has its own dedicated page.
Multi-platform paid advertising audit and optimization skill. Analyzes Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, and Amazon Ads. 250+ checks with scoring, parallel agents, industry templates, AI creative generation, attribution and server-side tracking deep dives.
Meta Ads deep analysis covering Facebook, Instagram, and Threads advertising in the Andromeda + GEM + Lattice era. Evaluates 50 checks across Pixel/CAPI health, creative diversity and Entity-ID clustering risk, account structure, ASC/AAC defaults for Sales/Leads/App, and audience targeting. Includes Advantage+ assessment and creative-as-targeting scoring. Use when user says Meta Ads, Facebook Ads, Instagram Ads, Threads ads, Advantage+, ASC, AAC, Andromeda, GEM, Lattice, Entity-ID clustering, creative diversity, Sales optimization, Leads optimization, App optimization, or Meta campaign.
TikTok Ads deep analysis covering creative quality, tracking, bidding, campaign structure, and TikTok Shop under the TikTok USDS Joint Venture (post Jan 2026 divestiture). Evaluates 28 checks with emphasis on creative-first strategy, safe zone compliance, creative diversity for retrieval, and Smart+ campaigns. Use when user says TikTok Ads, TikTok marketing, TikTok Shop, Spark Ads, Smart+, USDS, creative diversity for retrieval, or TikTok campaign.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.