Google Ads 深度分析，涵盖搜索、效果最大化、AI Max、展示、YouTube 和需求生成广告系列。评估 80 项检查，涉及转化跟踪、浪费支出、账户结构、关键字、广告和设置。包含 AI Max（搜索词匹配、AI Brief、文本定制、FUE、品牌排除）和智能出价信号。
此技能名为 agricidaniel/ads-google，专注于对 Google Ads 广告系列进行全面的深度分析。它针对搜索、效果最大化（Performance Max）、AI Max、展示、YouTube 和需求生成（Demand Gen）等多种广告系列类型，执行多达 80 项细致的合规与性能检查。这些检查覆盖了转化跟踪的正确性、账户结构合理性、无效浪费支出、关键字与广告文案质量，以及广告系列设置的优化潜力。该技能尤其强化了对 AI Max 功能和智能出价（Smart Bidding）信号的分析，包括搜索词匹配模式、AI 广告文案自动生成（AI Brief）、文本个性化定制、账户最终到达网址（FUE）配置以及品牌排除。当用户提及 Google Ads、PPC、搜索广告、PMax、AI Max、广泛匹配审计、质量得分、搜索词审计或智能出价等关键词时，该技能会自动激活，为开发者或营销人员提供结构化的优化建议，帮助提升广告投资回报率。它适用于 Claude Code、Cursor 等支持 AI agent 技能的开发环境。
npx skills add https://github.com/agricidaniel/claude-ads/tree/main/skills/ads-googleInstalled? Explore more 研究与数据分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Google Ads 深度分析，涵盖搜索、效果最大化（Performance Max）、AI Max、展示、YouTube 和需求生成（Demand Gen）广告系列。评估 80 项检查，涉及转化跟踪、浪费支出、账户结构、关键字、广告和设置。包含 AI Max（搜索词匹配、AI Brief、文本定制、FUE、品牌排除）和智能出价信号。当用户提及 Google Ads、Google PPC、搜索广告、PMax、Performance Max、AI Max、AI Brief、广泛匹配审计、质量得分检查、搜索词审计、智能出价或 Google 广告系列时使用。
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.