Google Ads 심층 분석: 검색, Performance Max, AI Max, 디스플레이, YouTube, Demand Gen 캠페인을 다룹니다. 전환 추적, 낭비 지출, 계정 구조, 키워드, 광고, 설정 등 80가지 항목을 평가합니다.
이 스킬은 Google Ads 계정의 전반적인 상태를 진단하고 최적화 기회를 찾아내는 데 특화되어 있습니다. 검색, Performance Max, AI Max, 디스플레이, YouTube, Demand Gen 등 모든 유형의 캠페인을 분석하며, 총 80개 이상의 체크리스트를 통해 전환 추적, 낭비 지출, 계정 구조, 키워드, 광고 소재, 캠페인 설정 등을 꼼꼼히 평가합니다. 특히 AI Max 캠페인의 검색어 매칭, AI Brief, 텍스트 커스터마이징, FUE, 브랜드 제외 기능과 Smart Bidding 신호 분석을 포함하여 고급 분석을 제공합니다. 사용자가 "Google Ads", "Google PPC", "검색 광고", "PMax", "Performance Max", "AI Max", "AI Brief", "확장 일치 감사", "품질평가점수 확인", "검색어 감사", "스마트 입찰", "Google 캠페인" 등과 같은 키워드를 언급할 때 이 스킬을 활성화하여 심층 분석을 수행할 수 있습니다.
npx skills add https://github.com/agricidaniel/claude-ads/tree/main/skills/ads-googleInstalled? Explore more 연구 & 데이터 분석 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Google Ads 심층 분석: 검색, Performance Max, AI Max, 디스플레이, YouTube, Demand Gen 캠페인을 다룹니다. 전환 추적, 낭비 지출, 계정 구조, 키워드, 광고, 설정 등 80가지 항목을 평가합니다. AI Max (검색어 매칭, AI Brief, 텍스트 커스터마이징, FUE, 브랜드 제외) 및 Smart Bidding 신호를 포함합니다. 사용자가 "Google Ads", "Google PPC", "검색 광고", "PMax", "Performance Max", "AI Max", "AI Brief", "확장 일치 감사", "품질평가점수 확인", "검색어 감사", "스마트 입찰", "Google 캠페인" 등을 언급할 때 사용하세요.
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.