Andromeda + GEM + Lattice 시대의 Facebook, Instagram, Threads 광고를 포함한 종합적인 Meta Ads 분석 도구입니다.
이 스킬은 Meta Ads 캠페인을 심층 분석하여 광고 성과를 최적화하도록 설계되었습니다. Pixel/CAPI 상태, 크리에이티브 다양성, Entity-ID 클러스터링 위험, 계정 구조, ASC/AAC 기본 설정, 잠재고객 타겟팅 등 50가지 항목을 평가합니다. 특히 Advantage+ 평가와 크리에이티브 자체를 타겟팅으로 점수화하는 기능을 포함합니다. 사용자가 'Meta Ads', 'Facebook Ads', 'Instagram Ads', 'Threads ads', 'Advantage+', 'ASC', 'AAC', 'Andromeda', 'GEM', 'Lattice', 'Entity-ID 클러스터링', '크리에이티브 다양성', 'Sales 최적화', 'Leads 최적화', 'App 최적화' 또는 'Meta 캠페인'을 언급할 때 사용하세요. 이 스킬은 Claude Code, Cursor 및 Codex와 같은 AI 에이전트와 원활하게 통합되며, 개발자와 마케터에게 실행 가능한 인사이트를 제공하여 캠페인 효율성과 ROI를 개선하는 데 도움을 줍니다.
npx skills add https://github.com/agricidaniel/claude-ads/tree/main/skills/ads-metaInstalled? Explore more 연구 & 데이터 분석 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Andromeda + GEM + Lattice 시대의 Facebook, Instagram, Threads 광고를 포함한 Meta Ads 종합 분석 도구입니다. Pixel/CAPI 상태, 크리에이티브 다양성 및 Entity-ID 클러스터링 위험, 계정 구조, Sales/Leads/App별 ASC/AAC 기본 설정, 잠재고객 타겟팅 등 50가지 항목을 평가합니다. Advantage+ 평가와 크리에이티브-자체-타겟팅 점수화 기능을 포함합니다. 사용자가 Meta Ads, Facebook Ads, Instagram Ads, Threads ads, Advantage+, ASC, AAC, Andromeda, GEM, Lattice, Entity-ID 클러스터링, 크리에이티브 다양성, Sales 최적화, Leads 최적화, App 최적화 또는 Meta 캠페인을 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.
Google Ads deep analysis covering Search, Performance Max, AI Max, Display, YouTube, and Demand Gen campaigns. Evaluates 80 checks across conversion tracking, wasted spend, account structure, keywords, ads, and settings. Includes AI Max (search-term-matching, AI Brief, text customization, FUE, brand exclusions) and Smart Bidding signals. Use when user says Google Ads, Google PPC, search ads, PMax, Performance Max, AI Max, AI Brief, broad match audit, Quality Score check, search terms audit, Smart Bidding, or Google 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.