TikTok 광고 심층 분석: 크리에이티브 품질, 트래킹, 입찰, 캠페인 구조, TikTok USDS 합작 투자(2026년 1월 이후 분사) 하의 TikTok Shop을 다룹니다.
이 스킬은 TikTok 광고 생태계 전반을 심층 분석하여 크리에이티브 우선 전략, 안전 영역 준수, 검색을 위한 크리에이티브 다양성, Smart+ 캠페인 등 28가지 체크리스트를 평가합니다. TikTok USDS 합작 투자(2026년 1월 분사 이후) 환경에서의 광고 품질, 트래킹 정확성, 입찰 전략, 캠페인 구조, 그리고 TikTok Shop까지 포괄적으로 분석합니다. 사용자가 TikTok Ads, TikTok 마케팅, TikTok Shop, Spark Ads, Smart+, USDS, 검색을 위한 크리에이티브 다양성, TikTok 캠페인 등에 대해 질문할 때 활용됩니다. 개발자와 마케터가 TikTok 광고 성과를 극대화하고, 규정을 준수하며, 효과적인 캠페인을 설계하는 데 도움을 줍니다.
npx skills add https://github.com/agricidaniel/claude-ads/tree/main/skills/ads-tiktokInstalled? Explore more 연구 & 데이터 분석 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
TikTok 광고 심층 분석: 크리에이티브 품질, 트래킹, 입찰, 캠페인 구조, TikTok USDS 합작 투자(2026년 1월 이후 분사) 하의 TikTok Shop을 다룹니다. 크리에이티브 우선 전략, 안전 영역 준수, 검색을 위한 크리에이티브 다양성, Smart+ 캠페인에 중점을 두고 28가지 체크리스트를 평가합니다. 사용자가 TikTok Ads, TikTok 마케팅, TikTok Shop, Spark Ads, Smart+, USDS, 검색을 위한 크리에이티브 다양성, TikTok 캠페인에 대해 말할 때 사용합니다.
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.
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.
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.