ads-tiktok 是做什麼的？
針對 TikTok 廣告進行深度分析，涵蓋創意品質、追蹤、出價、廣告活動結構以及 TikTok 商店（在 2026 年 1 月 TikTok USDS 合資企業剝離後）。評估 28 項檢查，重點關注創意優先策略、安全區域合規性、用於檢索的創意多樣性以及 Smart+ 廣告活動。當使用者提及 TikTok Ads、TikTok 行銷、TikTok 商店、Spark Ads、Smart+、USDS、用於檢索的創意多樣性或 TikTok 廣告活動時使用。
針對 TikTok 廣告進行深度分析，涵蓋創意品質、追蹤、出價、廣告活動結構以及 TikTok 商店（在 2026 年 1 月 TikTok USDS 合資企業剝離後）。評估 28 項檢查，重點關注創意優先策略、安全區域合規性、用於檢索的創意多樣性以及 Smart+ 廣告活動。
這項技能專為需要深入分析 TikTok 廣告的開發者或廣告從業者設計。它能全面評估 TikTok 廣告活動，包括創意品質、追蹤設定、出價策略、廣告活動結構以及 TikTok 商店的整合情況，尤其針對 2026 年 1 月後美國數據安全（USDS）合資企業架構下的情境。技能會執行 28 項檢查，特別強調創意優先策略、安全區域合規性、用於檢索的創意多樣性以及 Smart+ 廣告活動。支援的平台包括 Claude Code、Cursor 和 Codex 等 AI 代理工具。使用方式很簡單：當使用者提及 TikTok 廣告、TikTok 行銷、TikTok 商店、Spark Ads、Smart+、USDS、用於檢索的創意多樣性或 TikTok 廣告活動等關鍵詞時，此技能會自動觸發，提供結構化的分析報告，協助最佳化廣告表現。
npx skills add https://github.com/agricidaniel/claude-ads/tree/main/skills/ads-tiktokInstalled? 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 →
針對 TikTok 廣告進行深度分析，涵蓋創意品質、追蹤、出價、廣告活動結構以及 TikTok 商店（在 2026 年 1 月 TikTok USDS 合資企業剝離後）。評估 28 項檢查，重點關注創意優先策略、安全區域合規性、用於檢索的創意多樣性以及 Smart+ 廣告活動。當使用者提及 TikTok Ads、TikTok 行銷、TikTok 商店、Spark Ads、Smart+、USDS、用於檢索的創意多樣性或 TikTok 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.
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.