对 Meta 广告进行深度分析，涵盖 Facebook、Instagram 和 Threads 广告，评估像素/CAPI 健康、创意多样性和实体 ID 聚类风险等 50 项检查。
这是一个专门针对 Meta 广告生态系统进行深度分析的 AI 技能，由 agricidaniel 开发。它专注于评估在 Andromeda + GEM + Lattice 时代下，Facebook、Instagram 和 Threads 上的广告表现。该技能会执行 50 项检查，覆盖像素/CAPI 健康度、创意多样性及实体 ID 聚类风险、账户结构、ASC/AAC 默认设置（适用于销售、线索、应用优化目标），以及受众定位。它还包括 Advantage+ 评估和创意即定向评分。当用户提及 Meta Ads、Facebook Ads 或相关关键术语时，可使用此技能获取全面的广告健康检查报告。它支持大多数 AI 代理平台（如 Claude Code、Cursor、Codex），并遵循 SKILL.md 中定义的标准输入/输出格式。
npx skills add https://github.com/agricidaniel/claude-ads/tree/main/skills/ads-metaInstalled? 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 →
在 Andromeda + GEM + Lattice 时代，对涵盖 Facebook、Instagram 和 Threads 广告的 Meta 广告进行深度分析。评估 50 项检查，包括像素/CAPI 健康度、创意多样性及实体 ID 聚类风险、账户结构、ASC/AAC 默认设置（适用于销售/线索/应用优化目标），以及受众定位。包含 Advantage+ 评估和创意即定向评分。当用户提及 Meta Ads、Facebook Ads、Instagram Ads、Threads 广告、Advantage+、ASC、AAC、Andromeda、GEM、Lattice、实体 ID 聚类、创意多样性、销售优化、线索优化、应用优化或 Meta 广告活动时使用。
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.
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.