ads-audit

分类: 测试与安全 | 上传者: naveedharri | 下载: 0 | 版本: v1.0（最新）

具有并行子代理授权的完整多平台付费广告审核。分析 Google Ads、Meta Ads、LinkedIn Ads、TikTok Ads 和 Microsoft Ads 帐户。生成每个平台的健康分数和总分数。当用户说“审核”、“完整广告检查”、“分析我的广告”、“帐户运行状况检查”或“PPC 审核”时使用。 --- # 全面的多平台广告审核 ## 流程 1. **收集账户数据** — 请求导出、屏幕截图或 API 访问 2. **检测业务类型** — 分析每个广告编排器的账户信号 3. **识别活跃平台** — 确定正在使用哪些平台 4. **委托给子代理**（如果可用，否则按顺序内联运行）： - `audit-google` — 转化跟踪、浪费支出、结构、关键字、广告、设置 (G01-G74) - `audit-meta` — Pixel/CAPI 健康状况、创意疲劳、结构、受众 (M01-M46) - `audit-creative` — LinkedIn、TikTok、Microsoft 创意检查 + 跨平台综合 - `audit-tracking` — LinkedIn、 TikTok、Microsoft 跟踪 + 跨平台跟踪运行状况 - `审核预算` — LinkedIn、TikTok、Microsoft 预算/出价 + 跨平台分配 - `审核合规性` — 全平台合规性、设置、性能基准 5. **分数** — 计算每个平台和聚合广告运行状况得分 (0-100) 6. **报告** — 通过快速获胜生成优先行动计划 ## 数据收集向用户询问可用数据。接受任意组合： - Google Ads：帐户导出、更改历史记录、搜索词报告 - 元广告：广告管理器导出、事件管理器屏幕截图、EMQ 分数 - LinkedIn 广告：Campaign Manager 导出、Insight 标签状态 - TikTok 广告：广告管理器导出、Pixel/Events API 状态 - Microsoft 广告：帐户导出、UET 标签状态、导入验证结果如果没有可用的导出，请从屏幕截图或手动数据输入进行审核。 ## 评分阅读 `ads/references/scoring-system.md` 了解完整算法。 ### 每个平台的权重 |平台|类别权重 | |----------|-----------------| |谷歌 |康维

更新日志: Source: GitHub https://github.com/naveedharri/benai-skills

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📄 SKILL.md 4.2 KB

SKILL.md

---
name: ads-audit
description: >
  Full multi-platform paid advertising audit with parallel subagent delegation.
  Analyzes Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads, and Microsoft Ads
  accounts. Generates health score per platform and aggregate score. Use when
  user says "audit", "full ad check", "analyze my ads", "account health check",
  or "PPC audit".
---

# Full Multi-Platform Ads Audit

## Process

1. **Collect account data** — request exports, screenshots, or API access
2. **Detect business type** — analyze account signals per ads orchestrator
3. **Identify active platforms** — determine which platforms are in use
4. **Delegate to subagents** (if available, otherwise run inline sequentially):
   - `audit-google` — Conversion tracking, wasted spend, structure, keywords, ads, settings (G01-G74)
   - `audit-meta` — Pixel/CAPI health, creative fatigue, structure, audience (M01-M46)
   - `audit-creative` — LinkedIn, TikTok, Microsoft creative checks + cross-platform synthesis
   - `audit-tracking` — LinkedIn, TikTok, Microsoft tracking + cross-platform tracking health
   - `audit-budget` — LinkedIn, TikTok, Microsoft budget/bidding + cross-platform allocation
   - `audit-compliance` — All-platform compliance, settings, performance benchmarks
5. **Score** — calculate per-platform and aggregate Ads Health Score (0-100)
6. **Report** — generate prioritized action plan with Quick Wins

## Data Collection

Ask the user for available data. Accept any combination:
- Google Ads: account export, Change History, Search Terms Report
- Meta Ads: Ads Manager export, Events Manager screenshot, EMQ scores
- LinkedIn Ads: Campaign Manager export, Insight Tag status
- TikTok Ads: Ads Manager export, Pixel/Events API status
- Microsoft Ads: account export, UET tag status, import validation results

If no exports available, audit from screenshots or manual data entry.

## Scoring

Read `ads/references/scoring-system.md` for full algorithm.

### Per-Platform Weights

| Platform | Category Weights |
|----------|-----------------|
| Google | Conversion 25%, Waste 20%, Structure 15%, Keywords 15%, Ads 15%, Settings 10% |
| Meta | Pixel/CAPI 30%, Creative 30%, Structure 20%, Audience 20% |
| LinkedIn | Tech 25%, Audience 25%, Creative 20%, Lead Gen 15%, Budget 15% |
| TikTok | Creative 30%, Tech 25%, Bidding 20%, Structure 15%, Performance 10% |
| Microsoft | Tech 25%, Syndication 20%, Structure 20%, Creative 20%, Settings 15% |

### Aggregate Score

```
Aggregate = Sum(Platform_Score x Platform_Budget_Share)
Grade: A (90-100), B (75-89), C (60-74), D (40-59), F (<40)
```

## Output Files

- `ADS-AUDIT-REPORT.md` — Comprehensive multi-platform findings
- `ADS-ACTION-PLAN.md` — Prioritized recommendations (Critical > High > Medium > Low)
- `ADS-QUICK-WINS.md` — Items fixable in <15 minutes with high impact

## Report Structure

### Executive Summary
- Aggregate Ads Health Score (0-100) with grade
- Per-platform scores
- Business type detected
- Active platforms identified
- Top 5 critical issues across all platforms
- Top 5 quick wins across all platforms

### Per-Platform Sections
Each platform section includes:
- Platform Health Score with grade
- Category breakdown with pass/warning/fail per check
- Platform-specific Quick Wins
- Detailed findings with remediation steps

### Cross-Platform Analysis
- Budget allocation assessment (actual vs recommended)
- Tracking consistency (are all platforms tracking the same events?)
- Creative consistency (is messaging aligned across platforms?)
- Attribution overlap (are platforms double-counting conversions?)

### Strategic Recommendations
- Platform prioritization based on business type
- Budget reallocation recommendations
- Scaling opportunities (platforms/campaigns ready to scale)
- Kill list (campaigns/ad groups to pause immediately)

## Priority Definitions

- **Critical**: Revenue/data loss risk (fix immediately)
- **High**: Significant performance drag (fix within 7 days)
- **Medium**: Optimization opportunity (fix within 30 days)
- **Low**: Best practice, minor impact (backlog)

## Quick Wins Criteria

```
IF severity == "Critical" OR severity == "High"
AND estimated_fix_time < 15 minutes
THEN flag as Quick Win
SORT BY (severity_multiplier x estimated_impact) DESC
```

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