JavaScript is disabled. Some features may not work.
ads-audit — ★ 6.4K GitHub Stars — Install Guide | SkillsNav
🇺🇸 English🇨🇳 中文
SkillsNav
Home

ads-audit

★ 6.4K repovulnerabilityN/AIntermediateClaude
🤖 AI Summary

**ads-audit** performs a multi-platform advertising audit by collecting account data (exports, screenshots, or API access), validating availability, detecting business type and active platforms, then delegating to platform-specific subagents (e.g., `audit-google`) for conversion tracking analysis—all guided by a 10-principle thinking framework to avoid mechanical execution.

How to Install

Claude Code:
git clone --depth 1 https://github.com/AgriciDaniel/claude-ads.git && cp claude-ads/skills/ads-audit ~/.claude/skills/ads-audit -r
# Full Multi-Platform Ads Audit This audit operates under the **10-Principle Thinking Framework** (see `ads/references/thinking-framework.md`). OBSERVE (External + Internal) dominates data collection, THINK + CONNECT (Lateral) dominate analysis, CONNECT (System) + ACCEPT dominate synthesis and prioritization. If the audit feels mechanical, you are skipping a principle. ## Process 1. **Collect account data**: request exports, screenshots, or API access 2. **Validate**: confirm at least one platform's data is available before proceeding 3. **Detect business type**: analyze account signals per ads orchestrator 4. **Identify active platforms**: determine which platforms are in use 5. **Delegate to subagents** (if available, otherwise run inline sequentially): - `audit-google`: Conversion tracking, wasted spend, structure, keywords, ads, settings (80 checks; G01-G61 + 19 hyphenated v1.5+ IDs incl. AI Max) - `audit-meta`: Pixel/CAPI health, creative fatigue, structure, audience (50 checks; M01-M40 + 10 hyphenated v1.5+ IDs incl. Andromeda) - `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 6. **Validate**: verify each subagent returned valid scores with required fields before aggregating 7. **Score**: calculate per-platform and aggregate Ads Health Score (0-100) 8. **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 > Hig

Details

Category Security → vulnerability
SourceAgriciDaniel/claude-ads
SKILL.mdView on GitHub →
Repo Stars★ 6.4K
Est. per SkillN/A (shared across 22 skills from this repo)
DifficultyIntermediate
Risk LevelN/A

Related Skills

Works Well With

Skills from the same repository — often designed to work together