Ads Audit
Run a parallel multi-platform paid media health audit and aggregate 0–100 scores when you need a full picture of ad account waste and fixes.
Overview
Ads Audit is an agent skill most often used in Grow (also Launch distribution work) that runs six parallel platform audits and returns 0–100 health scores for paid ad accounts.
Install
npx skills add https://github.com/agricidaniel/claude-ads --skill ads-auditWhat is this skill?
- Six parallel audit agents for Google, Meta, LinkedIn, TikTok, Microsoft, and Apple Ads
- Per-platform and aggregate health scores on a 0–100 scale
- 10-Principle Thinking Framework governing observe, analyze, and synthesize steps
- Orchestrated collection of exports, screenshots, or API access before delegation
- Standalone sub-skills noted for Amazon, attribution, and server-side tracking extensions
- 6 parallel platform audit agents
- Aggregate and per-platform health scores from 0–100
- 10-Principle Thinking Framework referenced for audit quality
Adoption & trust: 820 installs on skills.sh; 5.8k GitHub stars; 3/3 security scanners passed (skills.sh audits).
What problem does it solve?
You spend across Google, Meta, and other platforms but lack a single prioritized audit of waste, structure, and account health.
Who is it for?
Operators with live multi-channel ad accounts who can share exports or API access and want one orchestrated audit pass.
Skip if: Brand-new founders with zero ad history or anyone who only needs a single-platform tweak without account data.
When should I use this skill?
User says audit, full ad check, analyze my ads, account health check, paid media audit, ad spend audit, advertising audit, or PPC audit.
What do I get? / Deliverables
You receive platform-level and aggregate health scores with framework-driven findings you can hand to specialists or follow-up sub-skills.
- Per-platform health scores
- Aggregate 0–100 health score
- Prioritized audit findings and remediation themes
Recommended Skills
Journey fit
Spans multiple journey phases - primary shelf plus alternate fits below.
Grow is the canonical shelf because the skill optimizes ongoing paid spend and account health after channels are live. Analytics subphase fits health scores, cross-platform performance review, and prioritized remediation from audit data.
Where it fits
Quarterly review of all active ad platforms with an aggregate health score.
Post-launch check that new campaigns are structurally sound before increasing budget.
Identify retargeting and creative gaps after reading parallel platform audit outputs.
How it compares
Multi-agent audit orchestration in Claude Code—not a self-serve dashboard SaaS with guaranteed benchmarks.
Common Questions / FAQ
Who is ads-audit for?
Solo builders and lean teams managing Google, Meta, LinkedIn, TikTok, Microsoft, or Apple Ads who need a structured health review.
When should I use ads-audit?
In Grow when optimizing spend and diagnostics; at Launch when validating channel setup before scaling distribution.
Is ads-audit safe to install?
Audits may require ad account access and exports—review Security Audits on this Prism page and never paste production API secrets into chat without policy review.
SKILL.md
READMESKILL.md - Ads Audit
# 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 > 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 - Bus