SkillsAdd

hainrixz/claude-ads

ads-audit

Full multi-platform paid advertising audit with parallel subagent delegation.

First seen Apr 30, 2026

Installation

$ npx skills add hainrixz/claude-ads --skill ads-audit
View on skills.sh ↗ GitHub repository ↗

Summary

  • 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.

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Also in this package

Other skills from hainrixz/claude-ads · top by installs.

npx skills add hainrixz/claude-ads
ads 53 ads-meta 53 ads-creative 53 ads-budget 52 ads-math 52 ads-photoshoot 51 ads-plan 51 ads-create 50 ads-update 50 ads-test 50

Browse all from hainrixz/claude-ads

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 77
License LICENSE
Default branch main
Open issues 0
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 4,578 B
  • docs SUMMARY.md 329 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 52 installs

SKILL.md

Full Multi-Platform Ads Audit

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 (3 parallel deep specialists, one per platform):

- audit-google: Conversion tracking, wasted spend, structure, keywords, ads, settings, PMax, AI Max, Demand Gen, CTV, YouTube video campaigns (G01-G74, G-PM, G-AI, G-DG, G-CTV) - audit-meta: Pixel/CAPI health, creative fatigue, structure, audience, Andromeda, Advantage+ (M01-M40, M-AN, M-AT, M-CR, M-ST, M-IA, M-TH) — MCP-wired - audit-tiktok: Pixel + Events API + ttclid, creative diversity, Smart+, GMV Max, Symphony, learning phase (T01-T25, T-SR*)

  1. Validate: verify each subagent returned valid scores with required fields before aggregating
  2. Score: calculate per-platform and aggregate Ads Health Score (0-100)
  3. Report: generate prioritized action plan with Quick Wins

Data Collection

Ask the user for available data. Accept any combination:

  • Meta Ads: Capa 1 (claude.ai Facebook MCP, free), Capa 2 (scripts/api/meta_fetch.py → meta-data.json), Capa 3 (Ads Manager export + Events Manager screenshot + EMQ)
  • Google Ads: Capa 1 (cohnen/mcp-google-ads, free), Capa 2 (scripts/api/google_fetch.py → google-data.json), Capa 3 (account export + Change History + Search Terms Report)
  • TikTok Ads: Capa 1 (AdsMCP/tiktok-ads-mcp, free), Capa 2 (scripts/api/tiktok_fetch.py → tiktok-data.json), Capa 3 (Ads Manager export + Pixel/Events API status)

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