Agent skill
meta-account-auditor
This skill should be used when the user asks to \"audit a Meta Ads account\", \"take over a new account\", \"run a health check\", or mentions \"account audit\", \"periodic review\", or \"Meta account health score\".
Filed under ABM and paid.
From Ad-Superpowers/ad-superpowers-plugin · 120 skills · 5 · pushed 2026-09-10
What it does when it runs
This skill should be used when the user asks to \"audit a Meta Ads account\", \"take over a new account\", \"run a health check\", or mentions \"account audit\", \"periodic review\", or \"Meta account health score\". Do NOT use for: campaign structure advice (use campaign-structure-advisor), performance troubleshooting (use performance-troubleshooter), benchmark comparisons only (use benchmark-database).
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Install it
View source on GitHub ↗git clone --depth 1 --filter=blob:none --sparse https://github.com/Ad-Superpowers/ad-superpowers-plugin.git /tmp/ad-superpowers-plugin git -C /tmp/ad-superpowers-plugin sparse-checkout set "plugin/skills/meta-account-auditor" mkdir -p ~/.claude/skills/meta-account-auditor cp -R "/tmp/ad-superpowers-plugin/plugin/skills/meta-account-auditor/." ~/.claude/skills/meta-account-auditor/
Picked up without a restart. A project skill of the same name is shadowed by your personal one. For one repository only, swap ~/.claude/skills for .claude/skills. Claude Code docs ↗
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/plugin marketplace add Ad-Superpowers/ad-superpowers-plugin /plugin
The folder is the same in every client that implements the format — 46 of them — so if yours is not above, only the destination changes.
The skill
Source on GitHub ↗Reproduced in full from Ad-Superpowers/ad-superpowers-plugin/blob/9b6385d2d2d228e4dac096a1d6bc5715c04fa736/plugin/skills/meta-account-auditor/SKILL.md, which is licensed MIT (repository). 2,352 words, 23 headings.
Account Auditor
Overview
This skill provides a systematic framework for performing complete Meta Ads account audits, including health scoring, issue identification, and prioritized recommendations for optimization.
Audit Framework
Audit Scope Overview
┌─────────────────────────────────────────────────────────────────┐
│ META ADS ACCOUNT AUDIT AREAS │
│ │
│ 1. TRACKING & DATA QUALITY │
│ └── Pixel, CAPI, Events, Attribution │
│ │
│ 2. ACCOUNT STRUCTURE │
│ └── Campaigns, Ad Sets, Ads, Naming │
│ │
│ 3. AUDIENCE STRATEGY │
│ └── Custom, Lookalike, Targeting, Exclusions │
│ │
│ 4. CREATIVE PERFORMANCE │
│ └── Formats, Fatigue, Testing, Diversity │
│ │
│ 5. BUDGET & BIDDING │
│ └── Allocation, Strategy, Efficiency │
│ │
│ 6. PERFORMANCE METRICS │
│ └── KPIs, Trends, Benchmarks │
│ │
│ 7. COMPLIANCE & SETTINGS │
│ └── Policies, Settings, Access │
└─────────────────────────────────────────────────────────────────┘
Complete Audit Checklist
Section 1: Tracking & Data Quality
TRACKING AUDIT
==============
□ PIXEL STATUS
├── Is the pixel installed and active?
├── Pixel ID correct on all relevant domains?
├── Test events in Events Manager
└── Score: [green OK / yellow Issues / red Critical]
□ CONVERSIONS API (CAPI)
├── Is CAPI implemented?
├── Event Match Quality score (goal: >6.0)
├── Deduplication correctly configured?
├── Which parameters are being sent?
└── Score: [green OK / yellow Issues / red Critical]
□ EVENT TRACKING
├── Which events are active?
├── Are events firing correctly? (test conversions)
├── Are custom events needed?
├── Value tracking for purchases?
└── Score: [green OK / yellow Issues / red Critical]
□ DOMAIN VERIFICATION
├── Is the domain verified?
├── Aggregated Event Measurement (AEM) configured?
├── Event prioritization correct?
└── Score: [green OK / yellow Issues / red Critical]
□ ATTRIBUTION WINDOW (Critical — Jan 2026 change)
├── Are reports using the correct default? (7d click + 1d view)
├── Note: 7d view and 28d view attribution REMOVED by Meta (Jan 2026)
├── Historical data using old windows cannot be compared to current data
├── Any reports or rules referencing 28d attribution must be updated
└── Score: [green OK / yellow Issues / red Critical]
TRACKING SCORE: ___/50 points
Section 2: Account Structure
STRUCTURE AUDIT
===============
□ CAMPAIGN ORGANIZATION
├── How many active campaigns? (Ideal: 3-8)
├── Clear funnel segmentation? (TOFU/MOFU/BOFU)
├── Logical campaign objectives?
├── No duplicate campaigns?
└── Score: [green OK / yellow Issues / red Critical]
□ AD SET STRUCTURE
├── Number of ad sets per campaign (Ideal: 2-5)
├── Sufficient budget per ad set for learning?
├── No overlapping audiences?
├── Logical audience segmentation?
└── Score: [green OK / yellow Issues / red Critical]
□ ADS ORGANIZATION
├── Number of ads per ad set (Ideal: 3-6, Andromeda engine recommends 15+ distinct creatives per account)
├── Creative diversity present?
├── No duplicate ads?
├── Advantage+ Creative (formerly DCO) correctly configured?
└── Score: [green OK / yellow Issues / red Critical]
□ NAMING CONVENTIONS
├── Consistent naming system?
├── Campaign includes: objective, funnel, date?
├── Ad set includes: audience type?
├── Ad includes: creative type, version?
└── Score: [green OK / yellow Issues / red Critical]
STRUCTURE SCORE: ___/40 points
Section 3: Audience Strategy
AUDIENCE AUDIT
==============
□ CUSTOM AUDIENCES
├── Which custom audiences exist?
├── Are they up-to-date (recent data)?
├── Minimum size reached? (>1000)
├── Source quality assessment
└── Score: [green OK / yellow Issues / red Critical]
□ LOOKALIKE AUDIENCES
├── Which LALs are active?
├── Source audience quality?
├── Percentage selection appropriate?
├── Are value-based LALs being used?
├── Note: Lookalikes deprioritized in 2026 — Advantage+ Audience is now Meta's recommended approach
└── Score: [green OK / yellow Issues / red Critical]
□ INTEREST/BEHAVIOR TARGETING
├── Relevance of selected interests?
├── Audience size not too broad/narrow?
├── Are Advantage+ Audiences active on prospecting campaigns? (Recommended over manual interests in 2026)
├── Testing of new interests?
└── Score: [green OK / yellow Issues / red Critical]
□ EXCLUSIONS
├── Are buyers excluded where needed?
├── Funnel-based exclusions active?
├── Audience overlap minimized?
├── No conflicting exclusions?
└── Score: [green OK / yellow Issues / red Critical]
AUDIENCE SCORE: ___/40 points
Section 4: Creative Performance
CREATIVE AUDIT
==============
□ FORMAT DIVERSITY
├── Mix of video, static, carousel?
├── Different aspect ratios (1:1, 4:5, 9:16)?
├── UGC vs produced content balance?
├── Stories/Reels-specific creative?
└── Score: [green OK / yellow Issues / red Critical]
□ CREATIVE HEALTH
├── Average age of active creatives?
├── CTR trend (rising/falling)?
├── Frequency per creative?
├── Creative fatigue signals?
└── Score: [green OK / yellow Issues / red Critical]
□ MESSAGING & COPY
├── Clear value proposition?
├── Strong hooks (first 3 sec)?
├── Variation in copy angles?
├── CTAs clear and consistent?
└── Score: [green OK / yellow Issues / red Critical]
□ TESTING CADENCE
├── Are new creatives being tested?
├── A/B testing active?
├── Clear test hypotheses?
├── Learnings documented?
└── Score: [green OK / yellow Issues / red Critical]
CREATIVE SCORE: ___/40 points
Section 5: Budget & Bidding
BUDGET AUDIT
============
□ BUDGET ALLOCATION
├── Budget distribution across funnel?
├── No ad sets under minimum budget?
├── Budget aligned with goals?
├── Pacing correct (daily vs lifetime)?
└── Score: [green OK / yellow Issues / red Critical]
□ BID STRATEGY
├── Which bid strategies in use?
├── Appropriate for campaign objectives?
├── Cost caps realistic?
├── ROAS targets achievable?
└── Score: [green OK / yellow Issues / red Critical]
□ BUDGET EFFICIENCY
├── Spend vs budget ratio?
├── Are budgets fully spending?
├── ROI per campaign/funnel stage?
├── Identification of budget waste?
└── Score: [green OK / yellow Issues / red Critical]
□ SCALING POTENTIAL
├── Winning ad sets with room to scale?
├── Headroom in audiences?
├── Budget increase history successful?
└── Score: [green OK / yellow Issues / red Critical]
BUDGET SCORE: ___/40 points
Section 6: Performance Review
PERFORMANCE AUDIT
=================
□ KEY METRICS (vs benchmarks)
├── CPA: $___ (benchmark: $___)
├── ROAS: ___ (benchmark: ___)
├── CTR: ___% (benchmark: ___%)
├── CPM: $___ (benchmark: $___)
└── Score: [green OK / yellow Issues / red Critical]
□ TREND ANALYSIS (Last 30 days)
├── CPA trend: [up / flat / down]
├── ROAS trend: [up / flat / down]
├── Volume trend: [up / flat / down]
├── Efficiency trend: [up / flat / down]
└── Score: [green OK / yellow Issues / red Critical]
□ FUNNEL METRICS
├── TOFU: Reach, CPM, Video Views
├── MOFU: CTR, CPC, Engagement
├── BOFU: CPA, ROAS, Conv Rate
└── Score: [green OK / yellow Issues / red Critical]
□ LEARNING PHASE STATUS
├── % ad sets in learning?
├── Average time in learning?
├── Learning phase success rate?
└── Score: [green OK / yellow Issues / red Critical]
PERFORMANCE SCORE: ___/40 points
Section 7: Unused Feature Detection
UNUSED FEATURES AUDIT
=====================
This section identifies money left on the table - features that are
available but not being used, representing optimization opportunities.
□ ADVANTAGE+ FEATURES (Underutilized?)
├── Advantage+ Sales Campaigns
│ └── E-commerce account with $5k+/month? Not using Advantage+ Sales?
│ → Potential: 10-20% ROAS improvement
├── Advantage+ Placements
│ └── Manual placements only? Missing reach opportunities
│ → Potential: 15-30% more reach at same cost
├── Advantage Detailed Targeting
│ └── Disabled? AI audience expansion not working
│ → Potential: 10-15% more conversions
├── Advantage+ Creative
│ └── Not using? Missing creative optimization
│ → Potential: 5-10% CTR improvement
└── Score: [green Using / yellow Partially / red Not Using]
□ CONVERSIONS API (CAPI) - Enabled but Low Volume?
├── CAPI enabled but <50% of events from server?
│ └── Missing: Better attribution, lower CPM
├── Only PageView sent? Missing Add-to-Cart, Purchase?
│ └── Missing: Conversion signal strength
├── Event Match Quality <6.0?
│ └── Missing: Full CAPI value (poor matching)
└── Score: [green OK / yellow Partial / red Not Optimized]
□ AUDIENCE ASSETS (Created but Not Used?)
├── Custom Audiences uploaded but not in active ad sets?
│ └── Wasted asset: Customer data not being leveraged
├── Lookalike Audiences created but inactive?
│ └── Wasted asset: Expansion opportunities unused
├── Value-based Lookalikes available but not used?
│ └── Missing: Higher-value customer targeting
├── Website remarketing lists exist but no retargeting campaigns?
│ └── Wasted: Warm audiences not being targeted
└── Score: [green Using All / yellow Partially / red Many Unused]
□ CATALOG & SHOPPING FEATURES (E-commerce)
├── Catalog connected but no Dynamic Ads?
│ └── Missing: Personalized product recommendations
├── Advantage+ Catalog Ads not enabled?
│ └── Missing: Automated creative optimization
├── Collection Ads not tested?
│ └── Missing: Mobile shopping experience
├── Collaborative Ads available (retailer) but not used?
│ └── Missing: Partner reach
└── Score: [green OK / yellow Partial / red Underutilized]
□ AUTOMATION & RULES (Not Configured?)
├── No automated rules for budget/bid management?
│ └── Missing: Proactive management, less manual work
├── No Advantage Campaign Budget enabled?
│ └── Missing: Automated budget allocation across ad sets
├── No cost caps or bid caps when needed?
│ └── Risk: Uncontrolled spending
├── No scheduled ad set rules (day/time)?
│ └── Missing: Performance optimization by schedule
└── Score: [green Using / yellow Basic / red None]
□ MEASUREMENT & ATTRIBUTION (Not Set Up?)
├── Conversion Lift studies available but not run?
│ └── Missing: True incrementality data
├── Brand Lift studies available but not used?
│ └── Missing: Brand impact measurement
├── A/B testing (Experiments) not used?
│ └── Missing: Statistical testing framework
├── Attribution comparison report not reviewed?
│ └── Missing: Understanding of attribution impact
└── Score: [green Using / yellow Basic / red None]
UNUSED FEATURES SCORE: ___/60 points
OPPORTUNITY COST ESTIMATE:
├── Each unused Advantage+ feature: ~$500-2,000/month missed
├── Low CAPI adoption: ~15-25% higher CPMs
├── Unused audiences: ~20-30% efficiency loss
├── No automation: ~2-5 hours/week manual work
└── TOTAL ESTIMATED OPPORTUNITY: $___/month
Health Score Calculator
Score Interpretation
ACCOUNT HEALTH SCORE
====================
SECTION │ MAX POINTS │ YOUR SCORE
─────────────────────┼────────────┼───────────
Tracking & Data │ 40 │ ___
Account Structure │ 40 │ ___
Audience Strategy │ 40 │ ___
Creative Performance │ 40 │ ___
Budget & Bidding │ 40 │ ___
Performance Metrics │ 40 │ ___
Unused Features │ 60 │ ___
─────────────────────┼────────────┼───────────
TOTAL │ 300 │ ___
SCORE INTERPRETATION:
├── 250-300: Excellent - Minor optimizations
├── 200-249: Good - Several improvements needed
├── 150-199: Fair - Significant work required
└── <150: Poor - Major restructuring needed
Issue Prioritization Matrix
Categorize found issues:
ISSUE PRIORITIZATION
====================
CRITICAL (Fix within 24 hours):
├── Tracking not working
├── No conversions being tracked
├── Budget completely stopped
├── Policy violations
└── Major data discrepancies
HIGH (Fix within 1 week):
├── Poor EMQ score (<5)
├── High audience overlap (>50%)
├── Creative fatigue (CTR <0.5%)
├── CPA >50% above target
└── Learning phase failures
MEDIUM (Fix within 2 weeks):
├── Naming conventions inconsistent
├── Ad set consolidation needed
├── Audience refresh needed
├── Budget reallocation needed
└── Missing exclusions
LOW (Fix within 1 month):
├── Nice-to-have optimizations
├── Testing opportunities
├── Documentation updates
└── Minor structural changes
Audit Report Template
When the user asks for an account audit:
ACCOUNT AUDIT REPORT
=====================
Audit Date: [DATE]
Account: [ACCOUNT NAME]
Auditor: Claude AI
EXECUTIVE SUMMARY
────────────────────
Account Health Score: [X]/300 ([STATUS])
Top 3 Strengths:
1. [Strength]
2. [Strength]
3. [Strength]
Top 3 Areas for Improvement:
1. [Area]
2. [Area]
3. [Area]
DETAILED FINDINGS
─────────────────────────────
1. TRACKING & DATA
Status: [green/yellow/red]
Issues: [List]
Recommendations: [List]
2. ACCOUNT STRUCTURE
Status: [green/yellow/red]
Issues: [List]
Recommendations: [List]
[...etc for all sections...]
ACTION PLAN (Prioritized)
────────────────────────────
WEEK 1 (Critical):
□ [Action 1]
□ [Action 2]
WEEK 2-3 (High):
□ [Action 3]
□ [Action 4]
MONTH 1 (Medium):
□ [Action 5]
□ [Action 6]
EXPECTED IMPACT
───────────────
After implementation we expect:
├── CPA: [X%] improvement
├── ROAS: [X%] improvement
└── Efficiency: [X%] improvement
Quick Audit Checklist
For a fast health check:
QUICK AUDIT (15 minutes)
========================
□ Pixel active? (Events Manager → Test Events)
□ Conversions last 7 days? (yes/no/how many)
□ Learning phase issues? (% in learning)
□ CPA vs target? (under/on/over)
□ Frequency <3? (yes/no)
□ CTR >1%? (yes/no)
□ Active creatives >3 per ad set? (yes/no)
□ Budget fully spending? (yes/no)
QUICK SCORE: ___/8
└── 7-8: Healthy account
└── 5-6: Attention needed
└── <5: In-depth audit needed
MCP Tool Integration
Running an Audit with Live Data
Use these MCP calls to pull actual account data before scoring each section:
1. Campaign structure overview:
→ meta_query(account_id="...", entity_type="campaigns", effective_status=["ACTIVE"], fields=["id","name","objective","status","daily_budget","lifetime_budget"])
2. Ad set performance + delivery:
→ meta_get_insights(account_id="...", level="adset", date_preset="last_7d", fields=["cost_per_action_type","spend","frequency","impressions"])
3. Ad-level creative health:
→ meta_get_creatives(account_id="...", scope="account", date_preset="last_7d")
4. Top/bottom performers (last 30 days):
→ meta_get_insights(account_id="...", level="campaign", date_preset="last_30d", fields=["spend","actions","cost_per_action_type","impressions"])
Feed results directly into the audit sections above to score each area objectively.
Example Interaction
User: "I just took over a new account. Can you help me with an audit?"
Claude response:
"I'll help you with a systematic account audit. Let me pull the live data first:
meta_get_insights(account_id="...", level="campaign", date_preset="last_7d", fields=["spend","cost_per_action_type","frequency","impressions"])
meta_get_insights(account_id="...", level="adset", date_preset="last_7d", fields=["cost_per_action_type","spend","frequency"])
While that runs, I also need a few things:
STEP 1: Gather Basic Info
Can you tell me the following:
- What is the industry/vertical?
- What is the monthly ad budget?
- What are the current KPI targets (CPA/ROAS)?
- How long has the account been running?
STEP 2: Key Things I'll Check From the Data
Tracking Check:
- Pixel active + EMQ score for Purchase event (target: 6.0+)
- Attribution window: confirm reports use 7d click + 1d view (28d view removed Jan 2026)
Structure Check:
- Number of active campaigns (ideal: 3-8)
- Ad sets per campaign (ideal: 2-5)
- Creative count and diversity
Performance Check (Last 7 days):
- CPA vs target
- ROAS vs target
- Learning phase % (should be <20% of budget)
Share the account ID and I'll generate a complete audit with health score and action plan!"
Other skills for the same job
Different authors, same problem. Matched on the words in the skill name, across every library in the catalogue except this one.
- meta-ads-expert by Varnan-Tech · 645
- meta-tribe-skill by Varnan-Tech · 645
- find-lead-account-owner by zapier · 336
- ai-audit-account-report by zapier · 336
- named-account-trigger-radar by zapier · 336
- territory-account-launch by louisblythe · 153
- account-structure-review by thatrebeccarae · 139
- cro-auditor by thatrebeccarae · 139
Need help setting it up?
This page tells you what meta-account-auditor does and what it needs. Cheetah builds the agent setup it runs inside: data, CRM, sequencing and the guardrails.
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