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ads-audit

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".

Install with Tessl CLI

npx tessl i github:AgriciDaniel/claude-ads --skill ads-audit
What are skills?

90

2.82x

Quality

86%

Does it follow best practices?

Impact

96%

2.82x

Average score across 3 eval scenarios

SKILL.md
Review
Evals

Evaluation results

92%

70%

FreshBrew Coffee Co. — Google & Meta Ads Review

Output files and per-platform scoring structure

Criteria
Without context
With context

ADS-AUDIT-REPORT.md created

0%

100%

ADS-ACTION-PLAN.md created

0%

100%

ADS-QUICK-WINS.md created

0%

100%

Google category weights

0%

100%

Google weight values

0%

100%

Meta category weights

75%

100%

Meta weight values

0%

100%

Pass/warning/fail labels

0%

100%

Platform Health Score with grade

50%

100%

Priority level labels used

100%

100%

Remediation steps present

50%

100%

Platform-specific Quick Wins in report

0%

0%

Without context: $0.6316 · 4m 41s · 20 turns · 26 in / 13,172 out tokens

With context: $1.1547 · 7m 55s · 25 turns · 282 in / 24,296 out tokens

100%

58%

Meridian Fitness — Three-Platform Paid Ads Assessment

Aggregate scoring formula and cross-platform analysis

Criteria
Without context
With context

Aggregate formula applied

0%

100%

Correct aggregate value

0%

100%

Correct aggregate grade

0%

100%

Per-platform grades correct

30%

100%

Budget allocation assessment

87%

100%

Tracking consistency check

87%

100%

Creative consistency check

62%

100%

Attribution overlap check

12%

100%

Platform prioritization

37%

100%

Kill list present

50%

100%

Scaling opportunities present

85%

100%

Budget reallocation present

85%

100%

Without context: $0.4690 · 3m 44s · 11 turns · 16 in / 10,939 out tokens

With context: $0.8521 · 5m 17s · 24 turns · 28 in / 16,267 out tokens

96%

56%

Stackr SaaS — Pre-Launch Ads Account Cleanup

Quick wins identification and action plan prioritization

Criteria
Without context
With context

Only Critical/High in Quick Wins

33%

100%

Only <15-min fixes in Quick Wins

66%

100%

Quick wins sorted by impact

50%

62%

Action plan Critical section first

70%

100%

Action plan ordering complete

30%

100%

Executive summary aggregate score

0%

100%

Top 5 critical issues listed

50%

87%

Top 5 quick wins in summary

12%

100%

Business type detected

37%

100%

Active platforms listed

75%

100%

Per-platform scores in summary

0%

100%

Without context: $0.7473 · 5m 24s · 21 turns · 28 in / 15,082 out tokens

With context: $0.8564 · 5m 18s · 25 turns · 65 in / 16,170 out tokens

Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.