Ads Audit
Skill ActiveFull 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.
To provide users with a comprehensive, data-driven audit of their paid advertising accounts, identifying key areas for improvement and generating actionable recommendations to optimize performance.
Features
- Multi-platform ad account auditing
- Per-platform and aggregate health scoring
- Industry-specific strategic planning templates
- Actionable recommendations and quick wins
- PDF report generation
Use Cases
- When a user needs a full audit of their paid advertising accounts.
- When a user asks for an analysis of their ad account health.
- When a user requests an account health check or PPC audit.
- When a user needs strategic planning for different business types.
Non-Goals
- Automatically connecting to ad platform APIs (except via optional MCP servers).
- Creating, editing, or posting ads directly.
- Replacing manual ad management tasks.
Documentation
- info:Configuration & parameter referenceWhile the README and SKILL.md are extensive, explicit documentation for all configuration parameters and their defaults or precedence is not readily apparent.
Maintenance
- warning:Dependency ManagementThe README mentions optional dependencies like Playwright and reportlab but does not specify version pinning or update mechanisms, nor does it mention vulnerability checks for these dependencies.
Execution
- info:ValidationThe SKILL.md describes input validation for provided data and scoring logic, but the underlying implementation details and use of schema libraries are not fully explicit.
- warning:Pinned dependenciesThe README mentions Python 3.10+ and optional dependencies, but there is no clear indication of pinned interpreter versions or lockfiles for managing these dependencies, potentially impacting portability.
Code Execution
- info:Error HandlingThe SKILL.md outlines quality gates and scoring logic, but explicit details on how the skill handles and reports errors, including structured error messages with retry guidance, are not provided.
- info:Tool FallbackWhile the SKILL.md mentions optional MCP server integration, it does not explicitly state if there's a built-in fallback for when MCP servers are unavailable, nor does it document the required MCP version in the frontmatter.
Errors
- info:Actionable error messagesWhile the skill describes quality gates and scoring, the specific format and content of user-facing error messages, including remediation steps, are not explicitly detailed.
Practical Utility
- info:Edge casesThe SKILL.md mentions quality gates and data validation, but explicit documentation of failure modes, their symptoms, and recovery steps for edge cases is not readily available.
Installation
First, add the marketplace
/plugin marketplace add AgriciDaniel/claude-ads/plugin install claude-ads@agricidaniel-claude-adsQuality Score
Trust Signals
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