Ads Creative
Skill ActiveCross-platform creative quality audit covering ad copy, video, image, and format diversity across all platforms. Detects creative fatigue, evaluates platform-native compliance, and provides production priorities. Use when user says creative audit, ad creative, creative fatigue, ad copy, ad design, or creative review.
To provide a deep, data-driven audit of paid advertising creatives and campaign strategies across major platforms, identifying fatigue, compliance issues, and opportunities for improvement.
Features
- Cross-platform creative quality audit
- Ad copy, video, and image analysis
- Detection of creative fatigue signals
- Platform-native compliance evaluation
- Production priority recommendations
- Industry-specific strategic ad planning templates
Use Cases
- When needing to audit ad campaign creatives for effectiveness.
- When identifying signs of creative fatigue across platforms.
- When developing strategic advertising plans tailored to business types.
- When evaluating ad campaign performance against industry benchmarks.
Non-Goals
- Directly managing or posting ads on any platform.
- Connecting to ad platform APIs automatically without user intervention.
- Providing generic marketing advice outside of paid advertising audits.
Documentation
- info:Configuration & parameter referenceWhile many parameters and configurations are implied through the command structure and documentation, explicit defaults and precedence orders for all options are not detailed.
Maintenance
- warning:Dependency ManagementWhile Python dependencies are mentioned (Playwright, reportlab), there's no explicit lockfile or vulnerability scanning mechanism detailed, though CI is present.
Code Execution
- info:ValidationThe extension relies on user-provided structured data and command arguments; explicit schema validation libraries are not evident in the provided source, though input handling is implied.
- info:Error HandlingWhile the README implies robust error handling through Claude Code's framework, specific details on how errors are caught, categorized, and reported are not explicitly detailed in the provided source.
Scope
- warning:Tool surface sizeThe extension exposes a very large number of commands (over 20 distinct `/ads` sub-commands), which may lead to model confusion and precision issues.
Invocation
- warning:Overlapping near-synonym toolsThe extension exposes multiple near-synonym commands for similar analysis types (e.g., `/ads google`, `/ads meta`, and also `/ads audit` which seems to encompass these), potentially causing disambiguation issues for the model.
Errors
- info:Actionable error messagesWhile the extension aims for actionable insights, specific error message framing for failure modes is not detailed in the provided documentation.
Execution
- warning:Pinned dependenciesPython dependencies are mentioned but not explicitly pinned with lockfiles, and scripts lack shebangs with side-effect headers, posing a potential portability risk.
Practical Utility
- info:Edge casesThe documentation implies handling of various ad platforms and scenarios, but explicit documentation of failure modes and recovery steps for edge cases is not detailed.
Safety
- info:Halt on unexpected stateWhile the extension processes user-provided data, explicit machine-readable preconditions or instructions to halt on unexpected states are not detailed.
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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