ad-creative

Create, iterate, and scale paid ad creative for Google Ads, Meta, LinkedIn, TikTok, and similar platforms. Use when generating headlines, descriptions, primary text, or large sets of ad variations for testing and performance optimization.

Quality

88%

Does it follow best practices?

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Quality

Content

77%Scale 1-3

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

This is a well-structured, highly actionable skill that provides concrete guidance for ad creative generation across multiple platforms. Its main weakness is verbosity — it includes copywriting best practices Claude already knows and keeps substantial detail inline that could be offloaded to reference files. The workflows are clear with good validation steps, and the output format examples are particularly strong with character count validation built in.

Suggestions

Trim the 'Writing Quality Standards' and 'Common Mistakes' sections significantly — these are general copywriting/advertising principles Claude already knows. Keep only platform-specific or non-obvious guidance.

Move the detailed platform specs tables into the referenced references/platform-specs.md file (and actually provide it in the bundle) rather than duplicating them inline. Keep only a brief summary or the most critical limits in the main skill.

Provide the referenced bundle files (references/platform-specs.md, references/generative-tools.md) to support the progressive disclosure structure, or remove the references if they don't exist.

Dimension	Reasoning	Score
Conciseness	The skill is quite long (~300+ lines) and includes some content Claude already knows (e.g., general advice like 'active voice over passive,' 'benefits over features,' common copywriting principles). The platform specs tables and output format examples earn their place, but sections like 'Writing Quality Standards' and 'Common Mistakes' largely restate advertising best practices Claude already understands. Could be tightened by 30-40%.	2 / 3
Actionability	The skill provides highly concrete, actionable guidance: specific character limits per platform in tables, structured output format examples with character counts, CSV templates for bulk upload, specific CLI commands for pulling performance data, and clear step-by-step processes for both generation and iteration modes. The examples are copy-paste ready and include real formatting patterns.	3 / 3
Workflow Clarity	Multi-step workflows are clearly sequenced with explicit validation checkpoints. The generate workflow (define angles → generate variations → validate against specs → organize for upload) and the iteration workflow (analyze winners → analyze losers → generate new → document iteration) both have clear sequences. The spec validation step serves as a feedback loop, and the batch generation workflow includes a quality filter step. The iteration log template provides structured tracking.	3 / 3
Progressive Disclosure	The skill references two external files (references/platform-specs.md and references/generative-tools.md) and related skills, which is good structure. However, no bundle files were provided, so these references may be broken. Additionally, the main file is quite long and could benefit from moving the detailed platform specs tables and the generative tools section into their referenced files rather than duplicating/summarizing inline. The tool integrations section could also be a separate reference.	2 / 3
	Total	10 / 12 Passed

Description

100%Scale 1-3

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

This is a strong skill description that clearly defines its scope (paid ad creative), lists specific platforms and deliverables, and includes an explicit 'Use when' clause with natural trigger terms. It follows third-person voice conventions and is concise without being vague. It serves as a near-ideal example of a well-crafted skill description.

Dimension	Reasoning	Score
Specificity	Lists multiple specific concrete actions: 'create, iterate, and scale paid ad creative', 'generating headlines, descriptions, primary text', and 'large sets of ad variations for testing and performance optimization'. These are concrete, actionable capabilities.	3 / 3
Completeness	Clearly answers both what ('Create, iterate, and scale paid ad creative for Google Ads, Meta, LinkedIn, TikTok, and similar platforms') and when ('Use when generating headlines, descriptions, primary text, or large sets of ad variations for testing and performance optimization') with an explicit 'Use when' clause.	3 / 3
Trigger Term Quality	Excellent coverage of natural terms users would say: 'Google Ads', 'Meta', 'LinkedIn', 'TikTok', 'headlines', 'descriptions', 'primary text', 'ad variations', 'ad creative', 'paid ad'. These are terms users naturally use when requesting ad copy help.	3 / 3
Distinctiveness Conflict Risk	Highly distinctive with a clear niche in paid advertising creative across specific platforms. The mention of specific platforms (Google Ads, Meta, LinkedIn, TikTok) and ad-specific terms (headlines, primary text, ad variations) make it unlikely to conflict with general copywriting or marketing skills.	3 / 3
	Total	12 / 12 Passed

Validation

90%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 10 / 11 Passed

Validation for skill structure

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	10 / 11 Passed

Repository: popey/claude-code-skills
Path: skills/ad-creative/SKILL.md
Commit: a5a6601

Reviewed: 5 days ago

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