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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.

67

Quality

81%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

The canonical home for this skill is ad-creative in administrakt0r/AI-Agents-Safe-Coding-Skills

SKILL.md
Quality
Evals
Security

Quality

Content

67%Weight 40%Scale 1-5

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

The body is well-structured and actionable with clear workflows and real reference files, but it is held back by redundant inline platform specs (duplicated in the reference) and some basic copywriting coaching Claude does not need.

Suggestions

Remove the inline platform spec tables and rely solely on references/platform-specs.md, keeping only a one-line pointer plus any platform-specific gotchas not in the reference.

Trim the "Writing Quality Standards" section to the non-obvious rules (e.g., RSA independence, character-utilization patterns) and drop general principles like active-vs-passive voice.

Add an explicit validation feedback loop to the batch workflow (e.g., "if any variation fails the limit check, regenerate trimmed and re-validate before delivery").

DimensionReasoningScore

Conciseness

Mostly efficient but includes redundancy — platform spec tables appear both inline and again in references/platform-specs.md — and teaches headline basics (active vs. passive, specific over vague) Claude already knows.

3 / 5

Actionability

Provides concrete char-limit tables, sequenced generation/iteration steps, copy-paste-ready output templates (CSV, iteration log), and actual CLI commands, with only minor gaps.

4 / 5

Workflow Clarity

Clear core loop and sequenced steps for both modes, with a "Validate Against Specs" checkpoint that flags over-limit copy and offers trimmed alternatives; minor feedback-loop explicitness gaps for batch operations.

4 / 5

Progressive Disclosure

Two real one-level-deep references (platform-specs.md, generative-tools.md) are clearly signaled and well-organized, though platform specs are duplicated inline rather than fully delegated to the reference.

4 / 5

Total

15

/

20

Passed

Description

96%Weight 40%Scale 1-5

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

The description is strong, concise, and third-person, with explicit what-and-when guidance and concrete trigger terms. Minor overlap with related copywriting skills is the only weakness.

DimensionReasoningScore

Specificity

Lists multiple concrete actions ("Create, iterate, and scale") plus concrete deliverables ("headlines, descriptions, primary text... large sets of ad variations") across named platforms, giving comprehensive coverage.

5 / 5

Completeness

Explicitly answers both what ("Create, iterate, and scale paid ad creative...") and when ("Use when generating headlines, descriptions, primary text, or large sets of ad variations...") with concrete trigger phrases.

5 / 5

Trigger Term Quality

Covers natural terms users would say — "ad creative", "headlines", "descriptions", "primary text", "ad variations" — alongside platform names (Google Ads, Meta, LinkedIn, TikTok) including synonyms.

5 / 5

Distinctiveness Conflict Risk

Clear paid-ad-creative niche with platform-specific triggers and minimal conflict risk, though it lightly overlaps with adjacent copywriting/copy-editing skills.

4 / 5

Total

19

/

20

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
administrakt0r/AI-Agents-Safe-Coding-Skills
Reviewed

Table of Contents

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