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paid-creative-ai

When the user wants to create AI-generated ad creative, test performance creative, manage creative fatigue, or optimize paid media with AI tools. Also use when the user mentions 'ad creative,' 'performance creative,' 'creative testing,' 'creative fatigue,' 'Meta ads,' 'Google ads,' 'TikTok ads,' 'AI ads,' 'ad budget,' 'ROAS,' 'Advantage+,' or 'Performance Max.' This skill covers AI-powered paid creative from generation through performance optimization. Do NOT use for technical implementation, code review, or software architecture.

Quality

86%

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

77%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.

A highly actionable body with excellent workflow sequencing and concrete numbers throughout, weakened by monolithic inline benchmarks and time-sensitive pricing that belong in the existing reference file, which is itself under-used and duplicated. Restructuring what lives in SKILL.md versus quick-reference.md would lift both conciseness and progressive disclosure.

Suggestions

Move Section 7 (Platform Cost Benchmarks 2025-2026) and the AI tool pricing/comparison tables into references/quick-reference.md, keeping only a pointer where those numbers are first used.

Signal the reference at point of need — e.g., link quick-reference.md from the budget, kill-criteria, and 'Before Starting' sections — instead of a single line at the very bottom, and remove the duplicated discovery questions and decision tree from one of the two files.

Tighten repetitive setup lists (e.g., 'What Advantage+ automates' vs. 'What you still control') into the comparison table format already used elsewhere to cut token overhead.

DimensionReasoningScore

Conciseness

Mostly efficient — dense tables of domain-specific data Claude does not reliably know, with no padding explaining basic concepts. But ~150 lines of time-sensitive benchmark and pricing data ("Platform Cost Benchmarks (2025-2026)") sit inline instead of in references, and the 'Before Starting' questions duplicate the reference file's 'Questions to Ask.' Not 4: undated time-sensitive figures kept inline and the duplication are more than minor trimmable instances.

3 / 5

Actionability

Concrete, executable guidance throughout: specific budgets ("$20-50/day per concept"), thresholds ("Hook rate (>25%)," "CTR < 0.5%" kill rules), timelines (day-by-day production workflow), and checklists, plus worked Examples and Troubleshooting sections covering common cases. Not 4: numbers and decision rules are copy-apply ready for the common scenarios.

5 / 5

Workflow Clarity

Clear sequencing with explicit validation checkpoints: a 5-step day-by-day production workflow, a 3-phase testing framework each with Goal/Budget/Metrics/Decision, minimum-data gates ("Never kill before minimum data"), scaling limits, and a pre-launch compliance checklist. Not 4: checkpoints and decision rules are explicit at every phase, not implicit.

5 / 5

Progressive Disclosure

One real, one-level-deep reference (references/quick-reference.md) exists and is linked, but it is signaled only once at the very bottom rather than at the sections it supports, and the body inlines large benchmark/checklist content that belongs in that reference (which even partially duplicates it — spend decision tree, questions, checklists). Not 4: the reference is buried and the split between body and reference is not clean; not 2: a genuine reference structure does exist and much of the body content (frameworks, workflows) is appropriately placed.

3 / 5

Total

16

/

20

Passed

Description

88%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.

A strong description: concrete capabilities, an explicit 'Use when' trigger list, a clear scope statement, and a negative exclusion clause. The only weaknesses are a few missing natural synonyms and some trigger terms broad enough to overlap general paid-media questions.

DimensionReasoningScore

Specificity

Lists four concrete, comprehensive actions — "create AI-generated ad creative, test performance creative, manage creative fatigue, or optimize paid media with AI tools" — spanning the full domain from generation through performance optimization. Not 4: coverage is comprehensive rather than having minor gaps.

5 / 5

Completeness

Explicitly answers both: what ("This skill covers AI-powered paid creative from generation through performance optimization") and when ("Use when the user mentions 'ad creative,' ... or 'Performance Max'") with concrete trigger phrases. Not 4: the 'when' clause is fully explicit, not weakly implied.

5 / 5

Trigger Term Quality

Twelve natural, quotable trigger terms ("ad creative," "creative fatigue," "Meta ads," "ROAS," "Advantage+," "Performance Max") that users would actually say. Not 5: misses common variations like "paid social," "Facebook ads," "YouTube ads," or "LinkedIn ads" even though the skill covers those platforms.

4 / 5

Distinctiveness Conflict Risk

Clear niche with an explicit exclusion boundary ("Do NOT use for technical implementation, code review, or software architecture") and platform-specific triggers. Not 5: broad terms like "Meta ads," "Google ads," and "ad budget" could fire on general paid-media management questions that are outside creative-specific scope, giving some overlap risk with adjacent marketing skills.

4 / 5

Total

18

/

20

Passed

Validation

100%

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

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

tech-leads-club/agent-skills

Path

packages/skills-catalog/skills/(gtm)/paid-creative-ai/SKILL.md

Reviewed

Table of Contents

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