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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.

72

Quality

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Quality

Content

77%

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

A dense, highly actionable reference packed with specific thresholds and well-sequenced testing/scaling workflows with validation checkpoints. Its weaknesses are token weight and overlap: the ~450-line body duplicates material held in quick-reference.md and could push benchmarks/formulas into references to earn a higher progressive-disclosure score.

Suggestions

Move the benchmark tables (Section 7 CPM/CPC/ROAS/CPA) and key formulas into references/quick-reference.md, keeping only decision rules inline, to reduce duplication and raise progressive_disclosure.

Trim Section 7 and the cross-platform adaptation matrix to summary tables or one-line pointers, cutting the ~450-line body toward a leaner overview.

Add a short top-of-file navigation line that signals which sections live in references so the one-level reference is more clearly signaled.

DimensionReasoningScore

Conciseness

Mostly efficient tables of concrete thresholds, but the body runs ~450 lines and substantial material (spend decision tree, formulas, kill/scale rules) overlaps the quick-reference file, so it could be tightened; not a 1 because it avoids explaining concepts Claude already knows.

2 / 3

Actionability

Concrete, copy-paste-ready guidance throughout — specific thresholds ('hook rate >25%,' 'CPA > 2x target,' 'increase budget 20% every 2-3 days'), exact asset limits, and named tools with prices, matching the fully-executable anchor.

3 / 3

Workflow Clarity

Clear sequenced phases (concept testing -> element isolation -> winner scaling) with explicit validation checkpoints and minimum-data gates ('Never kill before minimum data'), matching the explicit-checkpoints anchor.

3 / 3

Progressive Disclosure

A single one-level reference (references/quick-reference.md) is clearly signaled at the end, but the SKILL.md body itself is a monolithic ~450-line wall containing benchmark tables and decision trees that overlap the reference file rather than being split out; matches the 'some structure, content that should be separate is inline' anchor.

2 / 3

Total

10

/

12

Passed

Description

100%

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 well-crafted description that names concrete actions, surfaces natural trigger terms, and explicitly bounds when to use it. Minor note: it uses second-person phrasing ('When the user wants') rather than strict third-person voice, but this does not reduce a dimension here as the rubric's voice penalty applies to 'I can help'/'You can use this' forms and the phrasing centers on the user's intent.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'create AI-generated ad creative,' 'test performance creative,' 'manage creative fatigue,' and 'optimize paid media with AI tools' — matching the top anchor of several specific concrete actions.

3 / 3

Completeness

Explicitly answers both what (generation through performance optimization) and when ('Also use when the user mentions...'), plus explicit exclusions; not a 2 because the 'when' trigger guidance is present and explicit.

3 / 3

Trigger Term Quality

Strong coverage of natural terms users would say ('ad creative,' 'Meta ads,' 'Google ads,' 'TikTok ads,' 'ROAS,' 'Advantage+,' 'Performance Max'), matching the good-coverage anchor.

3 / 3

Distinctiveness Conflict Risk

Clear niche (AI-powered paid creative) with distinct platform-specific triggers and an explicit 'Do NOT use for technical implementation...' boundary, making it unlikely to fire for the wrong skill.

3 / 3

Total

12

/

12

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
tech-leads-club/agent-skills
Reviewed

Table of Contents

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