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amazon-ads-optimizer

Optimize Amazon Sponsored Products, Brands, and Display campaigns with ACOS/TACOS analysis, search term mining, and bid strategies. Use when optimizing Amazon Ads, analyzing ACOS, mining search terms, structuring campaigns, or selecting bid strategies.

Quality

81%

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

65%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 exceptionally actionable, with concrete thresholds, decision rules, and worked examples that leave no ambiguity about what to do. However, it inlines everything with no reference files, repeats formulas, and lacks validation checkpoints for batch modifications to live campaigns.

Suggestions

Deduplicate the ACOS formula (defined in both the ACOS/TACOS Analysis workflow and the Formulas section) and drop basic metric definitions Claude already knows (CTR, CVR, CPC); remove the promotional 'About this skill' footer.

Add explicit validation checkpoints to batch workflows, e.g., re-review paused keywords after 14 days for changed performance and verify newly added negatives did not block converting search terms before making them permanent.

Move the category benchmark tables, placement/format comparisons, and detailed examples into references/ files (e.g., references/benchmarks.md, references/examples.md), keeping SKILL.md as a concise overview with clearly signaled one-level-deep links.

DimensionReasoningScore

Conciseness

Mostly efficient domain data (benchmark tables, numeric thresholds), but the ACOS formula is defined twice, the Formulas section re-derives basics Claude already knows (CTR = Clicks/Impressions, CVR = Orders/Clicks, CPC), and the closing 'About this skill' section is promotional padding — matching anchor 3 (mostly efficient but could be tightened).

3 / 5

Actionability

For an instruction-only skill, the guidance is fully executable: exact numeric criteria ('Orders >= 2, ACOS <= target ACOS', 'spend > 2x product price, 0 orders'), conditional bid rules ('reduce bid by 20-30%', 'increase by 50% or match suggested bid'), and three worked examples (launch, ACOS reduction, search term mining) covering the common cases — matching anchor 5.

5 / 5

Workflow Clarity

Workflows are clearly sequenced with conditional logic, but they direct batch modifications to live campaigns (pausing keywords, adding negatives, bid changes) with no explicit verification steps — e.g., confirming negatives didn't block converting terms or re-checking paused keywords — and the rubric caps batch-operation workflows without validation at 3.

3 / 5

Progressive Disclosure

No bundle files exist; roughly 180 lines of category benchmarks, format comparisons, and worked examples are inlined in SKILL.md. Section headers provide structure, but content that clearly belongs in references/ files is inline with no offloading — matching anchor 3 (some structure, content that should be separate is inline) rather than anchor 2 since organization is genuinely good.

3 / 5

Total

14

/

20

Passed

Description

87%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 that clearly and explicitly states both what the skill does and when to use it, with concrete Amazon-specific trigger terms. Minor room to improve by naming a few more capability specifics and natural synonyms like 'Amazon PPC' or 'Sponsored Products'.

DimensionReasoningScore

Specificity

Names the domain ('Amazon Sponsored Products, Brands, and Display campaigns') and several concrete actions ('ACOS/TACOS analysis, search term mining, and bid strategies'), but 'bid strategies' is generic and capabilities like negative-keyword pruning and campaign structuring are compressed or omitted from the what-clause — matching anchor 4 (several specific actions, minor gaps) rather than the comprehensive coverage of anchor 5.

4 / 5

Completeness

Sentence 1 explicitly answers 'what' (optimize Amazon ad campaign types with ACOS/TACOS analysis, search term mining, bid strategies) and sentence 2 explicitly answers 'when' with five concrete trigger phrases, mirroring the anchor-5 example pattern; anchor 4's caveat ('when could be more explicit') does not apply.

5 / 5

Trigger Term Quality

The 'Use when' clause lists natural phrases users would actually say ('optimizing Amazon Ads, analyzing ACOS, mining search terms, structuring campaigns, or selecting bid strategies'), but common variants like 'Amazon PPC', 'Sponsored Products', 'TACOS', or 'lower my ACOS' are missing — good coverage with a few natural terms absent, matching anchor 4.

4 / 5

Distinctiveness Conflict Risk

Amazon-specific terminology (Sponsored Products/Brands/Display, ACOS, TACOS) establishes a clear niche with distinct triggers and minimal conflict risk against generic PPC or marketing skills, matching anchor 5.

5 / 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

Synter-Media-AI/free-skills

Path

skills/amazon-ads-optimizer/SKILL.md

Reviewed

Table of Contents

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