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muapi-amazon-product-listing

Generate a complete Amazon product listing image set — hero image, lifestyle shot, infographic with features, and comparison/detail closeups optimized for Amazon standards.

52

Quality

58%

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SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./library/visual/amazon-product-listing/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

57%

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 concrete with specific prompts and model IDs, but it relies on shorthand command syntax instead of literal executable commands and lacks validation checkpoints for the batch image-generation workflow, capping actionability and workflow clarity at the mid level.

Suggestions

Replace the `muapi image generate (model=…)` shorthand with literal, copy-paste-ready CLI invocations (or complete curl examples with real JSON bodies) so each step is fully executable.

Add validation/verification checkpoints after the parallel generation — e.g. confirm each request_id completed via `muapi predict wait` and retry any failed image before presenting the set.

Remove the duplicated bold description line at the top of the body to avoid redundant tokens already present in the frontmatter.

DimensionReasoningScore

Conciseness

Mostly efficient with concrete prompts and an inputs table, but it duplicates the frontmatter description as a bold lead line and the 'Notes for the Executing Agent' could be tightened, matching the 'mostly efficient but could be tightened' anchor.

2 / 3

Actionability

Provides specific model IDs, full prompts, and aspect ratios, but the `muapi image generate (model=…)` invocations are shorthand rather than literal copy-paste CLI commands, and the curl fallback is a `{...}` template — concrete but not fully executable.

2 / 3

Workflow Clarity

The four images are clearly sequenced in parallel with ordered post-generation steps, but this batch operation has no validation/verification checkpoints or error-recovery loop, so per the batch-operations guideline workflow clarity is capped at 2.

2 / 3

Progressive Disclosure

A self-contained single-purpose recipe with no bundle files and well-organized sections (Inputs, Steps, Notes, Trigger Keywords, Executing-Agent notes); per the simple-skills guidance, well-organized sections without external references can score 3.

3 / 3

Total

9

/

12

Passed

Description

60%

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 specific about deliverables and scoped to a clear Amazon-listing niche, but it omits any explicit 'Use when…' trigger guidance and offers only narrow keyword coverage, leaving completeness and trigger quality at the mid level.

Suggestions

Append a 'Use when…' clause naming natural user triggers, e.g. 'Use when the user wants Amazon listing images, product photos for an Amazon listing, or A+ content visuals.'

Broaden trigger-term coverage with common phrasings users actually say, such as 'Amazon listing images', 'product photos', and 'ecommerce images'.

Tie the distinctiveness more tightly to Amazon-specific cues (main image on pure white, A+ content) so it is less likely to fire for generic product photography.

DimensionReasoningScore

Specificity

Lists multiple specific concrete deliverables — 'hero image, lifestyle shot, infographic with features, and comparison/detail closeups' — matching the anchor for enumerating several distinct actions rather than a single vague verb.

3 / 3

Completeness

Clearly states what the skill does (generate the listing image set) but has no 'Use when…' clause or equivalent explicit trigger guidance, so per the judging guidelines completeness is capped at 2.

2 / 3

Trigger Term Quality

Contains relevant domain terms like 'Amazon product listing image set' but lacks broader natural variations a user would say (e.g. 'Amazon listing images', 'product photos'); not the level-3 breadth of 'PDF files, PDFs, forms, document extraction'.

2 / 3

Distinctiveness Conflict Risk

The Amazon listing niche is fairly specific, but without explicit trigger terms it could still overlap with generic product-photography or ecommerce image skills, matching the 'somewhat specific but could overlap' anchor rather than the clearly-distinct level 3.

2 / 3

Total

9

/

12

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
SamurAIGPT/Generative-Media-Skills
Reviewed

Table of Contents

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