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ecommerce-image-workflow

Reference-product ecommerce image workflow for generating a compact set of product-faithful main, feature, and lifestyle images from real product reference photos. V1 requires uploaded product imagery and intentionally defers brief-only concept generation and platform-specific batch exports.

65

Quality

79%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./skills/ecommerce-image-workflow/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

88%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 a highly actionable, well-sequenced workflow with executable code, concrete artifacts, and real validation checkpoints; its main weakness is mild redundancy of the V1 scope constraint and limited use of progressive disclosure beyond one reference file.

DimensionReasoningScore

Conciseness

The body is largely lean with executable code and purposeful tables, but the 'V1 reference-product only' constraint is restated in the intro, Step 0, and Hard rules, and phrases like 'Do not ask broad discovery questions. Keep the workflow moving.' are mildly trimmable; not a 5 due to this repeated over-explanation.

4 / 5

Actionability

Provides a complete, copy-paste-ready POSIX bash generate/wait loop using the OpenDesign media dispatcher, a concrete image-manifest.json template, and explicit per-slot prompt instructions covering the common three-slot case.

5 / 5

Workflow Clarity

Steps 0–7 are clearly sequenced with explicit validation checkpoints (Step 0 stops if no reference image, the wait loop retries on ec=2 and exits on other errors, the model-incompatibility guard, and 'Run references/checklist.md before handoff'), satisfying the batch-operation feedback-loop requirement.

5 / 5

Progressive Disclosure

A resource map documents the bundle and references/checklist.md (verified to exist) is clearly signaled and one level deep; most content sits inline in SKILL.md, which is appropriate for a workflow skill, but only a single external reference is used so the split is not fully exercised.

4 / 5

Total

18

/

20

Passed

Description

70%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 specific, distinct, and uses a clean third-person voice with concrete output types, but it lacks an explicit 'Use when…' trigger clause, which caps its completeness.

Suggestions

Add an explicit 'Use when…' clause naming the trigger situations (e.g., 'Use when generating a compact ecommerce image set from uploaded product reference photos').

Surface a few natural synonyms or platform terms (amazon, shopify, packshot) in the description to lift trigger-term coverage toward comprehensive.

Tighten the V1 scope sentence so the deferral note does not dilute the core capability statement.

DimensionReasoningScore

Specificity

Names the domain ('Reference-product ecommerce image workflow') and several concrete outputs ('product-faithful main, feature, and lifestyle images from real product reference photos'); not a 5 because the underlying action is a single generate step rather than a comprehensive set of distinct actions.

4 / 5

Completeness

The 'what' is clearly stated (generating a compact product-faithful image set), but there is no explicit 'Use when…' clause or equivalent trigger guidance in the description field, so completeness is capped at 3 per the rubric guidelines.

3 / 5

Trigger Term Quality

Includes natural terms a user would say ('ecommerce', 'product images', 'reference photos', 'main, feature, and lifestyle'); a few common synonyms/platform names are absent from the description text itself, keeping it just below comprehensive.

4 / 5

Distinctiveness Conflict Risk

Occupies a clear niche (reference-product ecommerce image generation) with distinctive scope language ('V1 requires uploaded product imagery', 'defers brief-only concept generation'), minimizing overlap with adjacent skills.

5 / 5

Total

16

/

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
nexu-io/open-design
Reviewed

Table of Contents

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