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Generate image-based alternatives, remixes, or new design directions from a Product Design brief. Use when the user asks for design variants, visual exploration, remixes, or image-generated approaches from provided context.

68

Quality

82%

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SKILL.md
Quality
Evals
Security

Quality

Content

81%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 highly actionable and workflow-safe: concrete dimensions, a copy-paste Image Gen prompt, explicit validation/retry gates, and a feedback loop. Its main weakness is token redundancy — the dimension guidance and ordering rules are each stated twice — which inflates the skill's size without adding information.

Suggestions

State the target-dimensions guidance once (in the Image Gen Prompt) and have Workflow step 5 reference it, removing the duplicated 'Mobile app: 390 x 844 ... Avoid crowding' block from the body.

Consolidate the two near-identical ordering caveats (Workflow rules and the Output section) into a single 'Option ordering' subsection that both places reference.

Move the ~50-line Image Gen prompt template into a references/ file linked from a short '## Image Gen Prompt' section to cut main-file tokens, keeping only the dimension defaults inline.

DimensionReasoningScore

Conciseness

The body is mostly lean instruction writing with no explanatory padding about concepts Claude already knows, but it duplicates content noticeably: the target-dimensions list appears verbatim in both Workflow step 5 and the Image Gen Prompt ("Mobile app: `390 x 844`"), "Avoid crowding..." is repeated, and the ordering caveat "Ignore the planned concept order, original request chain, ... `Promise.all` result order, batch order, array indexes, retry order" appears nearly verbatim twice. Anchor 3 — could be tightened without losing clarity; not 2 since there is no irrelevant concept explanation, only redundancy.

3 / 5

Actionability

Fully executable instruction-only guidance: a complete copy-paste Image Gen prompt template, exact dimension values per surface type, and a verbatim final-selection message ("Which option should I build: 1, 2, or 3? Or tell me what you'd like to refine or personalize first."). Concrete specifics cover the common cases, matching anchor 5.

5 / 5

Workflow Clarity

An 8-step sequenced workflow with explicit validation checkpoints for the batch generation: a precondition gate ("Do not generate images until `$get-context` has satisfied the minimum required design brief"), access-gap stops, a retry rule ("If fewer Image Gen outputs are visible than requested, retry the missing generation. Do not send the selection message."), and a dedicated Feedback Loop section for revise-and-regenerate. Matches the anchor-5 validate/fix/retry pattern.

5 / 5

Progressive Disclosure

No bundle files exist (references/, scripts/, assets/ are absent) and all cross-skill links ([$index](../index/SKILL.md), [$user-context](../user-context/SKILL.md), $get-context, $image-to-code) are clearly signaled and one level deep; sections are well organized. However, ~190 lines with a long inline prompt template and the duplicated dimensions list could be consolidated — good structure with minor organization gaps, so anchor 4 rather than 5.

4 / 5

Total

17

/

20

Passed

Description

83%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: it states concrete capabilities in third person and includes an explicit 'Use when' clause with natural trigger phrases. Minor room to broaden synonyms (mockups, design options) and to hint at the feedback/selection loop, but no fluff or over-claims.

DimensionReasoningScore

Specificity

Names the domain and several concrete actions ("Generate image-based alternatives, remixes, or new design directions from a Product Design brief"), with minor gaps in coverage — revision/feedback and option-selection routing are not mentioned. Not 3 since three distinct actions are listed; not 5 because coverage of the skill's full behavior is incomplete.

4 / 5

Completeness

Clearly answers both: what ("Generate image-based alternatives, remixes, or new design directions from a Product Design brief") and when ("Use when the user asks for design variants, visual exploration, remixes, or image-generated approaches") with concrete trigger phrases. Matches the anchor-5 example pattern; third-person voice is used correctly.

5 / 5

Trigger Term Quality

Good natural keyword coverage ("design variants", "visual exploration", "remixes", "image-generated approaches"), but common synonyms users would say such as "mockups", "design options", or "explore different designs" are missing. Not 3 since several natural phrases are present; not 5 since synonym coverage is incomplete.

4 / 5

Distinctiveness Conflict Risk

Distinct niche (image generation from a Product Design brief) with trigger terms that separate it from sibling skills like image-to-code or get-context, but a broad "generate designs" request could still overlap with other design-generation skills. Mostly distinct with minor overlap risk, so 4 rather than 5.

4 / 5

Total

17

/

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.

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 4 suspicious

Warning

Total

15

/

16

Passed

Repository
XiaomiMiMo/MiMo-Code
Reviewed

Table of Contents

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