Conciseness

The body is lean and assumes Claude's competence (no concept explanations, no padding in the Workflow or Output Defaults sections). Minor over-inclusion keeps it below 5: 'The reference is generated from data/style-library.json' and the Maintenance section's npm install commands are repository-maintenance context rather than invocation guidance.

Actionability

Concrete, executable guidance throughout: a fixed match order ("template category, visual style tag, scene tag, then nearest example cases"), six named prompt blocks, language-specific output defaults, and runnable commands. It falls short of fully copy-paste-ready (5) because no worked text example of a finished GPT-Image2 prompt is shown — the only example is an image plus a one-line request.

Workflow Clarity

The six-step Workflow is clearly sequenced with an explicit decision checkpoint at step 4 ("If several are plausible, present 2-3 options with short reasons and ask the user to choose"). It is not a destructive or batch operation, so no validation cap applies; it misses 5 only because there is no step verifying the built prompt against the reference's pitfalls before output.

Progressive Disclosure

The SKILL.md is a clear 53-line overview with one well-signaled, one-level-deep reference ("Read references/style-library.md before choosing a template or style") that actually exists and holds the 659-line template index, plus a verified asset image (assets/city-life-system-map.png). Content is appropriately split and navigation is easy, matching the top anchor.

Specificity

The description lists several concrete actions ("create, rewrite, classify, or improve image-generation prompts" and choosing "visual styles and industrial prompt templates") with only minor coverage gaps in the concrete output types. It falls short of a 5 because 'choose from the library' leaves the prompt outputs (poster, UI, infographic, etc.) implicit.

Completeness

It explicitly answers both questions: the 'what' ("Choose GPT-Image2 / gpt-image-2 visual styles and industrial prompt templates from the awesome-gpt-image-2 style library") and a concrete 'when' ("Use when an agent needs to create, rewrite, classify, or improve image-generation prompts..."), matching the score-5 anchor's shape. Not below 5 because the 'when' clause is explicit and trigger-phrase-like rather than weakly implied.

Trigger Term Quality

Natural terms users would say are well covered: "image-generation prompts", "GPT-Image2", "gpt-image-2", "visual styles", "prompt templates", "improve ... prompts". A few natural synonyms users actually say (photo, poster, illustration, 'write an image prompt') are missing, so it sits between the good (4) and comprehensive (5) anchors.

Distinctiveness Conflict Risk

The skill occupies a clear niche (GPT-Image2 / awesome-gpt-image-2 style library) with distinct triggers tied to image-generation prompts, giving minimal overlap risk with other skills. It clearly matches the 'clear niche with distinct triggers' anchor.