Lists multiple specific concrete actions and output types: 'generate or edit raster images', 'photos, illustrations, textures, sprites, mockups, transparent-background cutouts', 'create a brand-new image, transform an existing image, derive visual variants from references'. Very detailed enumeration of capabilities.

Clearly answers both 'what' (generate/edit raster images including photos, illustrations, textures, sprites, mockups, cutouts) and 'when' (explicit 'Use when' clause for creation, transformation, and variant derivation, plus a 'Do not use when' clause that further clarifies boundaries). Exemplary completeness.

Excellent coverage of natural terms users would say: 'photos', 'illustrations', 'textures', 'sprites', 'mockups', 'cutouts', 'bitmap', 'raster images', 'image', 'transparent-background'. These are terms users would naturally use when requesting image generation or editing tasks.

Highly distinctive with explicit boundary-setting: specifies 'bitmap asset rather than repo-native code or vector' and includes a 'Do not use when' clause that distinguishes it from SVG/vector editing, icon systems, and HTML/CSS/canvas work. This makes it very unlikely to conflict with code-based or vector-based visual skills.

The skill is extremely verbose at ~250+ lines. It repeatedly restates the same rules (e.g., 'built-in by default, CLI only if explicit' is stated 8+ times; save-path policy is reiterated multiple times). Many sections explain things Claude already knows or could infer, and the constant 'fallback-only' disclaimers add significant redundancy.

The skill provides a structured prompt schema, taxonomy slugs, and two concrete prompt examples, which are useful. However, it lacks executable code examples for the built-in tool usage (no actual `image_gen` tool call syntax shown), and the workflow steps are procedural descriptions rather than copy-paste-ready commands. The CLI section defers most concrete details to reference files.

The 17-step workflow is clearly sequenced with explicit decision points (mode selection, intent classification, execution strategy), validation steps (step 12: inspect outputs), iteration guidance (step 13), and clear save-path handling with non-destructive defaults. The decision tree for generate vs edit is well-structured with explicit criteria.

The skill has a clear reference map at the bottom with well-signaled one-level-deep references. Shared resources vs fallback-only resources are clearly separated. Content is appropriately split between the main skill file and reference documents (prompting.md, cli.md, image-api.md, sample-prompts.md).