Conciseness

Roughly 300 of the ~710 body lines are generic framework boilerplate unrelated to design exploration — a full "Voice" persona section (~40 lines), "Boil the Lake" essay promotion, telemetry/proactive onboarding dialogs, an effort-compression table, contributor mode, and a plan-footer protocol — all auto-generated shared scaffolding that pads every token of context. This is "noticeably verbose; several unnecessary explanations or padded sections" (2-anchor); it exceeds the 3-anchor's "some unnecessary explanation" since the padding is systematic and comprises nearly half the file.

Actionability

The design-shotgun steps are highly concrete: exact bash setup blocks, the full `$D` command list, a complete copy-paste agent prompt template with retry rules, a polling loop, and the feedback JSON shape. It falls short of fully executable (5-anchor) due to real gaps: `$D=$GSTACK_DESIGN/design` references `$GSTACK_DESIGN`, which is never defined in the preamble (only `GSTACK_BROWSE` is), and zsh-only `setopt +o nomatch` / `source <(...)` lines appear inside otherwise bash-targeted blocks.

Workflow Clarity

Steps 0–6 are clearly sequenced with explicit validation checkpoints and error-recovery loops: concept confirmation before spending API credits, a quality gate (`$D check`) with regeneration retry, per-agent verification (`ls -lh`) with structured DONE/FAILED reports, fallback to sequential generation on parallel failure, a 10-minute polling timeout with AskUserQuestion fallback, and mandatory feedback-confirmation before saving `approved.json`. This matches the 5-anchor (clear sequence, explicit validation, feedback loops for error recovery).

Progressive Disclosure

There are no bundle files at all (no references/, scripts/, or assets/) — everything lives in one ~710-line monolithic SKILL.md, and the auto-generated marker ("AUTO-GENERATED from SKILL.md.tmpl") shows the shared framework policies are re-inlined per skill rather than split into a common reference one level deep. The design-shotgun section itself is well organized with clear step headings, but content that should be separate is inline, matching the 3-anchor rather than the 4-anchor's "most content is appropriately placed".

Specificity

The description lists multiple specific concrete actions covering the full workflow: "generate multiple AI design variants, open a comparison board, collect structured feedback, and iterate". This matches the 5-anchor's comprehensive coverage of concrete actions; it is not the 4-anchor because there are no noticeable gaps in coverage of the skill's stated purpose.

Completeness

It explicitly answers both questions: what ("generate multiple AI design variants, open a comparison board, collect structured feedback, and iterate") and when ("Use when: 'explore designs', 'show me options'... or 'I don't like how this looks'"). Both are present with concrete trigger phrases, matching the 5-anchor exactly; the 4-anchor would require a less explicit 'when', which is not the case here.

Trigger Term Quality

Trigger phrases are natural conversational terms users would say: "explore designs", "show me options", "design variants", "visual brainstorm", "I don't like how this looks", plus a proactive cue ("user describes a UI feature but hasn't seen what it could look like"). A few natural synonyms are still missing (e.g., mockup, redesign, UI options/alternatives), which fits the 4-anchor ("good keyword coverage; a few natural terms missing") rather than the comprehensive 5-anchor.

Distinctiveness Conflict Risk

It carves a clear niche — AI design variant generation with browser-based comparison and structured feedback — with distinctive conversational triggers ("visual brainstorm", "I don't like how this looks") unlikely to collide with document, chart, or code skills. This matches the 5-anchor (clear niche with distinct triggers, minimal conflict risk); the 4-anchor would imply meaningful overlap with a closely related skill, which the triggers avoid.