Conciseness

The body is directive and assumes competence — prerequisites, output conventions, and concrete commands with no concept explanations — matching the efficient anchor 4. It falls short of anchor 5 because of real redundancy: aspect ratios are listed twice (4 options in Step 1, 9 in Quick Reference) and the 'Prompt Tips' section overlaps heavily with the 'Common Prompt Patterns' section, tokens that could be trimmed.

Actionability

Steps 2 and 5 give concrete, mostly copy-paste-ready commands (batch_generate.py, crop_logo.py, remove_bg.py, vectorize.py — all of which exist in scripts/), with example output trees and a naming convention. It is not anchor 5 due to minor gaps: the browser-open step uses macOS-only `open`, and unresolved placeholders like `<nanobanana_skill_dir>` leave small execution details to the reader.

Workflow Clarity

The six-step sequence is clearly ordered with a user feedback loop ('Wait for user confirmation before proceeding!', iterate until user selects final logo), but there are no validation/verification checkpoints anywhere: no check that batch generations succeeded, no verification of crop or background-removal output before vectorizing. The rubric caps batch-operation workflows without validation at 3, so despite good sequencing it cannot score 4.

Progressive Disclosure

Structure is good in intent — a lean overview with one-level-deep references (references/styles.md exists and is real, and the three scripts/ files exist) — but two referenced files are missing from the bundle: templates/preview.html (core to Step 3's workflow) and examples/opc-logo-creation.md. Per the guideline to score against the actual bundle structure, broken navigation for two of four referenced paths is worse than anchor 4's 'minor organization gaps', landing on anchor 3.

Specificity

The description lists multiple concrete actions spanning the whole workflow: "generate variations, iterate with user feedback, crop, remove background, and export as SVG", matching the comprehensive-coverage anchor. The only mildly generic phrase ("Discuss style/ratio") is a minor part of an otherwise complete action list, so it does not drop it to the anchor 4 example of 'minor gaps in coverage'.

Completeness

It explicitly answers both questions: what ("Create logos using AI image generation. Discuss style/ratio, generate variations, ... export as SVG") and when ("Use when user wants to create a logo, icon, favicon, brand mark, mascot, emblem, or design a logo"). This matches the anchor 5 example structure verbatim — clear what plus explicit concrete trigger phrases — so it is neither the weakly-implied 'when' of anchor 3 nor the less-explicit 'when' of anchor 4.

Trigger Term Quality

"Use when user wants to create a logo, icon, favicon, brand mark, mascot, emblem, or design a logo" covers six natural synonyms users would actually say, hitting the comprehensive-synonyms anchor. It is not the anchor 4 case ('a few natural terms missing') because the term family for this domain is thoroughly enumerated; file extensions are irrelevant triggers for logo creation.

Distinctiveness Conflict Risk

Logo creation is a clear niche with distinctive triggers (favicon, emblem, brand mark), but terms like "icon" and "mascot" have minor overlap with general AI image-generation skills, matching anchor 4 ('mostly distinct; minor overlap risk with closely related skills'). It does not reach anchor 5 because the generic image-generation surface it sits on could plausibly claim the same requests; it is well above anchor 3 since the trigger vocabulary is domain-specific, not generic.