Conciseness

The body is fully operational — no explanation of concepts Claude already knows, no filler — and every section instructs rather than describes. It is not anchor 5 because several instructions repeat near-verbatim across sections: "do not auto-capture or scan the canvas for edit intent" appears in Preconditions, step 3, step 7, and Guardrails, and the never-replace/never-delete rules are stated three times; deliberate safety emphasis, but trimmable.

Actionability

Fully executable guidance: exact MCP tool names (`insert_cowart_image`, `save_cowart_canvas_state`), a copy-paste-ready JSON call shape with concrete values (placement "right", margin 40, matchAnchor true), precise placement arithmetic ("margin of about 40 canvas units", "keep moving right by anchor width + 40"), a timestamped filename example, an explicit output-resolution priority order, and fallback asset URL formats. Specific and complete for the common cases.

Workflow Clarity

The 8-step sequence is clearly ordered with explicit validation checkpoints and feedback loops: visually confirm the resolved bitmap is the newly generated image before inserting (step 5), verify the final canvas state after saving (step 8), ask the user when the screenshot is unusable or anchors are ambiguous (steps 3 and 6), and keep moving right on overlap (step 6). The operation is explicitly non-destructive by design, and ambiguity handling (contradictory annotations) is addressed.

Progressive Disclosure

No bundle files exist (references/, scripts/, assets/ are all absent) and the body is well-sectioned (Preconditions, Workflow, Guardrails) with a self-contained single-level structure — no nested references. Not anchor 5 because at ~160 lines some content that would sit better in a separate reference file is inlined, notably the full fallback-mode details (asset URL scheme, snapshot paths) and the complete MCP call shape.

Specificity

Lists several specific concrete actions — "Generate revised AI images from user-supplied Cowart annotation screenshots", "place each result beside its original", "without replacing, moving, hiding, or deleting existing images or annotations" — all stated in operational terms. It stops short of anchor 5 because coverage has minor gaps (e.g., extracting/reading the annotations themselves is a core capability only implied by "from ... screenshots").

Completeness

The "what" is clear and concrete (generate revised images from annotation screenshots and place them beside originals), but there is no "Use when..." clause or any equivalent explicit trigger guidance — the trigger must be inferred from the 'what'. Per the judging guidelines, a missing explicit trigger clause caps completeness at 3; not score 4 because the 'when' is not merely under-specified, it is absent.

Trigger Term Quality

Relevant natural keywords are present ("annotation screenshots", "revised AI images", "images", "annotations") but common variations and synonyms are missing — e.g. "edit", "mark up", "批注" (the term actually used in the workflow), or "before/after" phrasing a user might naturally say. This matches the anchor 'Some relevant keywords but missing common variations or synonyms' rather than anchor 4, whose good keyword coverage is not fully met.

Distinctiveness Conflict Risk

"Cowart annotation screenshots" carves out a clear niche with distinct triggers, and the non-destructive placement framing further distinguishes it from generic image-generation or canvas-editing skills. Conflict risk with other skills is minimal, matching the anchor 'Clear niche with distinct triggers; minimal conflict risk'.