Overview, When to Use, and Examples repeat the same high-level description, and generic boilerplate sections (Best Practices, Prerequisites, Instructions, Output, Error Handling, Resources) add little — but it does not explain concepts Claude already knows, so it is above the score-1 verbosity anchor.

No executable code or concrete commands appear anywhere; phrases like "The skill will: Generate code to perform object detection" describe rather than instruct, matching the score-1 vague/abstract anchor.

"How It Works" lists a 3-step sequence (analyze request, generate code, execute via /process-vision) but provides no concrete commands or validation checkpoints, matching the score-2 anchor of steps present but checkpoints missing.

The body is organized into sections (not a monolithic wall), but real bundle files such as scripts/image_analyzer.py and the references/assets folders are never linked or signaled — the "Resources" section lists only "Project documentation / Related skills and commands" with no paths.

Lists three concrete actions — "object detection, classification, and segmentation" — matching the score-3 anchor of multiple specific concrete actions, not the score-2 anchor of naming only some actions.

Clearly answers both what ("Process images using object detection, classification, and segmentation") and when ("Use when requesting ..."), matching the score-3 anchor with explicit triggers rather than the score-2 anchor where when is only implied.

Explicit natural terms a user would say ("analyze image", "object detection", "image classification", "computer vision") give good coverage; the trailing "Trigger with relevant phrases based on skill purpose" is filler but does not undercut the explicit keywords.

The computer-vision niche with distinct CV-specific triggers is unlikely to fire for unrelated skills, matching the score-3 anchor rather than the score-2 anchor of overlap with similar skills.