The body is padded with generic boilerplate that tells Claude nothing new: "The skill produces structured output relevant to the task", "Review the generated output", "Apply modifications as needed", and "Resources: Project documentation, Related skills and commands". Not 2 because the inefficiency is pervasive boilerplate rather than minor tightening; 1 is the scale minimum.

No executable code or commands appear anywhere; examples merely describe ("The skill will: 1. Generate code to load and preprocess movie rating data") and instructions are abstract ("Provide necessary context and parameters", "Review the generated output"). Not 2 because there is no pseudocode or partial concrete guidance — it is purely descriptive; for a code-generation skill the absence of any executable reference is penalized per the scoring notes.

Sequences are present ("How It Works" lists Analyzing Requirements -> Generating Code -> Implementing Best Practices), but there are no validation checkpoints or validate-fix-retry feedback loops for model training/evaluation. Not 3 because there are no explicit validation steps; not 1 because steps are clearly sequenced rather than missing. Capped at 2 per the feedback-loops note for batch/training operations.

Sections are organized, but the body never links the actual bundle files (scripts/build_collaborative_filtering.py, assets/configuration_template.yaml, etc.) and "Resources" is generic filler rather than signaled one-level-deep references. Not 3 because there are no well-signaled references to the real bundle; not 1 because it is sectioned, not a monolithic wall or nested references.

It names the domain and some actions ("construct recommendation systems using collaborative filtering, content-based filtering, or hybrid approaches" and "analyzes user preferences, item features, and interaction data to generate personalized recommendations"), but does not list multiple distinct concrete actions. Not 3 because there is no comprehensive list of concrete actions (cf. "extract text, fill forms, merge documents"); not 1 because it states concrete domain actions beyond "helps with documents".

The "what" is clearly stated (builds recommendation systems that analyze data to generate recommendations), but the "when" is only boilerplate ("Use when appropriate context detected") rather than an explicit trigger, so it does not clearly answer when. Not 3 because there is no explicit real trigger guidance; not 1 because the "what" is solid and a Use-when clause is present, even if weak.

Domain keywords like "recommendation systems" and "recommendations" are terms a user would say, but the explicit trigger is generic boilerplate ("Use when appropriate context detected. Trigger with relevant phrases based on skill purpose") with no concrete natural trigger phrases. Not 3 because there is no good coverage of natural trigger phrases; not 1 because some relevant domain keywords are present rather than pure technical jargon.

The recommendation-systems niche is fairly distinct ("collaborative filtering, content-based filtering, or hybrid approaches"), but the generic trigger boilerplate raises overlap risk with other ML/data skills. Not 3 because there are no distinct explicit triggers; not 1 because the domain niche is specific rather than "helps with code and documents".