Conciseness

The body is dense with executable code and does not explain concepts Claude already knows, but the 'Overview' paragraph duplicates the frontmatter description, the 9-bullet 'When to Use This Skill' section restates the same scope, and the Resources section re-describes files already pointed to inline — matching 'mostly efficient but includes some unnecessary explanation or could be tightened' (anchor 3). Not 4 because the duplication is noticeable across three sections rather than minor instances.

Actionability

Most workflows give copy-paste-ready code with real imports and parameters (GA on rastrigin, NSGA-II on zdt1, NSGA-III with reference directions, pseudo-weight MCDM), each pointing to a complete runnable script. Anchor 4 rather than 5 because a few snippets are not executable as-is: the constrained example uses undefined 'f1, f2, g1, g2, h1', and Workflow 5 references undefined 'problem', 'termination', and bare 'np'.

Workflow Clarity

Each of the seven workflows has numbered steps, an explicit 'When:' condition, and algorithm-choice guidance, and the troubleshooting section gives problem→fix feedback ('Algorithm not converging → increase population size...'). Not anchor 5 because workflows lack explicit verification checkpoints (e.g., checking result.F/CV after a run); not 3 since sequencing is coherent and error-recovery guidance exists.

Progressive Disclosure

The body stays an overview with quick inline examples while the bulk lives in five real, well-organized reference files (verified to exist: algorithms.md 180 lines, problems.md 265, operators.md 345, visualization.md 353, constraints_mcdm.md 417) and five executable scripts, all one level deep with 'See:' pointers and a grep-based search guide. It falls short of 5 because the ~560-line body duplicates reference material (algorithm selection tables, benchmark quick-access, operator lists) that could live entirely in the references.

Specificity

The description lists several concrete capabilities — 'NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ)' — matching the anchor 'lists several specific actions; minor gaps in coverage'. It falls short of 5 because capabilities like visualization, custom problem definition, and decision making are omitted, and capabilities are named as noun phrases rather than actions.

Completeness

The 'what' is clear (a multi-objective optimization framework with named algorithms, benchmarks, and constraint handling), but there is no explicit 'Use when...' trigger; the trailing 'for engineering design and optimization problems' only weakly implies when to use it. Per the guideline that a missing explicit 'Use when' clause caps completeness at 3, and it is not the vague-what-plus-no-when of anchor 2.

Trigger Term Quality

Strong natural keywords users would say: 'multi-objective optimization', 'Pareto fronts', 'NSGA-II', 'constraint handling', 'engineering design'. A few common variations are missing ('evolutionary algorithms', 'genetic algorithms', 'trade-off analysis'), so it fits anchor 4 ('good keyword coverage; a few natural terms missing') rather than the comprehensive synonym/extension coverage of anchor 5.

Distinctiveness Conflict Risk

Named algorithms (NSGA-II/III, MOEA/D) and benchmarks (ZDT, DTLZ) carve a clear niche with minimal conflict risk, but the generic tail 'engineering design and optimization problems' could overlap with general optimization/scipy-style skills — 'mostly distinct; minor overlap risk' fits anchor 4 better than the fully distinct anchor 5.