Conciseness

The body is short and free of concept explanations Claude already knows, but it is padded with redundancy: the intro sentence, 'When to use this Skill', and 'What this Skill contains' repeat nearly the same domain list three times, and the 'Authoring note' is meta-commentary that earns no tokens. This matches 'Mostly efficient but includes some unnecessary explanation or could be tightened'; not a 2 because no background concepts are explained and each section is individually brief.

Actionability

The body only describes what the skill covers ('Semantic extraction guidance for NER, relation extraction...', 'Deduplication support for duplicate detection...') and never instructs how to do anything — no code, no commands, no example workflows, and no pointers to actual reference files. This matches 'Entirely vague or abstract; no concrete code or commands; only describes rather than instructs'; it is not a 2 because even high-level executable hints (which tool, which script, which file to open) are absent.

Workflow Clarity

'How Claude should use this Skill' gives a rough 3-step sequence, but it is meta-process about loading the skill rather than about performing any graph task, and the steps are poorly defined ('choose the right workflow') with no validation checkpoints for risky batch operations like ingestion and duplicate merging. This matches 'Rough sequence present but many gaps; steps poorly defined; validation absent'; not a 1 because a numbered sequence does exist and is coherent.

Progressive Disclosure

The body is well organized into clearly labeled sections, and no bundle files exist (references/, scripts/, assets/ are absent), so the simple-skill exception applies; however, it repeatedly points to 'additional files or scripts' and 'extra reference files' that do not exist in the bundle, which is a minor organization gap. This matches 'Good structure; most content is appropriately placed; minor organization gaps'; not a 5 because the dangling references to nonexistent files undermine navigation.

Specificity

The description names the domain ("full-stack knowledge graph skill") and enumerates many sub-areas ("context graphs, decision intelligence, explainability, extraction, reasoning, visualization, ontology, provenance, policy, and export workflows") but contains almost no concrete actions — no verbs describing what it actually does (e.g., extract entities, ingest data, export to RDF). This matches the anchor 'Names the domain but actions are minimal or generic'; it is not a 1 because the domain list is specific, and not a 3 because no 1-2 concrete actions are explicitly stated.

Completeness

The 'what' is present but only as a domain enumeration rather than a statement of actions, and the 'when' is entirely absent — there is no 'Use when...' clause or equivalent trigger guidance, which caps completeness at 3 per the judging guidelines. It is not a 2 because the 'what' is reasonably clear (knowledge graph capabilities across listed areas).

Trigger Term Quality

Terms like "knowledge graph", "extraction", "reasoning", "provenance", "ontology", and "export" are phrases users would plausibly say, but common variations and synonyms are missing (e.g., triplets, SPARQL, entities/relations, graph database, .ttl/RDF files). This matches 'Some relevant keywords but missing common variations or synonyms'; not a 4 because coverage lacks natural synonyms and file extensions.

Distinctiveness Conflict Risk

The named "Semantica" product and the knowledge-graph niche give it a clear identity with mostly distinct triggers, though broadly stated areas like "visualization" and "export workflows" could overlap with generic graph-visualization or data-export skills. This matches 'Mostly distinct; minor overlap risk with closely related skills'; not a 5 because terms like "visualization" and "export" are not uniquely Semantica.