Lists multiple specific concrete actions: creates/queries expertise profiles, increments file-familiarity counters, ranks candidate agents by recency and task-area match. These are precise, actionable capabilities.

Clearly answers both what (creates/queries profiles, increments counters, ranks agents) and when (explicit 'Use when' clause with four distinct trigger scenarios: deciding agent assignment, checking last worker, recording outcomes, assigning based on performance).

Includes natural trigger terms users would say: 'which agent should handle a file', 'who last worked on a module', 'assigning work', 'past performance', 'task outcomes', 'expertise profiles'. Good coverage of natural language variations for agent assignment scenarios.

Highly distinctive niche around agent expertise tracking and work assignment. References a specific file (AGENT-EXPERTISE.md) and domain-specific concepts like file-familiarity counters and agent ranking that are unlikely to overlap with other skills.

The content is lean and efficient. It uses tables for triggers, provides only necessary code examples, and doesn't explain concepts Claude already knows. Every section earns its place without padding.

Provides fully executable shell commands for querying, appending entries, and incrementing familiarity counters. The grep, printf, and awk commands are copy-paste ready with concrete examples of entry formats and prompt blocks.

The workflow section has a clear 3-step sequence (before delegating, after task, on failure) with explicit validation checkpoints at each step. The update triggers table provides unambiguous decision criteria, and the pruning section includes its own validation step.

The skill is well-structured with clear sections (Expertise File, Update Triggers, Retrieval & Delegation, Workflow, Pruning, Knowledge Graph) and appropriately references KNOWLEDGE-GRAPH.md for detailed entity types and queries rather than inlining that content. One level deep, clearly signaled.