The description names a domain ('deepening opportunities in a codebase') and references specific inputs (CONTEXT.md, docs/adr/), but the core actions are somewhat abstract—'find deepening opportunities' is not a concrete, well-defined action like 'extract text' or 'fill forms'. The 'Use when' clause adds some specificity (improve architecture, find refactoring opportunities, consolidate modules), but these are more goals than discrete actions the skill performs.

Clearly answers both 'what' (find deepening opportunities informed by domain language and ADRs) and 'when' (explicit 'Use when' clause covering architecture improvement, refactoring, consolidation, and testability). The trigger guidance is explicit and actionable.

Includes several relevant keywords users might say: 'refactoring', 'architecture', 'tightly-coupled modules', 'testable'. However, 'deepening opportunities' and 'AI-navigable' are not natural terms users would typically use. Missing common variations like 'code quality', 'technical debt', 'code smell', 'decouple', or 'clean up code'.

The skill has some distinctive elements (references to CONTEXT.md, docs/adr/, 'deepening opportunities'), but terms like 'improve architecture' and 'refactoring opportunities' could overlap with general code review or refactoring skills. The concept of 'deepening' is somewhat niche but not universally understood, which could cause confusion rather than clarity.

The glossary section is somewhat verbose — Claude already understands concepts like interfaces, implementations, and adapters. However, the specific definitions (e.g., 'depth as leverage,' 'deletion test') add genuine value as project-specific vocabulary. Some tightening is possible (e.g., the 'Key principles' preamble, the explanatory sentence about domain models).

The skill provides a clear process with concrete steps (explore, present candidates, grilling loop) and specific heuristics (deletion test, shallow module detection). However, it lacks executable code examples, concrete output formats for the candidate list, or a worked example showing what a deepening opportunity looks like in practice. The guidance is specific but not copy-paste ready.

The three-phase workflow (Explore → Present candidates → Grilling loop) is clearly sequenced with explicit checkpoints: the user must choose a candidate before proceeding, side effects are enumerated with clear triggers, and there's a feedback loop in the grilling phase. The 'Do NOT propose interfaces yet' constraint is a well-placed gate. ADR conflict handling includes a clear decision rule.

Content is well-structured with clear references to supporting files (LANGUAGE.md, CONTEXT-FORMAT.md, ADR-FORMAT.md, INTERFACE-DESIGN.md) that are one level deep and clearly signaled. The SKILL.md serves as an overview with appropriate pointers. However, since no bundle files were provided, we can't verify the referenced files exist, but the structure itself is exemplary.