Lists multiple specific concrete actions: 'structured interview process', 'gather requirements across technical constraints, scope boundaries, risk tolerance, and success criteria', and specifies it runs 'before any codebase exploration'. Also includes explicit exclusions (pure research, simple bug fixes).

Clearly answers both 'what' (structured interview to gather requirements across technical constraints, scope boundaries, risk tolerance, success criteria) and 'when' (explicit 'Use this skill when' clause with triggers, plus a 'Do NOT use' clause for negative triggers). Both are explicit and well-defined.

Includes the explicit trigger '/plan-interview' and natural terms like 'feature', 'spec planning', 'refactoring', 'implementation task', but relies heavily on a slash command rather than natural language terms users might say. Missing variations like 'requirements gathering', 'discovery', 'scoping', or 'interview questions'.

Highly distinctive due to the specific '/plan-interview' trigger, the structured interview process framing, and the explicit 'Do NOT use' exclusions that differentiate it from standard planning skills, research tasks, and bug fix workflows.

The skill is extremely verbose at ~300+ lines. It includes extensive philosophical preamble ('Make the change easy, then make the change'), explains concepts Claude already knows (what a knowledge audit is, what anti-patterns are), includes install instructions that aren't part of the skill's operational content, and has lengthy sections on pipeline interoperability that could be a simple reference link. Much of this could be cut by 50%+ without losing actionable guidance.

The skill provides highly concrete, actionable guidance: specific question domains with examples, a clear plan template with required markdown sections, explicit handling of edge cases in a table, a knowledge audit classification scheme, and a complete worked example showing the interview flow with realistic user responses. The guidance is specific enough to execute directly.

The four-phase workflow (Interview → Exploration → Plan Generation → Post-Approval) is clearly sequenced with explicit validation checkpoints: the knowledge audit between exploration and planning, the iterative refinement loop with clear stopping criteria, the fresh-eyes mandatory re-read step, and the resume support for interrupted sessions. Edge cases and feedback loops are well-defined.

The skill references external files (references/iterative-plan-refinement-prompts.md, context-surfing handoff files) which is good, but the main file itself is monolithic with too much inline content. The interoperability section, philosophy section, install instructions, and the detailed refinement prompts could be split into separate reference files. The structure within the file is decent with clear headers, but the sheer volume of inline content hurts discoverability.