Content
62%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill provides excellent actionability and workflow clarity with a well-structured four-phase process, concrete examples, and explicit validation checkpoints. However, it is significantly over-verbose, spending tokens on philosophy, obvious anti-patterns, installation instructions, and interoperability details that don't help Claude execute the skill. The content would benefit from aggressive trimming and splitting supplementary material into referenced files.
Suggestions
Remove the Philosophy section, Install section, and pipeline position details — these don't help Claude execute the interview process and waste significant tokens.
Move the Interoperability section and the detailed Knowledge Map/Audit explanation into a separate reference file, keeping only a brief mention in the main skill.
Cut anti-patterns like 'Do NOT ask variations of the same question' and 'Do NOT make major assumptions without asking' — Claude already knows these are bad practices.
Reference `references/iterative-plan-refinement-prompts.md` but ensure the file actually exists in the bundle, or inline the essential prompts if the file doesn't exist.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | 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 understands (what a knowledge audit is, what anti-patterns are), and has significant redundancy. The install instructions, philosophy section, and detailed explanations of obvious agent behaviors (don't ask the same question twice, don't make assumptions) waste tokens. The interoperability section and pipeline position are largely irrelevant to executing the skill. | 1 / 3 |
Actionability | The skill provides highly concrete, executable guidance: specific tool usage (AskUserQuestion, TodoWrite), exact file naming conventions (docs/plans/plan-NNN-<slug>.md), a complete plan template with markdown structure, a detailed example interaction showing the full interview flow, and specific decision tables for edge cases. The guidance is copy-paste ready and leaves little ambiguity about what to do. | 3 / 3 |
Workflow Clarity | 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 stop conditions, the fresh-eyes mandatory re-read step, and the feature preservation verification. Edge cases (contradictory requirements, interrupted sessions, pivots) have explicit handling. The refinement loop has a clear feedback mechanism. | 3 / 3 |
Progressive Disclosure | The skill references `references/iterative-plan-refinement-prompts.md` for reusable prompt templates, which is good progressive disclosure, but no bundle files are provided to support this reference. The main content is monolithic — the entire interview process, plan generation, refinement loop, interoperability details, and examples are all inline in one large file. The interoperability section and pipeline position could be in a separate reference file. | 2 / 3 |
Total | 9 / 12 Passed |