Content
62%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill provides excellent actionable guidance with a well-structured multi-phase workflow, clear validation checkpoints, and a thorough worked example. However, it is significantly over-verbose — the philosophy section, install instructions, interoperability details, and pipeline position listing add substantial token cost without proportional value. The content would benefit greatly from aggressive trimming and moving secondary content to referenced files.
Suggestions
Remove the install instructions, philosophy preamble, and pipeline position listing from the skill body — these waste tokens on context Claude doesn't need during execution. Move them to a separate README or metadata file.
Trim the interoperability section to 2-3 bullet points or move it to a separate reference file; the detailed 'what this skill consumes/produces' breakdown is useful for humans but adds token overhead for Claude.
Provide the referenced `references/iterative-plan-refinement-prompts.md` as a bundle file, or remove the reference to avoid a dead link.
| 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 contains significant padding like the full pipeline position listing, interoperability sections, and install instructions that don't belong in the skill body. Much of this could be cut by 50%+ without losing actionable content. | 1 / 3 |
Actionability | The skill provides highly concrete, actionable guidance: specific question domains with examples, a clear plan template with required markdown sections, explicit handling for edge cases in a table, tool-specific instructions (AskUserQuestion vs chat fallback), file naming conventions (plan-NNN-<slug>.md), and a complete worked example showing the interview flow for OAuth authentication. | 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 stopping criteria, the fresh-eyes mandatory re-read step, and the planning depth calibration. Edge cases (contradictory requirements, interrupted sessions, user pivots) have explicit handling. The draft→refine loop includes feedback/retry logic. | 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 interoperability section, pipeline position, install instructions, and philosophy section could be in separate files. The required plan template is inline but appropriately so. | 2 / 3 |
Total | 9 / 12 Passed |