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 clearly documents the PDCA methodology with well-structured phases and excellent examples showing iterative improvement cycles. Its main weakness is verbosity—three multi-cycle examples are redundant when the pattern is clear after the first. The skill is more of a thinking framework than executable guidance, which limits actionability, though the structured output format partially compensates.
Suggestions
Reduce to one detailed multi-cycle example and one single-cycle example; move additional examples to a separate EXAMPLES.md file to improve conciseness and progressive disclosure.
Add a brief output template/skeleton at the top of the Steps section so Claude can quickly reference the expected format without reading through full examples.
Consider adding concrete measurable prompts or checklists for each phase (e.g., 'Before moving to DO, confirm: baseline metric captured? success criteria numeric?') to increase actionability.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is quite long due to three detailed examples, each spanning multiple PDCA cycles. While the examples are illustrative, they are verbose and repetitive—the pattern is clear after the first example. The core steps section is reasonably concise, but the overall token cost is high for what is essentially a process template. | 2 / 3 |
Actionability | The skill provides a clear process framework with well-structured phases and concrete examples, but it's a methodology/thinking framework rather than executable code or commands. The examples show output format but there's no actual executable guidance—it's more of a template for structured thinking. References to other skills like `/why` and `/analyse-problem` add some actionability but are not self-contained. | 2 / 3 |
Workflow Clarity | The four-phase workflow is clearly sequenced with explicit validation in the CHECK phase and decision branching in the ACT phase (successful/unsuccessful/partially successful). The examples demonstrate feedback loops across multiple PDCA cycles, showing how failed or partial results feed into the next iteration. This is a strong workflow with clear checkpoints. | 3 / 3 |
Progressive Disclosure | All content is inline in a single monolithic file with no references to supporting documents. The three lengthy examples (each with multiple cycles) could be split into a separate EXAMPLES.md file. The main SKILL.md would benefit from keeping just one concise example and referencing additional ones externally. However, with no bundle files provided, there's nothing to split into, which partially explains the inline approach. | 2 / 3 |
Total | 9 / 12 Passed |