Content
72%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-structured, concise skill that clearly communicates formatting and language constraints for prompt engineering. Its main weakness is the lack of concrete input/output examples showing a transformation, which would significantly improve actionability. The workflow steps are also somewhat generic and could benefit from explicit quality criteria or a validation step.
Suggestions
Add 1-2 concrete before/after examples showing a user request transformed into a promptified output to demonstrate the expected transformation quality and style.
Add explicit quality criteria or a brief checklist for self-validation before outputting (e.g., 'Verify: no invented information, length within 0.75X-1.5X, all formatting rules followed').
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is lean and efficient. Every section serves a purpose, there's no explanation of what prompts are or how AI models work, and it respects Claude's intelligence throughout. | 3 / 3 |
Actionability | The guidelines are specific (formatting rules, length ratio, language style) but lack concrete examples of input/output transformations. A before/after example of a promptified request would make this fully actionable. | 2 / 3 |
Workflow Clarity | The 3-step process is listed but is fairly generic (read, plan, rewrite). There are no validation checkpoints or criteria for evaluating whether the rewritten prompt meets quality standards before outputting. | 2 / 3 |
Progressive Disclosure | For a simple, single-purpose skill under 50 lines, the content is well-organized with clear sections (Core Task, Process, Writing Guidelines with subsections, Output). No external references are needed and the structure is easy to navigate. | 3 / 3 |
Total | 10 / 12 Passed |