Content
82%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is highly actionable and well-structured, providing concrete per-question-type templates, length calibration, and worked good/bad examples that Claude could not derive on its own. The main gaps are minor redundancy in length guidance and the absence of an explicit answer-validation feedback loop.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is directive and earns most of its tokens with task-specific formats, word counts, and anti-patterns Claude would not already know; minor redundancy between the per-type length rules and the Length Calibration table keeps it just below fully lean. | 4 / 5 |
Actionability | Each question type ships a concrete fill-in template, explicit rules, word-count targets, and worked ❌/✅ examples, with a copy-paste code-block output format — fully actionable guidance for an instruction-only skill. | 5 / 5 |
Workflow Clarity | 'Before Answering' gives a clear gather-inputs sequence with an explicit checkpoint ('If the user hasn't provided a CV or JD, ask for them before writing') and the Output Format is unambiguous, but there is no validation/feedback loop on the produced answer, so it stops short of the explicit-recovery level. | 4 / 5 |
Progressive Disclosure | No bundle files exist; the skill is a single well-sectioned SKILL.md (When to Use, Before Answering, seven typed question sections, Output Format, Length Calibration, Common Mistakes) with clear headers and easy navigation, so it lands at 'good structure' rather than the 5 that requires well-signaled one-level-deep references. | 4 / 5 |
Total | 17 / 20 Passed |