Content
92%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a high-quality skill that is concise, actionable, and well-structured. It provides a clear four-phase workflow with an integrated before/after example that demonstrates the transformation convincingly. The main weakness is that the referenced supporting files (interactive-intake.md, ai-tells-and-patterns.md) are not available in the bundle, making it impossible to verify the progressive disclosure chain works end-to-end.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is lean and efficient throughout. It assumes Claude's competence, avoids explaining what AI tells are conceptually, and jumps straight into actionable rules and process. Every section earns its place — the example is illustrative without being padded, and anti-patterns are terse but valuable. | 3 / 3 |
Actionability | The skill provides concrete, specific guidance at every step: a clear phased process, specific categories to target (significance inflation, em dash pile-ups, chatbot artifacts), a full before/after example showing the transformation, and explicit anti-patterns. The references to hunt lists and intake rules delegate specifics appropriately. | 3 / 3 |
Workflow Clarity | The four-phase process (Intake → First rewrite → Audit pass → Deliver) is clearly sequenced with explicit validation: the audit pass serves as a verification checkpoint ('still sounds like a brochure?'), and the intake phase gates the entire rewrite. The file-editing workflow includes a confirmation step before destructive commands. The feedback loop of rewrite-then-audit is well-defined. | 3 / 3 |
Progressive Disclosure | The skill references two supporting files (interactive-intake.md and ai-tells-and-patterns.md) with clear one-level-deep links, which is good structure. However, no bundle files were provided, so we cannot verify these references resolve correctly. The main content is well-organized but the 'Working from files' section could arguably be a separate reference given it's a distinct workflow. | 2 / 3 |
Total | 11 / 12 Passed |