Content
14%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill is a verbose, poorly organized collection of loosely related AI wrapper concepts that reads more like a blog post than actionable guidance. It suffers from significant redundancy, incomplete code examples, broken internal references, and lacks any coherent workflow or progressive disclosure structure. The content would benefit from dramatic trimming, completing code examples, establishing a clear build workflow, and splitting detailed patterns into referenced sub-files.
Suggestions
Remove the capabilities bullet list, role re-statement, and 'When to Use' tautology — these waste tokens without adding actionable value
Create a clear sequential workflow (e.g., 1. Design prompt templates → 2. Implement with validation → 3. Add cost tracking → 4. Set usage limits → 5. Test end-to-end) with explicit validation checkpoints at each stage
Fix broken Sharp Edges references — either create the referenced sections or link to separate files, and move detailed code examples into referenced sub-files for progressive disclosure
Complete all code examples with necessary imports and function definitions (e.g., parseOutput, getUserLimits, startOfMonth) so they are copy-paste executable
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Extremely verbose with significant redundancy. The role description is repeated from the frontmatter. Capability bullet lists add no value Claude doesn't already know. Anti-patterns use fragmented sentence style that wastes tokens while being less clear. The 'When to Use' section is a meaningless tautology. Model selection tables contain time-sensitive pricing data that will become stale. | 1 / 3 |
Actionability | Contains some executable code examples (API calls, cost tracking, prompt templates) which is good, but much of the content is conceptual rather than actionable. The architecture diagram is ASCII pseudocode, the Sharp Edges table references sections that don't exist (e.g., '## Controlling AI Costs'), and many code snippets are incomplete (missing imports, undefined functions like parseOutput, getUserLimits). | 2 / 3 |
Workflow Clarity | There is no clear multi-step workflow for building an AI wrapper product. The content presents disconnected patterns without sequencing them into a coherent process. No validation checkpoints exist for the overall product development flow. The basic implementation shows numbered steps within a single function but lacks error recovery or feedback loops for the broader workflow. | 1 / 3 |
Progressive Disclosure | Monolithic wall of text with everything inline. No references to external files for detailed content. The Sharp Edges table references section headers that don't exist in the document. The 'Related Skills' section mentions other skills but provides no links. All code examples, tables, and patterns are dumped into a single file with no navigation structure. | 1 / 3 |
Total | 5 / 12 Passed |