Content
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The content is highly actionable with executable templates and clear workflow guidance, and is well-organized for a self-contained skill. The main weakness is mild redundancy across the four near-identical example templates.
Suggestions
Consolidate the four overlapping code templates into one canonical example plus brief deltas for streaming, tool-calling, and structured output to reduce token redundancy.
If more detail grows, split the category/utility tables into a reference file and link to it from a concise overview to preserve progressive-disclosure benefits.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is well-organized with lean tables and avoids explaining concepts Claude already knows, but four near-identical code templates with repeated boilerplate add redundancy that could be tightened. | 2 / 3 |
Actionability | It provides fully executable TypeScript templates, concrete run commands ('pnpm tsx src/generate-text/openai.ts'), real file references, and copy-paste-ready naming patterns. | 3 / 3 |
Workflow Clarity | 'When to Write Examples' and 'Running Examples' give a clear, unambiguous sequence for this low-risk single-task workflow with no destructive steps requiring validation checkpoints. | 3 / 3 |
Progressive Disclosure | With no bundle files present, the content is appropriately organized into clear sections and tables with inline references to real repo paths, which suffices for a self-contained skill. | 3 / 3 |
Total | 11 / 12 Passed |