Content
77%Reviews 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 with concrete templates and a clear verification checklist, but it is a longish single-file monolith whose full boilerplate templates could be factored into reference files to improve token efficiency and navigation.
Suggestions
Move the full README, changelog, and OpenAPI templates into reference files and link to them from the body to reduce inline length and improve progressive disclosure.
Trim the longest templates in-body to minimal skeletons, keeping only the structural essentials and pointing to references for the rest.
Consider a short "Quick start" section up front that points to the most common task before the detailed sections.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body avoids explaining basic concepts and is well-structured, but at ~275 lines it embeds several full copy-paste templates (ADR, README, changelog, OpenAPI) that not every invocation needs and could be trimmed or split out. | 2 / 3 |
Actionability | Concrete, copy-paste-ready templates and code blocks (ADR-001 example, README structure, good/bad comment examples, OpenAPI snippet) give specific executable guidance throughout. | 3 / 3 |
Workflow Clarity | A "Verification" checklist provides explicit checkpoints, the ADR lifecycle is sequenced (PROPOSED → ACCEPTED → SUPERSEDED), and "When NOT to use" guidance bounds the workflow; documentation is low-risk so heavy feedback loops are not required. | 3 / 3 |
Progressive Disclosure | There are no bundle files and the skill is a single well-organized file with no nested references, but its length and the inline full templates (README, changelog, OpenAPI) are content that could be split into reference files for cleaner discovery. | 2 / 3 |
Total | 10 / 12 Passed |