Content
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-structured, comprehensive Go documentation skill with strong actionability and excellent progressive disclosure. The 10-step workflow provides clear sequencing with a useful project-type detection gate. The main weaknesses are moderate verbosity in the writing principles section and some filler content that explains concepts Claude already understands, though overall token efficiency is reasonable for the breadth of coverage.
Suggestions
Trim the 'Writing Principles' section — Claude already knows not to use marketing language or hollow transitions; reduce to a concise bullet list of the Go-specific anti-patterns only.
Remove filler statements like 'a clear, well-structured documentation helps AI agents understand your project quickly' from Step 9 that add no actionable information.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is generally well-structured but includes some unnecessary verbosity — the 'Writing Principles' section explains concepts Claude already knows (what good documentation is), and some sections like 'AI-Friendly Documentation' contain filler statements ('a clear, well-structured documentation helps AI agents understand your project quickly'). The persona and modes preamble also adds tokens without much actionable value. | 2 / 3 |
Actionability | The skill provides concrete, executable guidance throughout: the CalculateDiscount doc comment example is complete and copy-paste ready, badge markdown is templated with placeholders, installation commands are specific, and the checklist table gives clear required/recommended guidance. Code examples are real Go code, not pseudocode. | 3 / 3 |
Workflow Clarity | The 10-step sequential workflow is clearly numbered and logically ordered (detect project type → checklist → doc comments → README → CONTRIBUTING/changelog → library-specific → application-specific → API → AI-friendly → delivery). Step 1 determines what subsequent steps apply, and the checklist in Step 2 provides a clear priority-ordered validation checkpoint. The parallelization guidance for sub-agents adds practical workflow structure. | 3 / 3 |
Progressive Disclosure | The skill effectively uses progressive disclosure with a clear overview in the main file and well-signaled one-level-deep references to specific files: code-comments.md, library.md, application.md, project-docs.md, and template files. Each reference is contextually placed at the relevant step with descriptive labels. However, since no bundle files were provided, we cannot verify these references exist, but the structure itself is exemplary. | 3 / 3 |
Total | 11 / 12 Passed |