Content
56%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The content is well-structured and actionable with real code and example outputs, but it is markedly verbose due to repeated restatements of the same process and explanations of concepts Claude already knows. Progressive disclosure is weak because everything lives in one large file with no reference split.
Suggestions
Collapse the duplicated workflow descriptions (Quick Start examples, Step-by-Step Process, Analysis Process phases, and Common Patterns) into a single canonical sequence to remove padding.
Move the fitness functions, per-language implementation notes, and detection code snippets into separate reference files (e.g. references/fitness-functions.js, references/detection-strategies.md) and link to them from SKILL.md to improve progressive disclosure.
Trim the 'Domain vs Infrastructure Functionality' and 'Notes' sections to only the non-obvious specifics, assuming Claude's existing knowledge of coupling and domain concepts.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The ~600-line body restates the same workflow three times ('Step-by-Step Process', the five 'Analysis Process' phases, and 'Common Patterns to Look For') and explains domain-vs-infrastructure concepts Claude already knows, producing several padded sections. | 2 / 5 |
Actionability | Provides concrete, executable JavaScript (extractLeafNode, groupByLeafNode, findSharedClasses, fitness-function checks) plus example output formats; minor gaps remain in the 'read source code of each component' steps which stay high-level. | 4 / 5 |
Workflow Clarity | A clear five-phase sequence (Identify Patterns -> Detect Shared Classes -> Analyze Similarity -> Assess Coupling -> Recommend) is paired with an end-of-process checklist serving as validation; minor verification gaps remain but the skill is analytical rather than destructive. | 4 / 5 |
Progressive Disclosure | Section headers give structure, but the entire skill is a single monolithic file with no bundle references; sizable chunks (fitness functions, per-language implementation notes, code snippets) that belong in separate reference files are inlined. | 3 / 5 |
Total | 13 / 20 Passed |