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 body provides concrete, actionable routing guidance with a clear workflow and decision gates, but it is heavily padded with redundant tables and filler sections and does not split its long content across reference files.
Suggestions
Merge the duplicate Agent Selection Matrix and Domain Detection Rules tables into a single keyword-to-agent reference to remove redundancy.
Delete or move the Performance Considerations, User Education, Testing the System, and Debugging Agent Selection sections, which are filler that does not earn its tokens.
Extract the lookup tables and test cases into a reference file and link to it from SKILL.md so the overview stays lean.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The ~330-line body is noticeably verbose with redundant material (two overlapping keyword-to-agent tables) and filler sections (Performance Considerations, User Education, Testing the System, Debugging Agent Selection) that could be trimmed, fitting the 2 anchor. | 2 / 5 |
Actionability | Concrete keyword-to-agent lookup tables, exact response-format templates, and explicit edge-case routing give mostly executable guidance; the pseudo-code is labeled as such but the actionable units are concrete, fitting the 4 anchor. | 4 / 5 |
Workflow Clarity | The analyze-detect-assess-select-respond sequence is clear with decision gates ('ASK FIRST', clarifying questions, override capability); this is not a destructive/batch operation so the validation cap does not apply, fitting the 4 anchor. | 4 / 5 |
Progressive Disclosure | Section headers provide some structure, but with no bundle files and a 330-line single document, tangential content (testing, debug, performance, education) is inlined and nothing is split into separate references, fitting the 3 anchor. | 3 / 5 |
Total | 13 / 20 Passed |