Content
55%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill excels at actionability and workflow clarity — every decision point, state transition, and error case is precisely specified with concrete paths, commands, and branching logic. However, it is severely undermined by its length and lack of progressive disclosure: the preference lookup chain is duplicated verbatim, CHANGE_RECORD.json field specs belong in a template reference, and gate interaction patterns could be templated. The result is a skill that is correct and thorough but consumes far more tokens than necessary.
Suggestions
Extract the repeated two-tier preference lookup chain into a shared reference file (e.g., references/preference-lookup.md) and reference it from G3 and G4 instead of duplicating the full procedure.
Move the CHANGE_RECORD.json field-by-field population instructions to a reference file (e.g., references/change-record-generation.md) — the SKILL.md should just say 'Generate CHANGE_RECORD.json per references/change-record-generation.md'.
Create a gate interaction template reference that defines the standard pattern (AskUserQuestion → options → follow-up → preference write) once, then each gate can reference it with only the gate-specific options and preference key.
Compress the state detection table and gate descriptions to essential routing logic only — remove explanatory prose that restates what the table/options already convey.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | This skill is extremely verbose at ~350+ lines. It contains extensive procedural detail that could be dramatically compressed — the preference lookup chain is repeated nearly identically for G3 and G4, the CHANGE_RECORD.json generation section is overly detailed with field-by-field specifications that belong in a reference file, and many gate descriptions repeat patterns (AskUserQuestion, options, follow-up) that could be templated once. | 1 / 3 |
Actionability | The skill provides highly specific, concrete guidance at every decision point: exact artifact paths to check, precise routing logic, specific skill invocations with correct syntax, exact preference key names and file paths, and detailed branching conditions. Every gate has explicit options and outcomes. | 3 / 3 |
Workflow Clarity | The workflow is exceptionally well-sequenced with clear state detection (Step 1 table), numbered gates (G0-G5), explicit progress indicators at each stage, validation/preference checks before actions, error recovery paths, and feedback loops (e.g., review → NEEDS FIXES → re-review). The resume-from-state mechanism is thorough. | 3 / 3 |
Progressive Disclosure | This is a monolithic wall of text with no bundle files provided. The repeated preference lookup chains, the detailed CHANGE_RECORD.json field specifications, and the gate interaction patterns should all be extracted to reference files. The skill references external paths (preferences-schema.md, step-0-fast-path.md, templates) but keeps enormous amounts of procedural detail inline that should be in separate references. | 1 / 3 |
Total | 8 / 12 Passed |