Content
88%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.
A well-engineered orchestrator skill: fully actionable routing instructions, a clearly gated workflow with validation checkpoints and error-recovery loops, and no concept over-explanation. The main improvement areas are trimming the duplicated preference-lookup/write-back machinery across G3/G4 and moving the CHANGE_RECORD population spec out of the body.
Suggestions
Factor the two-tier preference lookup chain and the "remember this?" write-back logic, repeated nearly verbatim in G3 (pipeline.simplification) and G4 (pipeline.implementation-review), into one shared subsection or a reference file, parameterized by the preference key and the always/skip values.
Move the CHANGE_RECORD.json field-by-field population spec (Step 7) into a reference file next to the template (e.g., a change-record-guide.md), keeping only the thorough-tier detection conditions and the write path inline.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and imperative — it never explains concepts Claude already knows, and uses terse tables (state detection), exact option lists, and exact skill invocations. The main tightening opportunity is the near-verbatim duplication of the two-tier preference lookup chain and the "remember this?" write-back logic across G3 and G4 (~50 lines), plus the inline CHANGE_RECORD field-by-field spec; this is more than trivial but not pervasive padding, placing it at anchor 4 ('efficient; minor instances... that could be trimmed') rather than anchor 3 ('mostly efficient but includes some unnecessary explanation'). | 4 / 5 |
Actionability | Guidance is fully executable throughout: exact artifact paths ("SIMPLIFICATION_REPORT.json in <plans-dir>/<project>/reports/"), exact questions and option text for AskUserQuestion, exact invocations ("Skill: arn-code:arn-code-swift"), precise branch conditions ("If 3 or more phases OR 15 or more files touched"), and concrete file-write instructions for the preferences YAML. This matches anchor 5 ('fully executable... specific examples cover the common cases'); anchor 4 would require minor gaps in the concrete details, and none are evident. | 5 / 5 |
Workflow Clarity | The sequence is explicit and gated (Step 0 → 0.5 routing → state detection → G0/G2/G3/G4/G5 with swift and standard bypass paths), state detection is a validation checkpoint with first-match-wins ordering and resume points, and there are feedback loops (NEEDS FIXES → fixes handled internally → re-present gate; sub-skill failure → retry/skip/abort; start-fresh does not delete artifacts). This matches anchor 5; anchor 4's 'minor validation gaps' does not apply given the explicit checkpoints and error-recovery paths. | 5 / 5 |
Progressive Disclosure | Structure is good and navigable (Workflow with numbered steps, dedicated Swift Path, Standard Path, Sketch, Error Handling sections), and external references are clearly signaled with full paths ("${CLAUDE_PLUGIN_ROOT}/skills/arn-code-ensure-config/references/step-0-fast-path.md", preferences-schema.md). However, no bundle reference files exist for this skill, and content that could reasonably live in a reference file is inlined (the ~25-line CHANGE_RECORD.json field population spec and the duplicated preference machinery), which fits anchor 4 ('good structure; most content appropriately placed; minor organization gaps') rather than anchor 5 (well-signaled one-level-deep references, content appropriately split). | 4 / 5 |
Total | 18 / 20 Passed |