Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-engineered meta-skill that expresses a multi-stage refactor state machine as a formal spec with explicit checkpoints, progressive reference loading, and precise exit conditions; it is lean, actionable for its routing purpose, and correctly splits detail into one-level-deep bundle files.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | A dense, information-rich spec expressed via Haskell type signatures and tables rather than prose; it assumes Claude can read the formal model and adds no concept explanations, so every token earns its place. | 3 / 3 |
Actionability | As a routing/state-machine skill it gives concrete, specific guidance — exact file paths, per-stage mode conditions, explicit checkpoint triggers, and precise exit predicates — and the formal Spec is the appropriate actionable artifact; the instruction-only carve-out applies since the guidance is complete, not missing key details. | 3 / 3 |
Workflow Clarity | The scan → select → design → confirm → apply → review sequence is clearly ordered with explicit validation checkpoints (HumanCheckpoint per stage), resume/recovery feedback loops, and concrete exit conditions (testsPassed, reviewPassed, finalValidationSettled). | 3 / 3 |
Progressive Disclosure | References are one level deep and clearly signaled (references/standard/protocol.md, references/fastforward/protocol.md, and a stageSupport mapping listing exact library files per stage); all referenced paths exist in the bundle, and progressive loading is explicit. | 3 / 3 |
Total | 12 / 12 Passed |