Content
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
Highly actionable and token-efficient reference with executable code and tight rules. Weaker on workflow clarity (lacks explicit validation checkpoints as ordered steps) and progressive disclosure (no bundle files to offload the inline reference).
Suggestions
Frame the offline evolve pattern as numbered steps with an explicit validation checkpoint, e.g. 1) build program + metric, 2) await evolve, 3) inspect bestScore/playbook, 4) applyTo only when satisfied, 5) persist.
Move the generated multi-language API table and the detailed agent-bound evolve semantics into a separate reference file (e.g. references/agent-evolve.md) and link to it one level deep, keeping SKILL.md as an overview.
Add a short validate→fix→retry feedback loop note for the agent evolve verify gate so batch tuning failure recovery is explicit.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean rule lists and executable code assume Claude's competence without explaining what a playbook or library is; every section earns its tokens, including the compact multi-language table and See Also. | 3 / 3 |
Actionability | Offline, online, persist/restore, and agent patterns are all given as fully executable TypeScript with concrete method calls and option shapes, copy-paste ready. | 3 / 3 |
Workflow Clarity | Patterns are sequenced and troubleshooting gives error cues, but the main workflows are framed as reference snippets rather than ordered steps with explicit validate→fix→retry checkpoints; the agent evolve verify gate is described but not as a user-facing feedback loop. | 2 / 3 |
Progressive Disclosure | Sections are well organized and See Also points to sibling skills, but no bundle files exist and the body is a fairly long inline reference with no one-level-deep file references to offload detail. | 2 / 3 |
Total | 10 / 12 Passed |