Content
83%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 is a tightly written, highly actionable orchestration guide: concrete commands with flags, a numbered activation flow with fallbacks, clear phase handoffs, and disciplined one-level-deep progressive disclosure to real bundle files. Its only soft spot is slightly lighter explicit validation/feedback-loop framing for risky operations, which keeps workflow clarity just short of perfect.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and directive with little concept padding — it assumes Claude's competence and avoids explaining brainstorming fundamentals — though a few sentences (e.g. the Overview's 'far more and far better ideas... no rush to finish') could be trimmed without losing instruction. | 4 / 5 |
Actionability | It supplies copy-paste-ready commands with exact flags and arguments (resolve_customization.py, memlog.py init/append/set, brain.py html/list) plus a ready spoken prompt to the user, covering the common session flows concretely. | 5 / 5 |
Workflow Clarity | Activation is a clearly numbered sequence with an explicit fallback ('On failure... use a subagent'), and phases (Run a Session → Choosing Techniques → Converging → Wrap-Up) are well sequenced with handoffs; however validation/checkpoint feedback loops are lighter than the rubric's 5-anchor expects, capping it at 4. | 4 / 5 |
Progressive Disclosure | SKILL.md is an overview that one-level-deep references real, well-signaled bundle files (references/mode-*.md, headless.md, converge.md, finalize.md, resume.md, in-chat-techniques.md) and scripts/assets; each is loaded only when its phase runs, and the referenced files all exist in the bundle. | 5 / 5 |
Total | 18 / 20 Passed |