Content
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is a well-sequenced, highly actionable multi-phase workflow with strong validation and feedback loops. Its weaknesses are emphatic redundancy that hurts token efficiency and a total absence of progressive disclosure — everything lives inline in one large file.
Suggestions
Move the large domain-to-agent table, the Phase 4 output template, and the review-log format into separate reference files and link to them, reducing SKILL.md to an overview.
Tighten redundant emphasis (e.g. collapse "MANDATORY... Do not skip it" and the CRITICAL subagent block to a single firm statement).
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Largely efficient and actionable, but contains emphatic redundancy — e.g. "This phase is MANDATORY in full mode. Do not skip it" and the multi-sentence CRITICAL block restating the subagent point several ways — that could be tightened; not a 1 because it does not pad with concepts Claude already knows, not a 3 because some tokens do not earn their place. | 2 / 3 |
Actionability | Provides a concrete section checklist, a domain-to-agent mapping table, named specialists, exact file paths (e.g. "design/gdd/reviews/[doc-name]-review-log.md"), and a copy-paste output template; not a 2 because guidance is complete and executable rather than pseudocode. | 3 / 3 |
Workflow Clarity | Phases 0–5 are clearly sequenced with explicit validation checkpoints (dependency-graph Glob check, prior-review check) and a feedback loop (re-review after revision); not a 2 because validation is explicit, and a checklist is present in Phase 2. | 3 / 3 |
Progressive Disclosure | Well-organized into phases but presented as a single 269-line monolithic file with no bundle/reference files (references/, scripts/, assets/ are empty) and inline content (the agent table, output template, review-log format) that could be split out; not a 1 because organization is good, not a 3 because no one-level-deep references are used. | 2 / 3 |
Total | 10 / 12 Passed |