Content
81%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-structured, actionable skill body with clear sequencing, explicit validation, and feedback loops for a destructive file-writing task. The main gap is the absence of a concrete filled TOML override example to make composition fully copy-paste ready.
Suggestions
Add one short filled-in example override TOML (e.g., a bmad-agent-pm.user.toml with persistent_facts) under Step 4 so composition is concrete rather than described.
Trim the cross-cutting surface heuristics in Step 3 to the decision rule plus one example each, reducing token cost without losing the routing logic.
Consider extracting the merge-semantics table (scalars/append arrays/keyed arrays) into a short reference block or referenced file so the main flow reads faster.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Terse bullets and command blocks assume Claude's competence with little padding; a few explanatory passages (e.g., the cross-cutting heuristics) could be tightened but earn their place, sitting above 3 and just below 5. | 4 / 5 |
Actionability | Provides copy-paste-ready `uv run` commands and explicit merge semantics, but TOML composition lacks a filled-in example override showing a complete file, leaving a minor gap versus fully executable coverage. | 4 / 5 |
Workflow Clarity | Steps 1–6 are clearly sequenced with preflight checks, an explicit Step 6 verify via the resolver, and a feedback loop ("re-enter Step 4 with the verify output as context") for a file-writing operation — matching the 5 anchor. | 5 / 5 |
Progressive Disclosure | Well-organized sections with one-level-deep references to a real bundle script (list_customizable_skills.py) and an external guide; mostly inline process content is appropriate, but little is split across files, keeping it just below the 5 anchor. | 4 / 5 |
Total | 17 / 20 Passed |