Content
85%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 operational skill with executable commands, sequenced workflows, strong validation checkpoints, and explicit recovery guidance for destructive operations. Its main defects are broken bundle references (referenced files and scripts are absent) and some redundancy between the Overview and checklist sections.
Suggestions
Include the referenced files in the bundle (references/port-allocation-strategy.md, references/docker-compose-patterns.md, scripts/worktree_manager.py, scripts/worktree_cleanup.py, README.md) or inline their essential content so the one-level-deep reference structure actually resolves.
Merge the Validation Checklist with the Operational Checklist's After Creation section to remove overlapping verification items and tighten the body.
Drop the Overview paragraph that restates the frontmatter description verbatim and keep only the multi-agent ownership note that adds new information.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes Claude's competence — no tutorial explanation of what worktrees are — with every section carrying operational content. It could be tightened: the Overview repeats the frontmatter description nearly verbatim, and the Validation Checklist overlaps the Operational Checklist's After Creation items. Efficient with minor trimmable redundancy, matching the 4 anchor rather than the fully lean 5. | 4 / 5 |
Actionability | Commands are copy-paste ready and complete, e.g. 'python scripts/worktree_manager.py --repo . --branch feature/new-auth --name wt-auth --base-branch main --install-deps --format text' and both stdin and '--input file' JSON variants, plus concrete cleanup invocations with flags. Specific examples cover the creation, parallel-run, and cleanup cases. | 5 / 5 |
Workflow Clarity | Multi-step workflows are numbered and paired with explicit validation checkpoints ('Validation Checklist', 'Before Creation / After Creation / Before Removal') and a Failure Recovery section giving feedback loops (e.g. 'If port allocation collides with external service: rerun with adjusted base ports'). The destructive cleanup workflow is guarded by dirty-state and merged-branch checks with a 'remove only merged + clean' rule and a never-force-dirty caveat, so the destructive-operation cap does not apply. | 5 / 5 |
Progressive Disclosure | References are clearly signaled and one level deep ('See [port-allocation-strategy.md](references/port-allocation-strategy.md) for the full strategy and edge cases'), but none of the referenced files — references/*.md, scripts/worktree_manager.py, scripts/worktree_cleanup.py, or README.md — exist in the bundle, so the promised navigation is broken. Not 4, because the split depends on files that are missing; not 2, because the in-body structure and reference signaling are genuinely good. | 3 / 5 |
Total | 17 / 20 Passed |