Content
92%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a strong, well-structured skill that efficiently communicates a complex multi-agent task decomposition workflow. Its greatest strengths are the compact notation, concrete templates, and clear decision trees that make it immediately actionable. The only notable weakness is that all content lives in a single file without bundle support, though the content length is reasonable enough that this is a minor issue.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is lean and efficient throughout. It uses tables, compact notation (e.g., `TaskB → TaskA`), and terse examples rather than verbose explanations. No unnecessary preamble or concept explanations that Claude would already know. | 3 / 3 |
Actionability | Provides a complete, copy-paste-ready delegation spec template with all fields, concrete examples of strong vs weak prompts, a decision tree for delegation mechanism, and specific partition rules with exact paths. The guidance is immediately executable. | 3 / 3 |
Workflow Clarity | Multi-step processes are clearly sequenced: dependency resolution has an explicit algorithm (topological sort), phased delegation is laid out in a numbered table, the delegation mechanism uses a clear decision tree, and the Foundation-First Pattern specifies phase ordering with explicit dependency constraints. The 'common mistake' note serves as a validation checkpoint. | 3 / 3 |
Progressive Disclosure | The skill references external files (`.opencastle/LESSONS-LEARNED.md`, `project-consistency` skill) which is good, but all content is inline in a single file that's moderately long. The delegation spec template could potentially be split out. The reference to 'load project-consistency skill' is a good one-level-deep pointer, but there are no bundle files to support further disclosure. | 2 / 3 |
Total | 11 / 12 Passed |