Content
65%Weight 40%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The content is highly actionable with concrete multi-agent prompts and a clear phased structure, but it lacks validation checkpoints between phases and does not use progressive disclosure to split detailed per-platform guidance into references.
Suggestions
Add explicit validation/checkpoint steps between phases (e.g., 'Validate the API contract before starting parallel implementation' and 'Confirm feature parity before optimization') with feedback loops on failure.
Move detailed per-platform implementation prompts into separate reference files (e.g., references/web.md, references/ios.md) and keep SKILL.md as a concise overview with one-level-deep links.
Tighten the inline subagent prompts to reduce repetition of shared context that is already established in earlier phases.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient with concrete subagent prompts and no padding about concepts Claude already knows, but the long inline prompts could be tightened and some sections restate context unnecessarily. | 2 / 3 |
Actionability | It provides concrete, copy-paste-ready Task tool invocations with explicit subagent_type values and detailed prompt specifications for each phase and platform. | 3 / 3 |
Workflow Clarity | The phases are clearly sequenced (sequential design, parallel implementation, integration) but there are no explicit validation checkpoints or feedback loops between phases despite batch-style multi-agent operations. | 2 / 3 |
Progressive Disclosure | The skill is a single monolithic file with no bundle files or external references; it is section-organized but content that could be split (per-platform specs, prompts) is kept inline. | 2 / 3 |
Total | 9 / 12 Passed |