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.
The body is highly actionable and excellently sequenced with validation feedback loops, making it strong on actionability and workflow clarity. Its main weakness is progressive disclosure: everything lives in one large inline file rather than being split into well-signaled companion reference files.
Suggestions
Externalize the lengthy 'Key Component Patterns' code blocks into separate reference files (e.g., references/auth-pattern.md, references/stripe-pattern.md) and point to them from a concise overview, improving progressive disclosure.
Convert the large inline file tree into a shorter structural summary in SKILL.md and move the full tree into a references/file-tree.md companion file.
Reduce overall length by trimming any patterns that closely mirror standard library usage Claude already knows, keeping only the non-obvious integration wiring.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Body is dense and action-focused (file tree, executable code, phase checklist) with little concept-padding Claude already knows, though the overall length could be trimmed by externalizing some code patterns. | 4 / 5 |
Actionability | Provides copy-paste-ready, fully executable code for the core cases (auth config, Drizzle schema, Stripe checkout route, middleware, .env template) plus a concrete file tree and itemized checklist. | 5 / 5 |
Workflow Clarity | Five ordered phases each carry explicit validation checkpoints ('Validate at the end of each phase before proceeding') plus failure-recovery feedback loops ('If build fails', 'If webhook signature fails'), satisfying the validation requirement for batch scaffolding. | 5 / 5 |
Progressive Disclosure | The skill is a single ~290-line monolithic SKILL.md with all code patterns and the file tree inlined; no bundle files exist, and the 'Reference Files' section describes output artifacts to generate rather than one-level-deep navigable references. | 3 / 5 |
Total | 17 / 20 Passed |