Content
78%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 lean, actionable, well-organized instruction-style skill body that trusts Claude's competence, uses concrete commands, and routes detail to real one-level-deep references. The main gaps are minor verbosity in the inline model-fetching command and key agent code being deferred to bundled docs.
Suggestions
Trim or factor out the long inline 'curl -s ... | jq' model-fetching pipeline into a reference file to improve conciseness, since it is verbose and time-sensitive (model IDs change).
Add a minimal executable ToolLoopAgent code skeleton inline so the primary agent-creation pattern does not depend on grepping bundled docs.
Close the typecheck-failure feedback loop explicitly (e.g., 'after fixing, re-run typecheck until it passes') to make error-recovery checkpoints explicit across all flows.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly lean and assumes Claude's competence ('Everything you know... is outdated'), but the lengthy inline curl/jq model-fetching command and slightly padded prerequisites add minor verbosity. | 4 / 5 |
Actionability | Concrete executable commands throughout (pnpm add ai, grep node_modules/ai/docs/, curl|jq pipeline, typecheck), with the minor gap that the core ToolLoopAgent code is deferred to docs rather than shown. | 4 / 5 |
Workflow Clarity | Clear sequenced workflows with validation checkpoints (typecheck after changes; 'When Typecheck Fails' fallback chain: grep common-errors -> search src/docs -> search web), with minor gaps in fully closed error-recovery loops. | 4 / 5 |
Progressive Disclosure | Body is a concise overview pointing via clearly-signaled markdown links to four real one-level-deep reference files (common-errors.md, ai-gateway.md, type-safe-agents.md, devtools.md), organized with a dedicated References section. | 5 / 5 |
Total | 17 / 20 Passed |