Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body exemplifies progressive disclosure and actionability: a lean overview with a routing decision tree to real reference files, concrete executable commands, and clear linking workflows with explicit error-recovery guidance.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and operational — a quick start, a linking decision section, a decision tree, and anti-patterns — with no padding explaining what Vercel is or basic CLI concepts; every token earns its place. | 3 / 3 |
Actionability | It provides concrete, copy-paste-ready commands (`npm i -g vercel`, `vercel link --repo`, `vercel pull`, `vercel dev`, `vercel --prod`, `vercel curl`, `vercel api`) and a full executable quick-start sequence. | 3 / 3 |
Workflow Clarity | The linking section gives a clear project.json-vs-repo.json decision and an explicit error-recovery loop ("When something goes wrong, check how things are linked first... verify with `vercel whoami`"), and the anti-patterns act as a checklist for fragile operations. | 3 / 3 |
Progressive Disclosure | SKILL.md is a well-signaled overview with a decision tree routing to 16 one-level-deep reference files, all of which exist on disk; content is appropriately split and easy to navigate. | 3 / 3 |
Total | 12 / 12 Passed |