What problem does it solve? Go tutorial content stored in JSON can contain broken code examples, technical inaccuracies, and structural gaps that mislead learners. This Skill automates the review of tutorial sections by extracting every code example, compiling and running it (including race detection), checking technical accuracy against Go documentation, and applying fixes. ## Core Features & Use Cases - Code Verification: Extracts every code example from a section and validates it with go build, go run, and go run -race, comparing actual output to documented output. - Structured Quality Review: Checks structure, technical accuracy (including Go 1.22+ semantics), beginner-friendliness, style compliance, and JSON validity against detailed checklists. - Fix and Re-verify: Applies corrections to code, output blocks, and explanations directly in go.json, then re-runs verification to confirm the fixes. - Use Case: Ask to review the deadlocks section of the Go tutorial; the Skill extracts all examples, runs them with the race detector, reports issues by severity, fixes them, and confirms everything passes. ## Quick Start Ask the AI to review and fix the channels section of the Go tutorial in go.json.
