comment-enforcer

Automating Go comment enforcement involves scanning for missing, inconsistent, or poorly worded comments and using AI assistance to generate or refine them. This Skill integrates script-based checks and large-model semantic analysis to produce actionable guidance and ready-to-apply fixes.

AI semantic analysis for Go comments combines script-based format checks with large-model understanding to evaluate comment accuracy and consistency. It assesses missing or poorly worded comments and generates refined, ready-to-apply fixes for your codebase.

Yes, you can enforce consistent terminology across Go package comments by aligning global standard terminology to reduce ambiguity. The Skill scans for inconsistent terms and uses AI assistance to refine comments, ensuring consistency and quality across all packages.

Yes, this Skill supports automated repair of Go documentation by outputting actionable reports and executing ready-to-apply fixes after human confirmation. It scans for missing, inconsistent, or poorly worded comments and uses AI to generate or refine them for package-wide quality.

Ensuring Go comments use correct formatting and punctuation requires automated format checks that verify comment existence, position, and punctuation. This Skill scans for poorly worded or inconsistent comments and uses AI to refine them, ensuring consistency and quality across packages.

Yes, the anthropic dependency is required to run Go comments lint and repair. The Skill uses this large-model dependency for semantic analysis to evaluate comment accuracy and generate or refine missing comments, integrating script-based checks for format consistency.