Summary
This one helps you catch broken doc comments before your Dart package goes live on pub.dev. It walks you through enabling the comment_references lint and running dart doc with a temp directory so you can validate without cluttering your workspace. The main insight here is using dart doc as a validation tool, not just a generator. You'll catch unresolved references and undefined macros that would otherwise slip through. It's straightforward advice, nothing fancy, but if you've ever published a package and realized your docs were full of dead links, you'll appreciate the prevention step.
Install to Claude Code
npx -y skills add kevmoo/dash_skills --skill dart-doc-validation --agent claude-codeInstalls into .claude/skills of the current project.
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Files
SKILL.md
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Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
