Completeness Validator

Validate that work is truly complete - not superficially "done" but production-ready, wired-up, tested, and functional. This skill uses multilingual completion semantics to reinforce the distinction between partial implementation and actual completion.

When to use me

• When AI claims something is "complete" but you suspect it's only 99% done
• Before accepting "finished" code that may have mock data or unconnected systems
• When you need to verify all gaps are closed (specs, tests, wiring, integration)
• To prevent the "works on my machine" syndrome in AI-generated code
• When you want production-ready systems, not prototypes or samples

What I do