Twinmist

Twinmist lists photos that UGREEN Photos filed under a child but that were taken before that child was born, so parents can fix sibling mix-ups.

A photo reliably dated before a child's birth cannot show that child. The Skill compares capture dates in each child's existing face group with birth dates the parent enters, then returns a review list and, with approval, a review album. The parent then corrects the faces in UGREEN Photos.

The full answers to the ten Round 1 questions are in the attached PDF proposal. The initial Skill package is the attached ZIP (SKILL.md plus three references).

AI use disclosure for Twinmist. I used AI tools throughout this entry and reviewed and edited everything they produced. Grok Bot agents (my assistant bots) searched user reports and the official rules, compared candidate topics, and drafted these ten answers. OpenAI Codex drafted the topic analysis, the first version of the answers, SKILL.md and its references, the simulated test data, the checker, and the PDF/ZIP build. Claude checked the draft against a fact sheet and gave a second opinion on scope. The core idea came from AI-assisted research; I chose the topic and the name Twinmist myself. The Skill itself adds no AI model; it uses UGREEN Photos' existing face recognition through the Uliya experts.