May 2026 focused on delivering a targeted enhancement to the Interview-Me skill within the addyosmani/agent-skills repository. The primary feature delivered was the ability to append a brief reason to low-confidence numbers, clarifying what information is still needed to improve confidence. This improvement supports clearer communication with users and accelerates triage for data gaps. Major bugs fixed: None logged this month. The work prioritized feature delivery and stability to ensure safe rollout of the new confidence-annotation capability. Overall impact and accomplishments: Enhanced user transparency around low-confidence outputs, enabling better decision-making and faster follow-up actions. The feature lays groundwork for iterative improvements to confidence annotations and data collection in future sprints. Technologies/skills demonstrated: JavaScript/TypeScript development in a production Skill repo; commit-level traceability; feature-focused development; code review and integration with the Interview-Me skill; adherence to repository conventions in addyosmani/agent-skills.