Skill UI

This guide details Apple's Human Interface Guidelines (HIG) for implementing crucial navigation components. It provides best practices for search fields (instant feedback, scoping), page controls (linear sequences), and path controls (file hierarchy/breadcrumbs). It helps developers ensure their application's UI feels native and intuitive across various Apple platforms (iOS, macOS, etc.).

A comprehensive guide detailing Apple's Human Interface Guidelines (HIG) for implementing essential UI status components. Covers best practices for progress indicators (determinate vs. indeterminate), status bars, and activity rings across iOS and watchOS. Essential for developers ensuring native, platform-compliant, and user-friendly status feedback.

Vibers provides a human code review workflow for AI-generated GitHub projects; add the collaborator, GitHub Action, and commit guidance to receive spec- and security-focused feedback plus follow-up PR fixes.

Rewrites overly formal or vague code review comments generated by AI or corporate tools. It cuts out filler phrases like "I noticed..." or "It might be worth considering...", transforming them into direct, actionable feedback. The output uses a clear format (Location: Severity: Observation. Fix.) that sounds like it came from a helpful, experienced teammate, significantly improving the quality and reception of PR feedback.

This skill processes public Shopify App Store reviews (especially low-star ones) to generate a structured, actionable brief. It categorizes feedback into incident risk, repeated friction, pricing confusion, and feature requests, providing a prioritized P0-P3 assessment for product and support teams. It ensures every piece of feedback maintains its public source link and labeling for human review.

This skill manages the human-in-the-loop verification phase of an agent workflow. It ensures that critical artifacts—such as plans, specifications, or migrations—receive mandatory, structured human sign-off before being considered complete or shipped. It collects severity-graded, machine-parseable feedback (e.g., BLOCKER, MAJOR) and acts as a strict gate, preventing completion until all objections are resolved and the review is formally signed off.