Skill UI

Fine-tune LLMs with TRL’s RLHF toolkit, covering SFT, DPO, PPO/GRPO and reward model training so you can align HuggingFace Transformers with human preferences or feedback in post-training workflows.

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.

A comprehensive guide to the Apple Human Interface Guidelines (HIG), detailing best practices for designing seamless and intuitive user experiences across various interaction scenarios. It covers key principles such as minimizing modality, providing clear feedback, handling data entry, progressive onboarding, and managing complex features like sharing and drag-and-drop, ensuring your application feels native and polished.

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.

This skill provides comprehensive management for annotation schemas (configs) and human review workflows (queues) within the Arize platform. It supports defining categorical, continuous, and freeform label types. Users can programmatically apply these annotations to project spans and datasets using the Python SDK, facilitating structured human feedback loops and improving model monitoring.

A comprehensive coach designed to elevate all aspects of human communication. This skill covers public speaking techniques, persuasive presentation design, impactful storytelling, active listening, and professional written communication (emails, reports). It emphasizes theory combined with mandatory, structured practice and actionable feedback, helping users navigate various contexts, from board pitches to difficult conversations, while accounting for cultural communication norms.

A human-in-the-loop studio for iteratively tuning AI outputs or reviewing complex media/prose. It allows users to directly manipulate visual parameters (color, typography, layout) or annotate documents in real-time, moving beyond static comparison grids or vague prompts. Perfect for designers and content creators who need hands-on, visual feedback.

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.

A dedicated canvas for reviewing plans and visual artifacts. It facilitates a tight review loop where human users can annotate specific elements, chat, and provide explicit verdicts (Approve/Request Changes) directly in a local browser environment. This tool is ideal for getting detailed, actionable feedback on designs, reports, or complex plans, moving beyond simple text confirmations.

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.