Skill UI

This skill manages and stores approved team context securely using RuVector isolation. It ensures tenant-local data privacy by excluding sensitive credentials and personal information. During retrieval, it preserves provenance and treats data as untrusted. It prevents memory transfer between teams, maintaining strict security boundaries for AI team operations.

This skill validates Three.js graphics implementations using fixed-view visual contracts and diagnostics. It ensures reproducibility through seed sweeps, camera-scale tests, and temporal stability checks. It captures no-post baselines and GPU budgets to prevent regression in procedural scenes, evaluating the rendering mechanism rather than subjective screenshots.

A powerful tool for conversational time tracking. Users simply report time spent in plain language (e.g., "read papers 2h, gym 1h"), and the skill parses this into structured rows (Activity, Minutes, Date) within your Notion database. It ensures data integrity by flagging any uncertain details as 'To-confirm' rows and batch-asking questions, preventing data fabrication. Use it for logging daily activities or performing time reviews.

This skill performs a quick automated lint scan to detect common design system violations in seconds. It checks for hardcoded colors, raw pixel values, old width/height syntax, physical properties, forbidden colors, missing data-slots, and improper className usage. Ideal for running after every file change to maintain design consistency and prevent technical debt in UI development projects using design tokens.

This skill covers core principles for developing immersive VR and AR experiences. It includes platform selection guidelines for devices like Quest, PCVR, and ARKit. Key topics address user comfort to prevent motion sickness, performance metrics such as frame rates and budget, interaction design for controllers and hand tracking, and spatial design rules for world scale and depth cues. It also highlights common anti-patterns to avoid in production.

Manage ownership, retention, and cleanup of downloaded weather data across one-shot jobs, interactive viewers, caches, failures, and cancellation. This skill ensures temporary files are removed after use, interactive data persists until closed, and shared caches are protected. It covers Python implementation for safe file handling, atomic moves, and idempotent cleanup logic to prevent data leaks or corruption during processing.

A critical skill for reviewing WooCommerce extensions, payment integrations, and checkout logic before deployment. Ensures code follows security standards, HPOS compatibility, proper data handling, and runtime discipline to prevent systematic AI failures.

This skill enables users to create, maintain, and validate YYLO Ledger workflow records using the yy CLI. It emphasizes strict separation between storage, execution, and evidence boundaries to ensure safety and provenance. Users can search, retrieve, and update workflow definitions while preventing unauthorized execution or data mutation.

This skill enforces rigorous governance and discipline when AI modifies systems, debugs code, or makes root-cause claims. It mandates safety gates (e.g., backup, blast radius check), demands evidence for every diagnosis, and prevents common AI shortcuts like guessing or deflecting. Use this for critical code modifications, complex debugging, and high-stakes deployments to ensure thoroughness and safety.