Skill UI

Design and review Haskell code: advanced type systems, pure domain logic, parsing with Megaparsec/Aeson, STM and async concurrency, Cabal/Stack builds, and measured performance tuning.

Guidance for designing system experience components per Apple Human Interface Guidelines: widgets, live activities, notifications, complications, home screen quick actions, top shelf, watch faces, app clips, and app shortcuts. Helps deliver glanceable, context-aware UI across platforms.

Core principles for designing user interfaces on Apple platforms. Covers accessibility, system colors, typography, motion, and privacy. Ensures consistency with Apple's design language across iOS, macOS, and visionOS.

This skill creates or updates a shared Apple design context document for other HIG skills. It auto-discovers project details from code and assets, then gathers information on product overview, platforms, technology stack, design system, accessibility, and user context. The output is a structured markdown file used to tailor subsequent design guidance.

This comprehensive guide outlines the principles and technical implementation for creating highly accessible, high-contrast user interfaces. It ensures WCAG AAA compliance by specifying pure black/white color pairings, clear boundaries, and legible typography across web (CSS), iOS (SwiftUI), and Android (Flutter) platforms. Ideal for applications requiring maximum legibility and stark visual impact.

idea-os is a comprehensive, five-phase pipeline designed to transform a raw, abstract idea into a fully structured, build-ready plan. It guides users through Triage, Clarification, Deep Research, detailed PRD creation (including non-goals and metrics), and finally, a phased execution plan. The system adapts its complexity and vocabulary to the user's sophistication level, providing everything from foundational market analysis to actionable technical stack recommendations.

Lambda is a compact, machine-native communication protocol specifically designed for agent-to-agent (A2A) messaging. It functions as a shared, unambiguous vocabulary built from 'atoms' (2-character codes), completely bypassing the need for human natural language interpretation. It is ideal for orchestrators, task delegation, and logging structured coordination signals (like heartbeats or state changes) in multi-agent systems. Crucially, Lambda is intended only for machine communication, not for user-facing dialogue.

A systematic, multi-phase workflow designed for diagnosing and resolving complex Linux system issues. It guides users through initial assessment, resource analysis (CPU, memory, disk), process investigation, log analysis, network diagnostics, and service failure resolution. Ideal for system administrators and DevOps engineers handling production incidents.

Loki Mode is a multi-agent autonomous startup system designed to execute workflows from PRD to production without human intervention. It integrates research-enhanced AI models including OpenAI SDK, DeepMind, Anthropic, and AWS Bedrock. This skill ensures zero human involvement in the deployment process while maintaining strict constraints on dependencies and response times.

Expert skill for Makepad UI layout system. Helps generate layout code, explain sizing/alignment concepts, configure Walk/Align/Fit/Fill properties, and solve positioning challenges for widgets in Makepad applications. Supports responsive design, centering, and container flow configuration.

A comprehensive design and implementation guide for achieving Controlled Maximalism. This style is ideal when the content is extremely dense, rich, and contains numerous elements, but requires an underlying highly structured, elegant, and curated presentation. Includes detailed CSS Grid, SwiftUI, Flutter, and React Native examples.

This skill provides methodologies for designing sophisticated, layered memory architectures for AI agents. It moves beyond simple context windows and basic vector stores by incorporating short-term, long-term, and graph-based memory systems. Implementing this is crucial for agents that require persistence across sessions, maintaining complex entity consistency, and performing advanced, relationship-driven reasoning over accumulated knowledge bases, including time-aware fact tracking.