An example microservice using systemic, confabulous and prepper

A systemic UI design skill for Claude Code, Gemini CLI, and Google Antigravity

Platform agnostic classes and functions to communicate with Pixels dice.

Base types for storing raw animation data before sending to a Pixels die.

Connect to Pixels dice using Web Bluetooth.

Systemic component to use temporal mongodb server for testing

The Universal Coefficient of Systemic Friction.

Field-level encryption for PII at rest: AES-256-GCM with versioned key rotation, key namespaces, HMAC blind indexes for equality lookups on encrypted columns, and row helpers with systemic-failure detection. Zero dependencies, bring your own database.

Core classes and functions used throughout the TypeScript Pixels packages.

CSL style for Systemic Practice and Action Research

React hooks for Pixels.

React Native package for running DFUs on Nordic Semiconductor nRF5 devices.

Classes to help manipulating Pixels animations.

AI governance for systemic risk monitoring, financial stability oversight, and macro-prudential regulation. Covers central bank AI governance, stress testing, and financial system resilience requirements.

AI governance for frontier AI models, foundation models, and general-purpose AI systems. Covers systemic risk assessment, model evaluation, and frontier AI safety obligations under EU AI Act and international frameworks.

Vision Camera Frame Processor computing RGB averages.

Connect to Pixels dice using React Native.

React Native package adding support for Bluetooth LE.

Node client library for service discovery

Mesh and material to render a Pixels die with Three.js.