Rune — Less skills. Deeper connections. – A mesh ecosystem for AI coding assistants

Summary: Rune is a 58-skill mesh ecosystem designed to enhance AI coding assistants by ensuring consistency and context persistence across projects. It integrates with AI IDEs like Claude Code, Cursor, Windsurf, and Antigravity, using a hierarchical, resilient architecture to manage workflows and reduce failures.

What it does

Rune networks 55 skills bidirectionally in a mesh architecture to maintain task flow even if some skills fail. It organizes functions into five layers, from routing and workflows to utilities and domain-specific extensions, enabling multi-session phase-aware execution and cognitive bias detection.

Who it's for

It is intended for developers and teams using AI coding assistants who require reliable, context-aware automation in coding, refactoring, security scanning, and deployment workflows.

Why it matters

Rune addresses AI’s challenges with consistency and context persistence by enabling seamless task continuation across sessions and reducing failure points through its mesh design.