Multi-Platform Ecosystem Architect

About

This skill empowers AI environments to act as versatile architects that can automatically detect, design, and deploy components tailored to specific AI CLI platforms. By analyzing platform-specific directories and conventions, it generates optimized resources—such as Claude Skills, Codex Commands, or Goose Modules—while managing unique resource constraints like token budgets and context windows. Whether you are building complex cross-platform workflows or migrating an existing setup between environments, this architect ensures consistency and interoperability across the entire AI ecosystem by mapping high-level requirements to platform-native implementations.

Key Features

• Dynamic mapping of automation requirements to platform-specific schemas and triggers
• Cross-platform migration patterns and interoperability strategies
• Tailored generation of production-ready components for Claude, Codex, Auggie, and more
• Automatic detection of platform-specific directories and command patterns
• 2 GitHub stars
• Resource-aware optimization for token-based, context-based, and memory-based models

Use Cases

• Developing a unified testing workflow that operates seamlessly across both Claude Code and Goose
• Designing a multi-platform documentation system that leverages the unique strengths of various AI CLI tools
• Migrating a complex automation setup from Claude Code to a Codex workspace configuration