Project overview
This bilingual skill teaches engineers how to design the systems surrounding an AI model loop. Six chapters and eleven deep-dive references cover memory, skill loading, tools and permissions, context engineering, multi-agent coordination, and lifecycle design, with tradeoffs and common failure modes. The patterns were distilled from source-level analysis of the Claude Code runtime, but they are presented as runtime-agnostic principles for people building coding agents, plugins, or orchestration systems—not as a source mirror or a beginner user guide.
Repository facts
- Primary language
- Not detected
- License
- MIT
- Repository updated
- Jul 13, 2026
- Default branch
- main
Resource types
Learning resource
Use cases
AI and agent developmentSoftware development
Platforms
Claude CodeCodex
Runtime
Local
Audience
Developers