Advanced Stage

The advanced stage focuses on complex projects and capability reuse: not only completing tasks, but also turning context, expert experience, and collaboration methods into reusable engineering assets.

Learning sequence

1. Context Engineering: How AI Coding Agents Find Their Way Through a Large Codebase
2. From Prompt to Agent Skill: Package Expert Knowledge as a Reusable Capability
3. From Rules and Skills to Plugins: Engineering Composable Agent Capabilities
4. How to Break Down and Collaborate on Complex Tasks: The Multi-Agent Workflow for AI Coding
5. Multica in Practice: Turning Multi-Agent AI Coding into a Managed Team Workflow

Ability level

Context engineering → Single capability encapsulation → Capability combination → Complex task collaboration → Managed collaboration platform

Stage acceptance

• Ability to design dynamic, minimal and sufficient context for complex projects.
• Able to encapsulate repetitive work into skills with clear boundaries and verifiable performance.
• Able to determine the responsibility boundaries of Rules, Skills, MCP and Plugin.
• Able to design multi-Agent task division, handover agreement and final acceptance.
• Able to migrate an AGENTS.md + rules/skills workflow onto a multi-agent platform and set access and security boundaries for a team.