What problem does it solve?
This Skill manages token budgets, session state, and context window limits to ensure efficient and continuous operation of multi-agent AI systems, preventing performance degradation and data loss.
Core Features & Use Cases
- Token Budget Management: Allocates and monitors the 200K token context window, triggering optimizations and warnings.
- Session State Persistence: Saves and restores session state across interruptions or
/clear commands, allowing for resumable workflows.
- Multi-Agent Handoffs: Facilitates seamless context transfer between agents with validation and minimal token overhead.
- Progressive Disclosure: Loads context progressively based on relevance, optimizing memory usage.
- Use Case: In a long-running, multi-agent development project, this Skill ensures that critical context is preserved across agent handoffs and session resets, preventing the need to re-explain project status or re-load large codebases.
Quick Start
Use the moai-foundation-context skill to manage token budget and session state for long-running workflows.