Context Loader
Manages tiered project context and token usage for efficient multi-agent workflows and session handoffs.
The Context Loader skill implements a sophisticated tiered management system to optimize how Claude handles large-scale project information. By categorizing data into metadata, active work, and on-demand references, it prevents context window saturation while maintaining deep project understanding. It is specifically designed for complex development environments where maintaining state across sessions and delegating tasks to subagents requires structured, compressed, and high-priority information loading.
Key Features
010 GitHub stars
02Automated session handoff and state restoration protocols
03Structured subagent context preparation and packaging
04Token budget management with 70% capacity compression triggers
05Tiered context loading (Metadata, Active Work, On-Demand)
06Multi-agent workflow orchestration via SESSION_HANDOFF.md
Use Cases
01Handing off complex task states between different AI agents or sessions
02Navigating large codebases that exceed standard LLM context limits
03Optimizing token usage during long-running development sprints