Skill Metadata Driven Progressive Disclosure And Context Loading

via “progressive context loading with anthropic agent skills protocol”

MS-Agent: a lightweight framework to empower agentic execution of complex tasks

Unique: Uses embedding-based semantic matching to dynamically select relevant skills rather than static configuration, enabling skill discovery to adapt to novel task types. Implements multi-phase loading where initial skills are loaded immediately and additional skills are discovered during execution.

vs others: More efficient than loading all tools upfront (typical in LangChain); more flexible than static tool selection; enables scaling to large tool libraries without proportional token overhead