a0p-instancing

What problem does it solve?

This Skill provides a methodology for managing agents in the a0-betatest environment, addressing the need for CRUD operations on AgentInstances and CharacterSheets, and handling per-instance native ZFAE weight banks and their training/distillation loops.

Core Features & Use Cases

• Agent Instance & CharacterSheet CRUD: Offers a structured approach for creating, updating, and deleting agent instances and their associated character sheets.
• Native ZFAE Weight Bank Management: Supports the initialization, training, and persistence of native ZFAE weight banks for each agent.
• Inference Modes: Implements various inference modes including ZFAE_NATIVE, ZFAE_ASSISTED, and more, for different processing requirements.
• Sentinel & Override Gates: Includes functionality for sentinel evaluations and pending-override gates for operational governance.
• Checkpointing & Persistence: Offers mechanisms for checkpointing and persisting agent states to ensure data integrity.
• Use Case: For a developer working in a0-betatest, this Skill allows the creation of an AgentInstance, its CharacterSheet, training of its native ZFAE weight bank, and running inference in the desired mode while adhering to operational governance.

Quick Start

Use the a0p-instancing skill to create a new AgentInstance with a CharacterSheet and initialize its native ZFAE weight bank.