Removes the hard-coded `model: "opus"` requirement from all agent
definitions, skill examples, and command documentation. The orchestrator
is now responsible for model selection, making the agent framework more
flexible and model-agnostic.
Key changes include:
- Removing the `model` parameter from all agent frontmatter and Task
tool examples.
- Deleting the "Model Requirement" hard gate and self-verification
sections from all agent prompts. This simplifies the prompts and
removes model-specific enforcement logic.
- Updating core documentation (ARCHITECTURE, MANUAL, README) to reflect
that model selection is an orchestrator concern.
- Removing redundant `changelog` and `last_updated` fields from agent
frontmatter, as this information is tracked by source control.
This architectural shift allows the orchestrator to dynamically choose
the best model for a given task based on complexity, cost, or speed,
without being constrained by the agent's definition. It simplifies
agent maintenance and prepares the system for easier integration of
future AI models.
