using-agent-skills

Task routing across AI agent skills is orchestrated by discovering the appropriate skill for the current task phase and activating it through a governed, auditable lifecycle. This coordinates sub-skills like idea-refine and incremental-implementation.

Agent skill discovery centralizes the selection of the correct skill based on task context and phase. It works by evaluating the current session state and routing the task to specialized sub-skills through a defined activation lifecycle.

Sequencing spec-driven development and planning-and-task-breakdown is handled by a governance layer that enforces proper skill activation order. It routes tasks through relevant sub-skills as needed to ensure consistent, repeatable execution.

Auditable controls and proper sequencing for AI agent skill activation are enforced by a dedicated governance layer. This layer coordinates multiple skills across task arrivals to provide safe, repeatable, and consistent skill execution.

Managing the entire skill lifecycle from idea refinement to shipping is best handled by orchestrating the discovery and activation flow across a session. It routes tasks through idea-refine, spec-driven-development, incremental-implementation, and shipping-and-launch skills.

A central coordination layer is needed to invoke the right agent skill for a task. It discovers the appropriate skill based on the current task context and phase, applying a defined lifecycle of discovery and activation to ensure correct routing.