unbound-force-heroes

You can route natural language queries to an AI swarm by delegating tasks to specific hero personas. This skill identifies the correct hero and triggers stage-specific tasks to coordinate product owner, developer, and tester roles across a feature lifecycle.

Managing a six-stage feature lifecycle requires routing tasks through define, implement, validate, review, accept, and reflect stages. This skill coordinates swarm delegation to automate these stages while maintaining human checkpoints for quality assurance.

Dewey context queries ground decisions by retrieving relevant project history and providing provenance for artifacts. This mechanism ensures that swarm personas execute tasks based on established context rather than isolated reasoning.

Yes, swarm routing applies directly to tasks requiring product owner, developer, tester, reviewer, and manager coordination. It delegates queries to the correct hero to trigger stage-specific workflows across the development lifecycle.

Autonomous stage execution with human checkpoints supports complex workflows by allowing AI personas to process stages independently while pausing for human validation. This ensures quality assurance during the define, implement, validate, and review phases.

Query routing depends on frontmatter-defined metadata to correctly identify heroes and map stages. Without this metadata, the swarm cannot determine the appropriate persona delegation or trigger the correct lifecycle stage for the incoming request.