using-supervibe-skills

Workflow orchestration for AI agent skill routing maps user intent to the correct skill chain across lifecycle stages while enforcing command ownership and evidence requirements. It prevents agents from improvising workflows by selecting the smallest safe execution path.

To stop AI agents from improvising code generation workflows, apply command-owner enforcement and evidence-first execution. This routes intent through predefined lifecycle stages and blocks execution with a clear result when required runtime receipts or CodeGraph validations are missing.

Confidence gating in agent planning enforces risk-aware stop conditions by keeping tests, validators, and reviewers at final gates. It requires runtime receipts and includes memory or CodeGraph validation when change risk is non-trivial, ensuring evidence-first execution.

You need runtime receipts for workflow orchestration whenever change risk is non-trivial. They serve as mandatory evidence-first validation, allowing the routing logic to verify lifecycle progression and output a structured skill-routing-plan before proceeding.

Yes, you can route tasks across idea, plan, graph, implementation, design, audit, and release lifecycles sequentially. The routing mechanism selects the smallest safe skill chain for each stage while honoring durable lifecycle commands and stop-condition handling.