Skill: Agent Orchestration
Define deterministic orchestration contracts for human and AI agents.
Goal
Support prompt-to-production workflows where agents can plan, act, verify, and request deployment intent while humans retain governance controls.
Contract model
- •Plan API: propose app blueprint and mutation plan.
- •Act API: apply bounded, policy-checked mutations.
- •Verify API: return machine-readable pass/fail evidence.
- •Deploy API: emit self-host or managed-service punchout intent.
Guardrails
- •Human approval hooks for privileged actions.
- •Idempotency and replay on mutation actions.
- •Tenant and policy boundaries on every action.
- •Decision traceability for post-incident review.
Integration target
This contract should be consumable by LangChain DeepAgents style orchestrators and OpenClaw-like execution loops without introducing nondeterministic side effects.
Output
- •Contract examples in docs and OpenAPI schema.
- •Security and governance requirements mapped to release tickets.