Moving from a single prompt to a complex multi-agent system introduces significant operational risk. This skill solves the “black box” orchestration problem by transforming your high-level system requirements into a deterministic, production-ready Mesh Flow guardrail topology.
Instead of relying on LLMs to “behave” via prompting, this tool generates hard-coded safety architectures. It classifies your agents’ authority, defines strictly typed verifier contracts, and maps out explicit recovery paths for when agents fail. It bridges the gap between a whiteboard architectural concept and a deployable execution plan.
Risk Classification: Automatically categorizes actions into observe-only, tool-write, or irreversible categories.
Topology Generation: Emits a project.yaml identifying exactly where hard gates and human-in-the-loop approvals must occur.
Contract Definition: Scripts technical verifier contracts that define pass/fail evidence requirements for every high-risk step.
Artifact Production: Delivers structured JSON for integrations, Markdown for compliance reviews, and YAML for Mesh Flow runners.
Prompting an AI to “follow safety rules” is unreliable. This skill provides a deterministic framework that forces your agents through a structured DAG (Directed Acyclic Graph) where safety is handled by the orchestration layer, not just the model’s instructions. It is essential for teams working in high-stakes environments like FinTech, Healthcare, or CRM automation where data integrity is non-negotiable.