fastmcp

To build cross-platform AI coding assistant skills, use a universal framework that deploys written skills to multiple environments without modification. This approach provides formal agents, multi-agent workflows, and runtime contracts for seamless compatibility.

Yes, you can use the same AI agent workflow in Cursor, Windsurf, and Copilot CLI. The framework ensures cross-platform compatibility for skills, bundles, and pipelines across these specific AI coding environments without requiring code changes.

The best way to organize domain-specific AI skills into kits is by using bundles. Bundles group related skills into domain-specific collections, such as Web Dev or DevOps kits, enabling structured management and deployment across different platforms.

You can create multi-agent workflows with guardrails by using a framework that supports formal agents and handoff protocols. This enables sophisticated pipeline construction with defined runtime contracts to control agent interactions and execution flow.

Yes, this universal AI skill framework supports runtime contracts. Runtime contracts are integrated directly into the framework to define execution boundaries and guardrails for formal agents, ensuring reliable multi-agent workflows and predictable behavior.

To initialize a new cross-platform AI skill project, use the framework's initialization command in your current directory. This sets up the necessary project structure to begin developing universal skills, agents, and pipelines for deployment across various platforms.