MCP and team skills for AI coding workflows
How engineering teams use MCP servers, skills, and tool boundaries to connect AI coding workflows to the systems they already operate.
Integrations need ownership
MCP and skills make agents more capable, but also increase blast radius. Teams need a small number of approved integrations, clear permissions, and reviewable examples.
What belongs in a skill
Good skills encode stable team knowledge: API patterns, release workflows, test conventions, domain language, and known failure modes. They should not become secret stores or vague instruction dumps.
How to roll it out
We start with one or two high-frequency workflows, prove they reduce rework, then expand only where usage data and engineer feedback show repeatable value.
Related training topics
Bring this into your team
We tailor the training to your codebase, adoption stage, and review standards.
Get in touch