Team Topologies
Org design for fast flow: four team types, three interaction modes
Organize business and technology teams for fast flow using Matthew Skelton and Manuel Pais's Team Topologies. This skill equips your AI agent with the four fundamental team types, three interaction modes, cognitive load limits, and the inverse Conway maneuver for aligning team and software boundaries.
What your agent learns
Four Team Types
Stream-aligned, enabling, complicated-subsystem, and platform — every team reduces to one type, and stream-aligned is the default.
Three Interaction Modes
Collaboration, X-as-a-Service, and facilitating — declare one mode per team pair and evolve it deliberately.
Conway's Law
Organizations ship their communication structure — use the inverse Conway maneuver: shape teams so your target architecture becomes the natural outcome.
Team Cognitive Load
Size software to the team, never the reverse — one complicated domain per team, and split the software when it exceeds team capacity.
Platform as a Product
Run internal platforms with product discipline — optional adoption, user research, and success measured by cognitive load removed.
Try these with the skill installed
Classify our teams into the four types and flag the misfits using team-topologies skill
Org designPlan an inverse Conway maneuver for our target microservices architecture using team-topologies skill
Architecture alignmentAssess our platform team against platform-as-a-product principles using team-topologies skill
Platform reviewFind the fracture planes to split our monolith for team ownership using team-topologies skill
Monolith decompositionInstall Team Topologies
Free, open-source, and ready in 30 seconds.
npx skills add wondelai/skills/team-topologies MIT Licensed · Works with Claude Code, Cursor, Claude Cowork & OpenClaw · No account needed
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