I built a Claude Code skill that assembles AI teams and runs them in parallel

You give it a problem. It builds a cross-functional team, assigns missions, and executes everything in dependency-based waves — using real parallel subagents. That is what Assemble does. Here is exactly what using it looks like. The problem it solves AI tasks are still mostly serial. Research, then spec, then plan. Each step waits for the last. But that is not how teams work — teams run in parallel, with dependencies managed by a coordinator. Assemble brings that model to Claude Code. You describe the problem. A Project Manager agent organizes teams, assigns missions, and runs waves of parallel subagents until everything is done. A full walkthrough Let us build a CLI tool that analyzes git history and outputs a developer personality report. Phase 1 — Intake You run /assemble . The PM asks 4 questions, one at a time: PM: What are we building or solving? > Build a CLI tool that analyzes git history and outputs a developer personality report. Should work on any public GitHub repo. PM: Wha