What it does
A set of Claude Code skills for multi-agent work, with an optional Python harness. It includes a task splitter, an output reconciler, an adversarial debate step, shared memory and an acceptance gate. A person approves or declines each result and decides what enters memory.
Use cases
- 01Split a feature into tasks that agents can run in parallel
- 02Compare two agent reviews through a structured debate
- 03Record a human approval before a result is accepted