What problem does it solve? Long-running or context-heavy tasks consume the main AI session's context window and budget. This Skill offloads work to detached headless pi subagents running in tmux, each with fresh context and a cheap model, so the parent session stays lean while parallel work proceeds. ## Core Features & Use Cases - Parallel fanout: Spawn multiple children at once (e.g., separate correctness and test reviewers), then wait and collect each output file. - Role-based model selection: Pick the cheapest model per role, from lightweight recon to implementation, review, research, and ops work. - Lifecycle management: List, wait, peek, resume, kill, and clean child runs, with session scoping so each pi session only sees its own children. - Use Case: While refactoring a codebase, spawn a read-only reviewer child to audit the auth flow and a research child to investigate a library, continue your own edits, then read both outputs when the monitor reports completion. ## Quick Start Ask the agent to spawn a subagent that maps the authentication flow in this repository and report back the key files with a short summary.