What problem does it solve? Running multiple coding agents in the same directory causes build failures from shared obj/ directories, file-modification races, and test corruption from process-global state. This Skill gives each agent its own git worktree branched from origin/main, keeps the main checkout read-only, and integrates completed work through GitHub PRs. ## Core Features & Use Cases - Parallel agent isolation: Create N worktrees from origin/main (after fetching), dispatch agents with absolute worktree paths, and merge sequentially via draft PRs with admin bypass when CI limits block merging. - Blast-radius and dirty-file guards: PreToolUse hook scripts deny unscoped process kills (pkill, killall, shared-cache deletes) while multiple agent lanes are live, and warn when an edit targets a file dirty in another worktree. - Machine-load management: A run_suite.py wrapper applies macOS background QoS (taskpolicy -b) and computes a per-tool worker budget exported as AI_BADGER_TEST_WORKERS so parallel lanes do not oversubscribe the machine. - Use Case: You ask the agent to implement three GitHub issues at once. It creates three worktrees, dispatches three subagents in parallel, verifies builds and tests in each, opens draft PRs, merges them sequentially with rebases, and cleans up the worktrees. ## Quick Start Ask the agent to run these tasks in parallel using worktrees only, without touching the main checkout.