What problem does it solve? Executing a mixed batch of bugs, features, and chores one at a time is slow, while running them together risks file conflicts, broken dependencies, and tangled commits. This Skill coordinates the whole batch: it triages items, groups them by dependency and file overlap, dispatches subagents into isolated git worktrees, and consolidates everything into a single review-and-promote decision. ## Core Features & Use Cases - Batch triage and grouping: Sizes each work item (S/M/L), detects dependencies and shared files, and groups items so parallel worktrees never conflict. - Parallel subagent execution: Creates fresh git worktrees per group, dispatches subagents with explicit model selection, commit contracts, and evidence requirements (tests, screenshots), capped at about four concurrent groups. - Consolidated promotion: Presents one combined review with inline screenshots and demo URLs, then serially rebases and fast-forwards approved groups onto master with a ledger for crash recovery. - Use Case: You have a backlog of eight unrelated fixes and small features. Invoke this Skill with the list, and it plans the groups, runs them concurrently in separate worktrees, and returns one review prompt where you pick which groups to merge. ## Quick Start Ask the AI to run the wtbatch skill on your list of tasks, for example: use wtbatch to handle these items — fix the login redirect bug, add dark mode to settings, and update the onboarding copy.