work

This Skill coordinates parallel git worktrees by provisioning deterministically named worktrees per tracker issue and assigning workers to deliver feature branches and PRs automatically. It uses issue body sections to guide branch creation and PR conventions while preserving a clean main branch.

The best way to automate pull request creation from a backlog is using backlog-aware batching and dependency ordering. The workflow discovers issues, names branches based on issue bodies, assigns workers, and generates review-ready PRs with optional draft modes.

Yes, you can execute a dry-run for parallel workflow automation before creating branches. The Skill includes a dry-run mode and configurable tests flags to validate planned issue discovery and worker assignment without making actual changes.

Dependency-aware planning for multi-agent execution works by respecting issue dependencies during backlog batching to maximize throughput. It orders eligible issues so workers only pick up tasks when dependencies are met, ensuring governed parallel implementation.

When parallel issue implementation encounters errors, failed worktrees are preserved for manual pickup. The Skill provides clear failure reporting instead of discarding the work, allowing developers to resume or fix the isolated branch manually.