parallel

To coordinate parallel coding with autonomous agents, this skill orchestrates multi-agent task planning and dispatch across worktrees. It reads project context and configures per-feature task directories with PRDs and jsonl context files to launch isolated coding agents.

Orchestrating multiple worktree agents for cross-module integration requires an end-to-end multi-agent workflow with safety checks and logging. This skill coordinates context setup, agent bootstrapping, and scripted dispatch to ensure scalable coding workflows across isolated worktrees.

Yes, per-feature PRDs and jsonl context files are required to configure parallel agent tasks. The orchestration workflow reads these project context files to set up task directories, launch isolated coding agents, and provide accurate monitoring and logging.

You can use parallel worktree agents to scale independent coding workflows by dispatching isolated agents across multiple features. This enables faster delivery and better utilization of engineering bandwidth by allowing multiple independent features to progress simultaneously.

You should avoid multi-agent parallel development workflows when features are not independent, as this orchestration method is designed for parallelizing isolated tasks. It is best suited for cross-module integration and scalable coding workflows where features can progress without blocking each other.