parallel

Orchestrate parallel development tasks across isolated worktree agents.

Updated Apr 13, 2026
One-click install
npx skills add https://github.com/MaplumeX/deepresearch --skill parallel-maplumex
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: parallel
Source: https://github.com/MaplumeX/deepresearch/tree/main/.codex/skills/parallel
Command: npx skills add https://github.com/MaplumeX/deepresearch --skill parallel-maplumex

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It coordinates and dispatches multiple isolated coding agents to run parallel development tasks so teams can implement independent features concurrently without manual context setup or branching friction.

Core Features & Use Cases

  • Planning and Validation: Runs a plan phase to analyze requirements, validate scope, and generate PRDs and acceptance criteria.
  • Context Configuration: Prepares task directories with jsonl context files, branch settings, and scoped file lists for each worktree agent.
  • Dispatch and Monitoring: Launches worktree agents, provides status and log monitoring, and offers cleanup utilities for completed branches.
  • Use Case: Split a cross-module feature into three focused tasks, automatically create task directories with PRDs, and run three isolated agents to implement, check, and create PRs in parallel.

Quick Start

Start a parallel pipeline to implement the requested feature by describing the feature, target modules, and development type so the orchestrator can plan, create task directories, and launch worktree agents.

Frequently Asked Questions about parallel

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run parallel coding agents to develop independent features concurrently?

To run parallel coding agents, use an orchestration pipeline that dispatches isolated worktree agents to implement independent features concurrently. It automatically configures task directories with PRDs and jsonl context files before launching the concurrent execution.

What is worktree orchestration for multi-agent coding pipelines?

Worktree orchestration coordinates multiple isolated coding agents by applying planned requirements, validating scope, and generating PRDs. It configures branch settings and scoped file lists so each worktree agent receives specific contextual configuration for parallel execution.

How do I split a cross-module feature into parallel tasks for multiple agents?

You split a cross-module feature by running a plan phase that analyzes requirements and generates acceptance criteria. The orchestrator then creates focused task directories with jsonl context files and launches isolated worktree agents to implement, check, and create PRs in parallel.

Do I need Trellis tools to use worktree agent orchestration?

Worktree agent orchestration exposes monitoring and cleanup scripts integrated with the repository's Trellis tools. You need a compatible multi-agent coding environment to validate requirements and manage the isolated branches effectively.

Can I monitor status and cleanup completed branches after dispatching worktree agents?

Yes, after dispatching worktree agents, the orchestration pipeline provides status and log monitoring utilities alongside cleanup scripts for completed branches. This ensures you can track concurrent feature development and manage repository hygiene.