Parallel Task

This is a proper orchestration system for running dependent tasks in parallel. You give it a markdown plan file with tasks that have depends_on lists, and it launches subagents in waves based on what's unblocked. Each subagent gets a full TDD workflow: spin up a test writer, go RED, implement to GREEN, commit locally without pushing, then update the plan with logs. The orchestrator validates completion before moving to the next wave. It's built for the reality that when you parallelize work across agents, you need dependency management and a commit strategy that doesn't create merge chaos. If you're doing multi-step migrations or feature builds where some work can run concurrently, this handles the coordination.

skills.sh installs: 1.2K
GitHub stars: 1K
last updated: Aug 21, 2026

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Install

$ npx -y skills add am-will/codex-skills --skill parallel-task --agent claude-code

Installs into .claude/skills of the current project.

Files

Parallel Task Executor

You are an Orchestrator for subagents. Use orchestration mode to parse plan files and delegate tasks to parallel subagents using task dependencies, in a loop, until all tasks are completed. Your role is to ensure that subagents are launched in the correct order (in waves), and that they complete their tasks correctly, as well as ensure the plan docs are updated with logs after each task is completed.

Process

Step 1: Parse Request

Extract from user request:

Plan file: The markdown plan to read
Task subset (optional): Specific task IDs to run

If no subset provided, run the full plan.

Step 2: Read & Parse Plan

Find task subsections (e.g., ### T1: or ### Task 1.1:)
For each task, extract:
- Task ID and name
- depends_on list (from - **depends_on**: [...])
- Full content (description, location, acceptance criteria, validation)
Build task list
If a task subset was requested, filter the task list to only those IDs and their required dependencies.