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plan-to-task-list-with-dag

Decompose software features into structured tasks with DAG dependencies for parallel execution planning.

5|Updated Jun 22, 2026
Search Tags:#parallel execution#feature planning#task decomposition#code mapping#DAG generation
One-click install
npx skills add https://github.com/namanchopra/branchwater --skill plan-to-task-list-with-dag-namanchopra
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: plan-to-task-list-with-dag
Source: https://github.com/namanchopra/branchwater/tree/main/.claude/skills/plan-to-task-list-with-dag
Command: npx skills add https://github.com/namanchopra/branchwater --skill plan-to-task-list-with-dag-namanchopra

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps in planning complex features by breaking them down into manageable tasks and generating a Directed Acyclic Graph (DAG) for parallel execution, streamlining the development process.

Core Features & Use Cases

  • Feature Decomposition: Breaks down features into atomic tasks with dependencies and priority assignments.
  • DAG Generation: Produces machine-parseable task plans for parallel agent execution.
  • Use Case: When you have a large feature that needs to be implemented, this Skill helps you plan and prioritize tasks, ensuring efficient development and execution.

Quick Start

Use the plan-to-task-list-with-dag skill to generate a task plan for a feature. Start by identifying the scope and selecting the planning mode.

Frequently Asked Questions about plan-to-task-list-with-dag

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

FAQPage Schema
How do I decompose a large software feature into tasks for parallel execution?▼

To decompose features for parallel execution, break the feature down into atomic tasks and generate a Directed Acyclic Graph (DAG) to map their dependencies. This approach structures the development process and enables parallel agent execution.

What is a DAG and how does it help with task planning?▼

A Directed Acyclic Graph (DAG) maps task dependencies to visualize execution order without cycles. Generating a DAG for task planning produces machine-parseable plans that enable parallel execution of independent software development tasks.

How do I map dependencies when breaking down a complex codebase feature?▼

Dependency mapping requires exploring the codebase to identify structural constraints before assigning task priorities. Utilizing CodeMap for codebase exploration helps accurately map feature dependencies and generate a viable parallel execution plan.

Can I generate a machine-parseable task plan for parallel agent execution?▼

Yes, DAG generation produces machine-parseable task plans specifically designed for parallel agent execution. This requires confirming the feature scope and selecting a planning mode to structure the software task dependencies correctly.

What information do I need to provide before generating a task DAG?▼

Generating a task DAG requires specific user input for scope confirmation and mode selection. You must identify the feature boundaries and select the appropriate planning mode to handle scope challenges and prioritize tasks effectively.

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