plan-tasks

Generates a dependency-aware execution plan with non-overlapping file assignments from a task list.

15|6|Updated May 7, 2026

Search Tags:#project-planning #parallel-execution #dependency-graph #code-ownership #task-partitioning #plan-tasks

Ready to run

npx skills add https://github.com/MinhThang1009/dotclaude --skill plan-tasks-minhthang1009

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: plan-tasks
Source: https://github.com/MinhThang1009/dotclaude/tree/main/plugins/subagent-system/skills/plan-tasks
Command: npx skills add https://github.com/MinhThang1009/dotclaude --skill plan-tasks-minhthang1009

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps you generate a dependency-aware, parallel execution plan from a task list by analyzing task relationships and assigning non-overlapping file ownership to tasks, enabling efficient collaboration and faster delivery.

Core Features & Use Cases

Identify task dependencies and partition tasks by module or directory to minimize ownership conflicts.
Group tasks into parallel execution batches separated by dependency barriers.
Output a clear plan including Task IDs, owned files, dependencies, and descriptions, plus a File Ownership Map and total task count.

Quick Start

Provide a task list (or reference a file) and prompt the agent to generate a dependency-ordered execution plan with non-overlapping file ownership.

Frequently Asked Questions about plan-tasks

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

FAQPage Schema

How do I create a dependency-aware execution plan for parallel tasks?▼

You can generate a dependency-aware execution plan by providing a task list, which the agent analyzes to group tasks into parallel execution batches separated by dependency barriers for optimized throughput.

How do I assign non-overlapping file ownership when partitioning tasks?▼

Assigning non-overlapping file ownership involves partitioning files per task by module or directory, producing a File Ownership Map that prevents conflicts and ensures clear code ownership during parallel execution.

What is a dependency graph in parallel task planning?▼

A dependency graph in parallel task planning maps task relationships to identify which tasks can execute concurrently once their dependencies are resolved, forming the basis for parallel execution batches.

Can I use this task partitioning approach for data pipelines and operations?▼

Yes, task partitioning applies to software projects, data pipelines, and operations where tasks can be executed in parallel once dependencies are resolved, ensuring efficient and conflict-free execution.

What does a parallel execution plan output look like?▼

A parallel execution plan outputs a markdown table containing Task ID, Files owned, Depends on, and Description, accompanied by a File Ownership Map and a total task count for clear tracking.

When should I not use dependency-based task partitioning?▼

Avoid dependency-based task partitioning for strictly sequential tasks with no parallelizable components, as generating dependency graphs and file ownership maps adds overhead without yielding execution speed benefits.