pdd-task-manager

Organize and track granular PDD tasks with checkpoint-based recovery across multi-module workflows.

13|3|Updated Apr 7, 2026
One-click install
npx skills add https://github.com/wonderslife/pdd-skills-v3 --skill pdd-task-manager
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pdd-task-manager
Source: https://github.com/wonderslife/pdd-skills-v3/tree/main/skills/pr/pdd-task-manager
Command: npx skills add https://github.com/wonderslife/pdd-skills-v3 --skill pdd-task-manager

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

PDD任务管理技能提供细粒度的任务清单管理和断点续传能力。当用户需要继续中断任务或恢复执行进度时自动触发。支持中文触发:任务管理、断点续传、恢复进度、继续执行。

Core Features & Use Cases

  • 细粒度任务分层结构与状态跟踪,确保跨模块任务的完整性与可重试性。
  • 断点续传与多模块并行执行的恢复能力,提供稳定的恢复点与日志记录。
  • 与 pdd-main、pdd-template-engine 等技能协作,自动化从需求到实现的任务编排与执行。

Quick Start

在 PDD 流程启动时初始化任务清单并从最近的断点继续执行。

Frequently Asked Questions about pdd-task-manager

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

FAQPage Schema
How do I resume task execution from a checkpoint after an interruption in a multi-module workflow?

State persistence in task management works by continuously saving granular task statuses and dependencies. This ensures that cross-module workflows remain intact and automatically recoverable from the exact point of interruption.

Can I auto-create a task list at project start and track dependencies across modules?

Yes, you can auto-create a task list at project start. It organizes granular tasks into a hierarchical structure, tracking dependencies across multi-module workflows to ensure execution integrity and enable task retries.

What is the best way to manage state persistence and recovery for complex PDD workflows?

The best way to manage state persistence for PDD workflows is using a task manager that provides checkpointing, dependency tracking, and robust recovery capabilities, ensuring stable restoration points and execution logging across modules.

Does this task management approach support parallel execution recovery in a production-like environment?

Yes, this task management approach supports parallel execution recovery. It provides stable restoration points and logging specifically designed for robust recovery and multi-module parallel execution within production-like environments.

Why does my multi-module task execution fail to maintain integrity during retries?

Multi-module task execution fails during retries when lacking fine-grained task layering and state tracking. Implementing persistent checkpointing and dependency tracking ensures cross-module integrity and enables successful task retries.