planning▌

Persistent file-based planning system for organizing complex multi-step tasks and maintaining context across sessions. \n \n Creates three markdown files (task_plan.md, findings.md, progress.md) in your project directory to serve as persistent working memory \n Includes session recovery via script to sync context after /clear commands and resume interrupted work \n Enforces structured workflows: plan first, update after each phase, log all errors, and never repeat failed actions \n Provides temp

File-based task organization and progress tracking for complex multi-step projects. \n \n Creates and maintains three persistent markdown files (task_plan.md, findings.md, progress.md) to preserve context across sessions and tool calls \n Automatically detects active plans on startup and prompts context recovery; supports session restoration after /clear via catchup script \n Enforces structured workflow: plan phases upfront, log discoveries and errors immediately, update progress after each act

Structured task planning with user stories, sprint organization, and backlog prioritization for agile teams. \n \n Provides templates for writing INVEST-compliant user stories with acceptance criteria, technical notes, estimation, and dependencies \n Includes epic decomposition patterns breaking features into stories and granular tasks with time estimates \n Supports MoSCoW prioritization (Must/Should/Could/Won't Have) and sprint planning with capacity planning and Definition of Done checklists

像 Manus 一样工作：用持久化的 Markdown 文件作为你的「磁盘工作记忆」。

Cloud migration planning involves assessing current infrastructure, designing migration strategies, executing migrations with minimal downtime, and validating outcomes. Support lift-and-shift, replatforming, and refactoring approaches for smooth cloud adoption.

Agile sprint planning provides a structured approach to organize work into time-boxed iterations, enabling teams to deliver value incrementally while maintaining flexibility and responding to change.

Capacity planning ensures teams have sufficient resources to deliver work at sustainable pace, prevents burnout, and enables accurate commitment to stakeholders.