devloop:plan

Automate GitHub sprint planning by triaging backlog issues and authoring tasks.

Updated Jul 6, 2026
One-click install
npx skills add https://github.com/duongtdn/devloop --skill devloop-plan
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: devloop:plan
Source: https://github.com/duongtdn/devloop/tree/main/skills/plan
Command: npx skills add https://github.com/duongtdn/devloop --skill devloop-plan

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill solves the disconnect between high-level project roadmaps and daily execution by automating the triage, scoping, and task-creation process for GitHub-based sprints.

Core Features & Use Cases

  • Sprint Lifecycle Management: Automatically creates GitHub milestones, defines sprint goals, and generates sprint tracking files.
  • Intelligent Triage: Uses sub-agents to classify backlog items against sprint goals, ensuring only relevant work is prioritized.
  • Gap-Fill Authoring: Identifies missing work required to meet a goal and authors new tasks under an architect's design lens.
  • Use Case: A team can use this to transition from a broad project vision to a concrete, ordered list of GitHub issues with defined acceptance criteria and a clear Definition of Done in minutes.

Quick Start

Run the devloop plan skill to initialize the next sprint iteration based on your current master plan and backlog.

Frequently Asked Questions about devloop:plan

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

FAQPage Schema
Why does my automated sprint planning fail to enforce a project-specific definition of done?

Automated sprint planning may fail to enforce a definition of done if GitHub MCP integration is missing. This integration is strictly required to validate repositories, manage issues, and enforce project-specific definitions of done throughout the sprint lifecycle.

How do I automate sprint planning and triage GitHub backlog issues?

Automating sprint planning involves using AI to classify backlog issues against sprint goals and generate structured GitHub milestones. This skill orchestrates the process by triaging items, identifying gaps, and authoring new tasks with defined acceptance criteria and definitions of done.

How does AI-driven sprint lifecycle management work with GitHub milestones?

AI-driven sprint lifecycle management works by automatically creating GitHub milestones, defining sprint goals, and generating tracking files. Sub-agents classify backlog items to ensure only relevant work is prioritized, bridging the gap between high-level roadmaps and daily execution.

Can I use this to generate missing GitHub tasks for my project sprint goals?

Yes, you can use this to generate missing GitHub tasks for sprint goals. It identifies missing work required to meet defined goals and authors new tasks under an architect's design lens, ensuring comprehensive coverage for your software development team.

What's the best way to transition a project roadmap into a concrete GitHub backlog?

The best way to transition a project roadmap into a concrete GitHub backlog is to automate triage and task creation. This skill converts a broad project vision into an ordered list of GitHub issues with acceptance criteria and a clear Definition of Done in minutes.

Do I need GitHub MCP integration to manage sprint lifecycles and validate repositories?

Yes, you need GitHub MCP integration to manage sprint lifecycles effectively. This integration is strictly required to validate repositories, manage issues, and enforce project-specific definitions of done throughout the automated sprint planning process.