Can I customize the phases of my development sprint?

Yes, you can define custom reusable workflow templates in the .claude/workflows/ directory, allowing you to specify unique phases, for-each expansions, and task hierarchies tailored to your project.

What is Ralph Mode in Sprint Orchestration?

Ralph Mode is an autonomous, goal-driven workflow mode where Claude dynamically creates and executes the specific steps necessary to reach a high-level objective without requiring a predefined list of tasks.

How do I check the current status of an active sprint?

You can use the 'sprint-status' command at any time to see a hierarchical view of your progress, showing which phases are complete, pending, or currently in progress.

What are the benefits of fresh-context execution?

By executing tasks in fresh contexts (the Ralph Loop), the skill prevents context drift and ensures that Claude remains focused on the specific requirements and state of the current task for higher accuracy.

How does the sprint compilation process work?

When you run a sprint, the skill reads your SPRINT.yaml configuration, resolves the chosen workflow template from your local directory, and expands it into a comprehensive PROGRESS.yaml execution tree.

Sprint Orchestration

Name: Sprint Orchestration
Author: Mission42-ai

byMission42-ai

생산성 및 워크플로

Manages end-to-end development sprints using hierarchical workflows and fresh-context task execution for modular software development.

소개

Sprint Orchestration is a powerful Claude Code skill designed to streamline the software development lifecycle by transforming high-level goals into structured, executable phases. It utilizes a compiler-based approach to resolve workflow templates—spanning preparation, development, QA, and deployment—into a detailed execution tree. By supporting 'Ralph Mode' for autonomous, goal-driven task generation and ensuring fresh-context processing for every sub-task, this skill maintains project momentum while providing transparent progress tracking through generated YAML artifacts. It is an essential tool for developers looking to automate repetitive project management overhead and maintain high code quality through standardized development patterns.

주요 기능

Fresh-context task processing via the Ralph Loop to ensure model reliability
Hierarchical phase management including Prepare, Development, QA, and Deploy
Real-time progress tracking with automated PROGRESS.yaml state management
Autonomous 'Ralph Mode' for dynamic, goal-driven task execution
0 GitHub stars
Workflow-based compilation that expands high-level steps into detailed task trees

사용 사례

Automating complex feature development cycles with standardized testing and documentation phases
Executing autonomous, open-ended technical goals that require dynamic step creation
Managing recurring maintenance sprints using reusable workflow templates

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add mission42-ai/m42-claude-plugins orchestrating-sprints

For use in Claude.ai and ChatGPT

Download Skill

GitHub

소개

주요 기능

Fresh-context task processing via the Ralph Loop to ensure model reliability
Hierarchical phase management including Prepare, Development, QA, and Deploy
Real-time progress tracking with automated PROGRESS.yaml state management
Autonomous 'Ralph Mode' for dynamic, goal-driven task execution
0 GitHub stars
Workflow-based compilation that expands high-level steps into detailed task trees

사용 사례

Automating complex feature development cycles with standardized testing and documentation phases
Executing autonomous, open-ended technical goals that require dynamic step creation
Managing recurring maintenance sprints using reusable workflow templates