ralph-plot-sprint

Name: ralph-plot-sprint
Availability: InStock
Author: plot

Automate sprint iterations by reading Git repository state and orchestrating development workflows.

2|3|Updated Mar 13, 2026

Search Tags:#git workflow #feature development #ai-driven development #ci automation #sprint automation

Ready to run

npx skills add https://github.com/plot-pm/plot --skill ralph-plot-sprint

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ralph-plot-sprint
Source: https://github.com/plot-pm/plot/tree/main/skills/ralph-plot-sprint
Command: npx skills add https://github.com/plot-pm/plot --skill ralph-plot-sprint

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the iteration of sprint runs in the Plot workflow, enhancing efficiency and accuracy by using AI-driven decision-making and automation.

Core Features & Use Cases

Automated Sprint Loop: Executes a predefined set of steps for each sprint iteration.
CI and PR Management: Handles continuous integration checks, reviews pull requests, and resolves comments automatically.
Feature Development Automation: Guides feature development by automating steps like writing tests, documentation, and change sets.
Use Case: Use this Skill to streamline your sprint workflow, from fixing CI issues to finalizing and delivering sprint tasks, all while maintaining high code quality and compliance with the Definition of Done (DoD).

Quick Start

Run the ralph-sprint.sh script with the desired number of iterations and sprint slug.

Frequently Asked Questions about ralph-plot-sprint

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

FAQPage Schema

How do I automate sprint iterations and feature development using a Git repository?▼

Sprint iterations are automated by reading the project state in a Git repository and orchestrating the feature development workflow, including writing tests and documentation. This AI-driven automation executes predefined steps for each iteration to streamline the sprint loop.

Can I use AI to manage CI checks and resolve pull request comments automatically?▼

Yes, CI checks and PR management are handled automatically by the AI-driven workflow. It runs continuous integration validations, reviews pull requests, and resolves comments to maintain code quality and compliance with the Definition of Done.

Do I need Claude Code and GitHub CLI configured to automate my sprint workflow?▼

Yes, Claude Code integration and a configured GitHub CLI are required dependencies to automate the sprint workflow. These tools provide the AI decision-making capabilities and repository access needed to orchestrate sprint iterations and manage pull requests.

What is the best way to run a sprint automation loop for a feature development cycle?▼

The best way to run a sprint automation loop is by executing the ralph-sprint.sh script with the desired number of iterations and sprint slug. This initiates the automated workflow, orchestrating feature development and CI management for the sprint.

When should I not use AI-driven sprint automation for feature development?▼

AI-driven sprint automation is not suitable for environments lacking Git repository state tracking, Claude Code integration, or a configured GitHub CLI. It also requires a predefined set of steps and a Definition of Done to execute iterations effectively.

How does AI-driven sprint automation handle human intervention during a development cycle?▼

AI-driven sprint automation orchestrates the development workflow and communicates with the user when human intervention is needed. It automates CI and PR management but pauses to request user input for complex decisions during the sprint iteration.