bmad-create-story

Generate story files from epics, architecture, and development artifacts.

Updated Mar 16, 2026
One-click install
npx skills add https://github.com/geekdesign27/travailleursisoles --skill bmad-create-story-geekdesign27
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bmad-create-story
Source: https://github.com/geekdesign27/travailleursisoles/tree/main/_bmad/bmm/workflows/4-implementation/bmad-create-story
Command: npx skills add https://github.com/geekdesign27/travailleursisoles --skill bmad-create-story-geekdesign27

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the creation of detailed story files, ensuring developers have all necessary context for flawless implementation and preventing common LLM-induced errors.

Core Features & Use Cases

  • Automated Story Generation: Creates complete story files from epic and sprint data.
  • Contextual Intelligence: Integrates architecture, previous learnings, and research for robust guidance.
  • Developer Guardrails: Implements checks to prevent reinventing wheels, wrong libraries, and regressions.
  • Use Case: When a user says "create the next story" or "create story [story identifier]", this Skill generates a ready-to-implement story file that minimizes developer ambiguity and rework.

Quick Start

Use the bmad-create-story skill to create the next story in the sprint backlog.

Frequently Asked Questions about bmad-create-story

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

FAQPage Schema
How do I generate comprehensive development stories for LLM agents?

Generate comprehensive development stories by analyzing epics, architecture, and previous artifacts to create context-rich story files. This ensures software agents receive necessary project context and technical requirements for flawless implementation.

How does contextual story generation prevent common LLM implementation errors?

Contextual story generation prevents LLM errors by integrating architecture constraints and previous learnings into the story file. Developer guardrails enforce checks that stop agents from reinventing wheels, using wrong libraries, and causing regressions.

What is the best way to automate dev story creation for agile sprints?

Automate dev story creation by processing epic and sprint backlog data to produce ready-to-implement story files. This minimizes developer ambiguity and rework by embedding project structure and best practices directly into the generated output.

Do I need existing architecture and epic data to generate implementation guides?

You need existing architecture and epic data to generate implementation guides. The skill analyzes these previous development artifacts to ensure the output adheres to technical requirements and project structure, preventing implementation errors.

Can I generate a specific story file using a story identifier?

You can generate a specific story file by providing a story identifier when invoking the skill. It then analyzes the relevant epic and architectural context to output a ready-to-implement file tailored for that exact story.

What are the limitations of automated story generation for software development?

Automated story generation relies on the quality of input epics and architecture artifacts. If previous development artifacts lack detail, the generated implementation guide may not provide sufficient context to completely prevent developer rework.