bmad-create-story

Generate or enrich tracker issues with deployment chain audits and validation requirements.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/florian-trehaut/bmad-global --skill bmad-create-story-florian-trehaut
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bmad-create-story
Source: https://github.com/florian-trehaut/bmad-global/tree/main/src/bmm-skills/2-plan-workflows/bmad-create-story
Command: npx skills add https://github.com/florian-trehaut/bmad-global --skill bmad-create-story-florian-trehaut

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Unified story creation and enrichment engine automates the end-to-end workflow for generating tracker issues and enriching backlog items. It handles discovery (conversational spec engineering) and enrichment (loading PRD, Architecture, UX, and completed stories) to produce implementation-ready stories with deployment-chain audits and validation requirements.

Core Features & Use Cases

  • Discovery mode creates a new tracker issue from conversational business context.
  • Enrichment mode enriches an existing backlog issue with tasks, guardrails, ACs, and test requirements using full project context.
  • Both modes produce ready-for-development stories with deployment chain audit, impact analysis, and validation metier. It loads project knowledge and ADR guidance to maintain consistency across epics.

Quick Start

Describe the business need and invoke the create-story flow to generate an implementation-ready tracker issue.

Frequently Asked Questions about bmad-create-story

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

FAQPage Schema
How do I turn business needs into ready-to-work tracker stories?

To turn business needs into tracker stories, describe your requirements to trigger a conversational discovery mode that generates implementation-ready issues with tasks, guardrails, and test requirements.

How do I enrich existing backlog issues with full project context?

Enrich existing backlog issues by loading project knowledge, PRDs, architecture, and UX documents to automatically append acceptance criteria, impact analysis, and validation requirements.

What is conversational spec engineering for issue tracking?

Conversational spec engineering for issue tracking is a discovery process that transforms business context discussions into structured, deployment-ready tracker issues, removing manual drafting bottlenecks.

Can I generate tracker issues that include deployment chain audits and acceptance criteria?

Yes, generating tracker issues through this workflow includes deployment chain audits, guardrails, acceptance criteria, and test requirements to ensure stories are ready for development.

How do I maintain consistency across epics when creating new stories?

Maintain consistency across epics by loading project knowledge and architecture decision records during story creation, ensuring new issues align with existing UX and architecture guidelines.

What is the best way to automate PRD to tracker issue conversion?

Automate PRD to tracker issue conversion by applying an enrichment workflow that loads product requirements and architecture documents to produce implementation-ready stories with validation requirements.