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bmad-create-story

Automates creation of developer story files with technical requirements and architectural compliance.

1|Updated May 31, 2026
Search Tags:#code generation#error prevention#story creation#developer tooling#developer assistance#contextual information
One-click install
npx skills add https://github.com/sfines/slf-llm-wiki-py --skill bmad-create-story-sfines
Or copy as Structured Prompt for Agentโ–ผ
Please help me install this Agent Skill.
Skill: bmad-create-story
Source: https://github.com/sfines/slf-llm-wiki-py/tree/main/.agents/skills/bmad-create-story
Command: npx skills add https://github.com/sfines/slf-llm-wiki-py --skill bmad-create-story-sfines

SYSTEM DOCUMENTATION & REQUIREMENTS

๐Ÿ’ก This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the creation of detailed story files for developers, providing comprehensive context and reducing the risk of implementation errors.

Core Features & Use Cases

  • Comprehensive Story Creation: Generates story files with all necessary information for flawless implementation.
  • Exhaustive Analysis: Utilizes thorough analysis of epics, architecture, UX, and previous work to ensure no detail is missed.
  • Developer Guardrails: Provides technical requirements, architectural compliance, and library/framework guidelines to developers.
  • Previous Story Intelligence: Includes insights from previous story implementations to prevent past mistakes.
  • Git Intelligence: Analyzes recent commits for relevant patterns and dependencies.
  • Latest Technical Research: Ensures the latest technical information is included to prevent outdated implementations.
  • Quality Assurance: Validates story files for critical issues, missing requirements, and potential disasters.
  • Optimized for LLM Developer Agents: Delivers context in a clear, actionable format for efficient consumption by AI developer agents.

Quick Start

Use the bmad-create-story skill to generate a story for epic 1 and story 2.

Frequently Asked Questions about bmad-create-story

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

FAQPage Schema
How do I automate story creation for developer agents with comprehensive context?โ–ผ

Automating story creation involves generating detailed story files that analyze epics, architecture, and previous work to provide technical requirements and architectural compliance. This ensures LLM developer agents receive actionable context for flawless implementation.

What is the best way to prevent implementation errors when generating developer stories?โ–ผ

The best way to prevent implementation errors during story creation is validating story files for critical issues while including previous story intelligence and latest technical research. This provides developer guardrails and architectural compliance guidelines.

Can I use git commit history to improve story file generation?โ–ผ

Yes, you can use git intelligence to improve story file generation by analyzing recent commits for relevant patterns and dependencies. This ensures the generated developer stories include accurate technical context and prevent outdated implementations.

How do I ensure architectural compliance in generated developer stories?โ–ผ

Ensuring architectural compliance in story creation involves exhaustive analysis of existing architecture and UX designs. The generated story files provide explicit library and framework guidelines, acting as developer guardrails to prevent deviations.

Does automated story creation work for optimizing context for LLM developer agents?โ–ผ

Yes, automated story creation is optimized for LLM developer agents by delivering context in a clear, actionable format. It analyzes previous work and technical requirements to ensure efficient consumption by AI agents during implementation.

What are the limitations of using automated story files for code generation?โ–ผ

Limitations of automated story files include relying entirely on the exhaustive analysis of epics and architecture provided. If previous story intelligence or git intelligence lacks sufficient patterns, the generated developer guardrails may miss critical implementation requirements.

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