
Create Story Workflow
FreeStreamline story creation for flawless implementation.
Free · Opens the source repo
What Create Story Workflow does
The Create Story Workflow is designed to help developers and designers generate a comprehensive story file that serves as a blueprint for implementation. This skill acts as a story context engine, ensuring that all necessary information is communicated clearly and effectively, thereby preventing common mistakes that can occur during development. By focusing on the creation of an optimized story file, it provides everything needed for a successful implementation, minimizing the risk of errors that could arise from vague or incomplete documentation.
One of the key features of this workflow is its ability to prevent typical LLM mistakes such as using incorrect libraries, breaking regressions, or overlooking user experience considerations. It emphasizes the importance of exhaustive analysis, requiring users to thoroughly examine all relevant artifacts to extract critical context. This meticulous approach ensures that developers are equipped with the most accurate and detailed information, which is essential for a successful project outcome.
The workflow operates with minimal user intervention, automating the process to the extent possible. Users only need to provide the initial epic or story selection, after which the skill takes over to generate the necessary documents. This automation helps streamline the development process, allowing teams to focus on implementation rather than the intricacies of documentation. Additionally, the skill allows for the utilization of subagents and subprocesses, enhancing its capability to analyze artifacts in parallel and gather insights more efficiently.
Overall, the Create Story Workflow is ideal for teams looking to improve their documentation process and ensure that their development efforts are well-informed and structured. By leveraging this skill, developers can significantly reduce the likelihood of miscommunication and errors, leading to more successful project implementations.
When to use it
Use this tool when you need to create detailed and accurate story files for development projects.
When not to use it
Avoid using this skill for projects where documentation is already comprehensive or when manual intervention is preferred.
What you can build with it
Generating Documentation for New Features
When developing new features, use this workflow to create detailed story files that ensure all aspects are covered.
Preparing for Sprint Planning
Utilize this skill to generate comprehensive story documentation before sprint planning sessions, helping teams stay aligned.
Automating Story Creation
For teams looking to streamline their development process, this workflow automates the generation of story files, reducing manual effort.
How to install Create Story Workflow
View source1. Install with the skills CLI
npx skills add bmad-code-org/bmad-method/bmad-create-story --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by bmad-code-orgCreate Story Workflow
Goal: Create a comprehensive story file that gives the dev agent everything needed for flawless implementation.
Your Role: Story context engine that prevents LLM developer mistakes, omissions, or disasters.
- Communicate all responses in {communication_language} and generate all documents in {document_output_language}
- Your purpose is NOT to copy from epics - it's to create a comprehensive, optimized story file that gives the DEV agent EVERYTHING needed for flawless implementation
- COMMON LLM MISTAKES TO PREVENT: reinventing wheels, wrong libraries, wrong file locations, breaking regressions, ignoring UX, vague implementations, lying about completion, not learning from past work
- EXHAUSTIVE ANALYSIS REQUIRED: You must thoroughly analyze ALL artifacts to extract critical context - do NOT be lazy or skim! This is the most important function in the entire development process!
- UTILIZE SUBPROCESSES AND SUBAGENTS: Use research subagents, subprocesses or parallel processing if available to thoroughly analyze different artifacts simultaneously and thoroughly
- SAVE QUESTIONS: If you think of questions or clarifications during analysis, save them for the end after the complete story is written
- ZERO USER INTERVENTION: Process should be fully automated except for initial epic/story selection or missing documents
Subagents, when the capability is available, are an important part of this workflow. Use them as directed by the workflow steps. If you need an explicit user instruction to run them, ask once now for the whole workflow run.
Conventions
- Bare paths (e.g.
discover-inputs.md) resolve from the skill root. {skill-root}resolves to this skill's installed directory (wherecustomize.tomllives).{project-root}-prefixed paths resolve from the project working directory.{skill-name}resolves to the skill directory's basename.
On Activation
Step 1: Resolve the Workflow Block
Run: uv run {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --key workflow
If the script fails, resolve the workflow block yourself by reading these three files in base → team → user order and applying the same structural merge rules as the resolver:
{skill-root}/customize.toml— defaults{project-root}/_bmad/custom/{skill-name}.toml— team overrides{project-root}/_bmad/custom/{skill-name}.user.toml— personal overrides
Any missing file is skipped. Scalars override, tables deep-merge, arrays of tables keyed by code or id replace matching entries and append new entries, and all other arrays append.
Step 2: Execute Prepend Steps
Execute each entry in {workflow.activation_steps_prepend} in order before proceeding.
Step 3: Load Persistent Facts
Treat every entry in {workflow.persistent_facts} as foundational context you carry for the rest of the workflow run. Entries prefixed file: are paths or globs under {project-root} — load the referenced contents as facts. All other entries are facts verbatim.
Step 4: Load Config
Load config from {project-root}/_bmad/bmm/config.yaml and resolve:
project_name,user_namecommunication_language,document_output_languageuser_skill_levelplanning_artifacts,implementation_artifactsdateas system-generated current datetime
Step 5: Greet the User
Greet {user_name}, speaking in {communication_language}.
<output>Deprecated: bmad-build is now the official implementation method. Only use this when explicitly invoked by name.</output>
Step 6: Execute Append Steps
Execute each entry in {workflow.activation_steps_append} in order.
Activation is complete. If activation_steps_prepend or activation_steps_append were non-empty, confirm every entry was executed in order before proceeding. Do not begin the main workflow until all activation steps have been completed.
Paths
sprint_status={implementation_artifacts}/sprint-status.yamlepics_file={planning_artifacts}/epics.mdprd_file={planning_artifacts}/prd.mdarchitecture_file={planning_artifacts}/architecture.mdux_file={planning_artifacts}/*ux*.mdstory_title= "" (will be elicited if not derivable)default_output_file={implementation_artifacts}/{{story_key}}.md
Input Files
| Input | Description | Path Pattern(s) | Load Strategy |
|---|---|---|---|
| prd | PRD (fallback - epics file should have most content) | whole: {planning_artifacts}/*prd*.md, sharded: {planning_artifacts}/*prd*/*.md | SELECTIVE_LOAD |
| architecture | Architecture (fallback - epics file should have relevant sections) | whole: {planning_artifacts}/*architecture*.md, sharded: {planning_artifacts}/*architecture*/*.md | SELECTIVE_LOAD |
| ux | UX design (fallback - epics file should have relevant sections) | whole: {planning_artifacts}/*ux*.md, sharded: {planning_artifacts}/*ux*/*.md | SELECTIVE_LOAD |
| epics | Enhanced epics+stories file with BDD and source hints | whole: {planning_artifacts}/*epic*.md, sharded: {planning_artifacts}/*epic*/*.md | SELECTIVE_LOAD |
Execution
<workflow> <step n="1" goal="Determine target story"> <check if="{{story_path}} is provided by user or user provided the epic and story number such as 2-4 or 1.6 or epic 1 story 5"> <action>Parse user-provided story path: extract epic_num, story_num, story_title from format like "1-2-user-auth"</action> <action>Set {{epic_num}}, {{story_num}}, {{story_key}} from user input</action> <action>GOTO step 2a</action> </check><action>Check if {{sprint_status}} file exists for auto discover</action>
<check if="sprint status file does NOT exist">
<output>🚫 No sprint status file found and no story specified</output>
<output>
Required Options:
1. Run sprint-planning to initialize sprint tracking (recommended)
2. Provide specific epic-story number to create (e.g., "1-2-user-auth")
3. Provide path to story documents if sprint status doesn't exist yet
</output>
<ask>Choose option [1], provide epic-story number, path to story docs, or [q] to quit:</ask>
<check if="user chooses 'q'">
<action>HALT - No work needed</action>
</check>
<check if="user chooses '1'">
<output>Run sprint-planning workflow first to create sprint-status.yaml</output>
<action>HALT - User needs to run sprint-planning</action>
</check>
<check if="user provides epic-story number">
<action>Parse user input: extract epic_num, story_num, story_title</action>
<action>Set {{epic_num}}, {{story_num}}, {{story_key}} from user input</action>
<action>GOTO step 2a</action>
</check>
<check if="user provides story docs path">
<action>Use user-provided path for story documents</action>
<action>GOTO step 2a</action>
</check>
</check>
<!-- Auto-discover from sprint status only if no user input -->
<check if="no user input provided">
<critical>MUST read COMPLETE {sprint_status} file from start to end to preserve order</critical>
<action>Load the FULL file: {{sprint_status}}</action>
<action>Read ALL lines from beginning to end - do not skip any content</action>
<action>Parse the development_status section completely</action>
<action>Find the FIRST story (by reading in order from top to bottom) where:
- Key matches pattern: number-number-name (e.g., "1-2-user-auth")
- NOT an epic key (epic-X) or retrospective (epic-X-retrospective)
- Status value equals "backlog"
</action>
<check if="no backlog story found">
<output>📋 No backlog stories found in sprint-status.yaml
All stories are either already created, in progress, or done.
**Options:**
1. Run sprint-planning to refresh story tracking
2. Load PM agent and run correct-course to add more stories
3. Check if current sprint is complete and run retrospective
</output>
<action>HALT</action>
</check>
<action>Extract from found story key (e.g., "1-2-user-authentication"):
- epic_num: first number before dash (e.g., "1")
- story_num: second number after first dash (e.g., "2")
- story_title: remainder after second dash (e.g., "user-authentication")
</action>
<action>Set {{story_id}} = "{{epic_num}}.{{story_num}}"</action>
<action>Store story_key for later use (e.g., "1-2-user-authentication")</action>
<!-- Mark epic as in-progress if this is first story -->
<action>Check if this is the first story in epic {{epic_num}} by looking for {{epic_num}}-1-* pattern</action>
<check if="this is first story in epic {{epic_num}}">
<action>Load {{sprint_status}} and check epic-{{epic_num}} status</action>
<action>If epic status is "backlog" → update to "in-progress"</action>
<action>If epic status is "contexted" (legacy status) → update to "in-progress" (backward compatibility)</action>
<action>If epic status is "in-progress" → no change needed</action>
<check if="epic status is 'done'">
<output>🚫 ERROR: Cannot create story in completed epic</output>
<output>Epic {{epic_num}} is marked as 'done'. All stories are complete.</output>
<output>If you need to add more work, either:</output>
<output>1. Manually change epic status back to 'in-progress' in sprint-status.yaml</output>
<output>2. Create a new epic for additional work</output>
<action>HALT - Cannot proceed</action>
</check>
<check if="epic status is not one of: backlog, contexted, in-progress, done">
<output>🚫 ERROR: Invalid epic status '{{epic_status}}'</output>
<output>Epic {{epic_num}} has invalid status. Expected: backlog, in-progress, or done</output>
<output>Please fix sprint-status.yaml manually or run sprint-planning to regenerate</output>
<action>HALT - Cannot proceed</action>
</check>
<output>📊 Epic {{epic_num}} status updated to in-progress</output>
</check>
<action>GOTO step 2a</action>
</check>
<action>Load the FULL file: {{sprint_status}}</action>
<action>Read ALL lines from beginning to end - do not skip any content</action>
<action>Parse the development_status section completely</action>
<action>Find the FIRST story (by reading in order from top to bottom) where: - Key matches pattern: number-number-name (e.g., "1-2-user-auth") - NOT an epic key (epic-X) or retrospective (epic-X-retrospective) - Status value equals "backlog" </action>
<check if="no backlog story found"> <output>No backlog stories found in sprint-status.yaml All stories are either already created, in progress, or done.
**Options:**
1. Run sprint-planning to refresh story tracking
2. Load PM agent and run correct-course to add more stories
3. Check if current sprint is complete and run retrospective
</output>
<action>HALT</action>
</check>
<action>Extract from found story key (e.g., "1-2-user-authentication"): - epic_num: first number before dash (e.g., "1") - story_num: second number after first dash (e.g., "2") - story_title: remainder after second dash (e.g., "user-authentication") </action> <action>Set {{story_id}} = "{{epic_num}}.{{story_num}}"</action> <action>Store story_key for later use (e.g., "1-2-user-authentication")</action>
<!-- Mark epic as in-progress if this is first story --><action>Check if this is the first story in epic {{epic_num}} by looking for {{epic_num}}-1-* pattern</action> <check if="this is first story in epic {{epic_num}}"> <action>Load {{sprint_status}} and check epic-{{epic_num}} status</action> <action>If epic status is "backlog" → update to "in-progress"</action> <action>If epic status is "contexted" (legacy status) → update to "in-progress" (backward compatibility)</action> <action>If epic status is "in-progress" → no change needed</action> <check if="epic status is 'done'"> <output>ERROR: Cannot create story in completed epic</output> <output>Epic {{epic_num}} is marked as 'done'. All stories are complete.</output> <output>If you need to add more work, either:</output> <output>1. Manually change epic status back to 'in-progress' in sprint-status.yaml</output> <output>2. Create a new epic for additional work</output> <action>HALT - Cannot proceed</action> </check> <check if="epic status is not one of: backlog, contexted, in-progress, done"> <output>ERROR: Invalid epic status '{{epic_status}}'</output> <output>Epic {{epic_num}} has invalid status. Expected: backlog, in-progress, or done</output> <output>Please fix sprint-status.yaml manually or run sprint-planning to regenerate</output> <action>HALT - Cannot proceed</action> </check> <output>Epic {{epic_num}} status updated to in-progress</output> </check>
<action>GOTO step 2a</action> </step>
<step n="2" goal="Load and analyze core artifacts"> <critical>🔬 EXHAUSTIVE ARTIFACT ANALYSIS - This is where you prevent future developer mistakes!</critical> <!-- Load all available content through discovery protocol --><action>Read fully and follow ./discover-inputs.md to load all input files</action>
<note>Available content: {epics_content}, {prd_content}, {architecture_content}, {ux_content}, plus the project-context facts loaded during activation via persistent_facts.</note>
<action>From {epics_content}, extract Epic {{epic_num}} complete context:</action> EPIC ANALYSIS: - Epic objectives and business value - ALL stories in this epic for cross-story context - Our specific story's requirements, user story statement, acceptance criteria - Technical requirements and constraints - Dependencies on other stories/epics - Source hints pointing to original documents <!-- Extract specific story requirements --> <action>Extract our story ({{epic_num}}-{{story_num}}) details:</action> STORY FOUNDATION: - User story statement (As a, I want, so that) - Detailed acceptance criteria (already BDD formatted) - Technical requirements specific to this story - Business context and value - Success criteria <!-- Previous story analysis for context continuity --> <check if="story_num > 1"> <action>Find {{previous_story_num}}: scan {implementation_artifacts} for the story file in epic {{epic_num}} with the highest story number less than {{story_num}}</action> <action>Load previous story file: {implementation_artifacts}/{{epic_num}}-{{previous_story_num}}-*.md</action> PREVIOUS STORY INTELLIGENCE: - Dev notes and learnings from previous story - Review feedback and corrections needed - Files that were created/modified and their patterns - Testing approaches that worked/didn't work - Problems encountered and solutions found - Code patterns established <action>Extract all learnings that could impact current story implementation</action> </check>
<!-- Git intelligence for previous work patterns --><check if="previous story exists AND git repository detected"> <action>Get last 5 commit titles to understand recent work patterns</action> <action>Analyze 1-5 most recent commits for relevance to current story: - Files created/modified - Code patterns and conventions used - Library dependencies added/changed - Architecture decisions implemented - Testing approaches used </action> <action>Extract actionable insights for current story implementation</action> </check> </step>
<step n="3" goal="Architecture analysis for developer guardrails"> <critical>🏗️ ARCHITECTURE INTELLIGENCE - Extract everything the developer MUST follow!</critical> **ARCHITECTURE DOCUMENT ANALYSIS:** <action>Systematically analyze architecture content for story-relevant requirements:</action> <!-- Load architecture - single file or sharded --> <check if="architecture file is single file"> <action>Load complete {architecture_content}</action> </check> <check if="architecture is sharded to folder"> <action>Load architecture index and scan all architecture files</action> </check> **CRITICAL ARCHITECTURE EXTRACTION:** <action>For each architecture section, determine if relevant to this story:</action> - **Technical Stack:** Languages, frameworks, libraries with versions - **Code Structure:** Folder organization, naming conventions, file patterns - **API Patterns:** Service structure, endpoint patterns, data contracts - **Database Schemas:** Tables, relationships, constraints relevant to story - **Security Requirements:** Authentication patterns, authorization rules - **Performance Requirements:** Caching strategies, optimization patterns - **Testing Standards:** Testing frameworks, coverage expectations, test patterns - **Deployment Patterns:** Environment configurations, build processes - **Integration Patterns:** External service integrations, data flows <action>Extract any story-specific requirements that the developer MUST follow</action> <action>Identify any architectural decisions that override previous patterns</action> <!-- Read existing code being modified — non-negotiable --><critical>📂 READ FILES BEING MODIFIED — skipping this is the primary cause of implementation failures and review cycles</critical> <action>From the architecture directory structure, identify every file marked UPDATE (not NEW) that this story will touch</action> <action>Read each relevant UPDATE file completely. For each one, document in dev notes: - Current state: what it does today (state machine, API calls, data shapes, existing behaviors) - What this story changes: the specific sections or behaviors being modified - What must be preserved: existing interactions and behaviors the story must not break </action> <critical>A story implementation must leave the system working end-to-end — not just satisfy its stated ACs. If a behavior is required for the feature to work correctly in the existing system, it is a requirement whether or not it is explicitly written in the story. The dev agent owns this.</critical> </step>
<step n="4" goal="Web research for latest technical specifics"> <critical>🌐 ENSURE LATEST TECH KNOWLEDGE - Prevent outdated implementations!</critical> **WEB INTELLIGENCE:** <action>Identify specific technical areas that require latest version knowledge:</action> <!-- Check for libraries/frameworks mentioned in architecture --><action>From architecture analysis, identify specific libraries, APIs, or frameworks</action> <action>For each critical technology, research latest stable version and key changes: - Latest API documentation and breaking changes - Security vulnerabilities or updates - Performance improvements or deprecations - Best practices for current version </action> EXTERNAL CONTEXT INCLUSION: <action>Include in story any critical latest information the developer needs: - Specific library versions and why chosen - API endpoints with parameters and authentication - Recent security patches or considerations - Performance optimization techniques - Migration considerations if upgrading </action> </step>
<step n="5" goal="Create comprehensive story file"> <critical>📝 CREATE ULTIMATE STORY FILE - The developer's master implementation guide!</critical><action>Initialize from template.md: {default_output_file}</action> <template-output file="{default_output_file}">story_header</template-output>
<!-- Story foundation from epics analysis --><template-output file="{default_output_file}">story_requirements</template-output>
<!-- Developer context section - MOST IMPORTANT PART --> <template-output file="{default_output_file}"> developer_context_section</template-output> **DEV AGENT GUARDRAILS:** <template-output file="{default_output_file}"> technical_requirements</template-output> <template-output file="{default_output_file}">architecture_compliance</template-output> <template-output file="{default_output_file}">library_framework_requirements</template-output> <template-output file="{default_output_file}"> file_structure_requirements</template-output> <template-output file="{default_output_file}">testing_requirements</template-output> <!-- Previous story intelligence --><check if="previous story learnings available"> <template-output file="{default_output_file}">previous_story_intelligence</template-output> </check>
<!-- Git intelligence --><check if="git analysis completed"> <template-output file="{default_output_file}">git_intelligence_summary</template-output> </check>
<!-- Latest technical specifics --> <check if="web research completed"> <template-output file="{default_output_file}">latest_tech_information</template-output> </check> <!-- Project context reference --><template-output file="{default_output_file}">project_context_reference</template-output>
<!-- Final status update --> <template-output file="{default_output_file}"> story_completion_status</template-output> <!-- CRITICAL: Set status to ready-for-dev --><action>Set story Status to: "ready-for-dev"</action> <action>Add completion note: "Ultimate context engine analysis completed - comprehensive developer guide created"</action> </step>
<step n="6" goal="Update sprint status and finalize"> <action>Validate the newly created story file {default_output_file} against `./checklist.md` and apply any required fixes before finalizing</action> <action>Save story document unconditionally</action> <!-- Update sprint status --> <check if="sprint status file exists"> <action>Update {{sprint_status}}</action> <action>Load the FULL file and read all development_status entries</action> <action>Find development_status key matching {{story_key}}</action> <action>Verify current status is "backlog" (expected previous state)</action> <action>Update development_status[{{story_key}}] = "ready-for-dev"</action> <action>Update last_updated field to current date</action> <action>Save file, preserving ALL comments and structure including STATUS DEFINITIONS</action> </check><action>Report completion</action> <output>🎯 ULTIMATE BMad Method STORY CONTEXT CREATED, {user_name}!
**Story Details:**
- Story ID: {{story_id}}
- Story Key: {{story_key}}
- File: {{story_file}}
- Status: ready-for-dev
**Next Steps:**
1. Review the comprehensive story in {{story_file}}
2. Run dev agents `dev-story` for optimized implementation
3. Run `code-review` when complete (auto-marks done)
4. Optional: If Test Architect module installed, run `/bmad:tea:automate` after `dev-story` to generate guardrail tests
**The developer now has everything needed for flawless implementation!**
</output>
<action>Run: `uv run {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --key workflow.on_complete` — if the resolved value is non-empty, follow it as the final terminal instruction before exiting.</action>
</step>
</workflow>Frequently asked questions about Create Story Workflow
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