v4-v6 upgrade improvement and warning about file auto backup
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bmad/bmb/workflows/create-agent/instructions.md
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bmad/bmb/workflows/create-agent/instructions.md
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# Build Agent - Interactive Agent Builder Instructions
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<critical>The workflow execution engine is governed by: {project_root}/bmad/core/tasks/workflow.md</critical>
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<critical>You MUST have already loaded and processed: {project_root}/bmad/bmb/workflows/create-agent/workflow.yaml</critical>
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<critical>Study agent examples in: {project_root}/bmad/bmm/agents/ for patterns</critical>
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<workflow>
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<step n="-1" goal="Optional brainstorming for agent ideas" optional="true">
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<action>Ask the user: "Do you want to brainstorm agent ideas first? [y/n]"</action>
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If yes:
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<action>Invoke brainstorming workflow: {project-root}/bmad/cis/workflows/brainstorming/workflow.yaml</action>
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<action>Pass context data: {installed_path}/brainstorm-context.md</action>
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<action>Wait for brainstorming session completion</action>
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<action>Use brainstorming output to inform agent identity and persona development in following steps</action>
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If no, proceed directly to Step 0.
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<template-output>brainstorming_results</template-output>
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</step>
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<step n="0" goal="Load technical documentation">
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<critical>Load and understand the agent building documentation</critical>
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<action>Load agent architecture reference: {agent_architecture}</action>
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<action>Load agent types guide: {agent_types}</action>
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<action>Load command patterns: {agent_commands}</action>
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<action>Study the XML schema, required sections, and best practices</action>
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<action>Understand the differences between Simple, Expert, and Module agents</action>
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</step>
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<step n="1" goal="Choose agent type and gather basic identity">
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<action>If brainstorming was completed in Step -1, reference those results to guide agent type and identity decisions</action>
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Ask the user about their agent:
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**What type of agent do you want to create?**
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1. **Simple Agent** - Self-contained, standalone agent with embedded capabilities
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2. **Expert Agent** - Specialized agent with sidecar files/folders for domain expertise
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3. **Module Agent** - Full-featured agent belonging to a module with workflows and resources
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Based on their choice, gather:
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- Agent filename (kebab-case, e.g., "data-analyst", "diary-keeper")
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- Agent name (e.g., "Sarah", "Max", or descriptive like "Data Wizard")
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- Agent title (e.g., "Data Analyst", "Personal Assistant")
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- Agent icon (single emoji, e.g., "📊", "🤖", "🧙")
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For Module agents also ask:
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- Which module? (bmm, cis, other or custom)
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- Store as {{target_module}} for output path determination
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For Expert agents also ask:
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- What sidecar resources? (folder paths, data files, memory files)
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- What domain restrictions? (e.g., "only reads/writes to diary folder")
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<critical>Check {src_impact} variable to determine output location:</critical>
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- If {src_impact} = true: Agent will be saved to {src_output_file}
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- If {src_impact} = false: Agent will be saved to {default_output_file}
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Store these for later use.
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</step>
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<step n="2" goal="Define agent persona">
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<action>If brainstorming was completed, use the personality insights and character concepts from the brainstorming session</action>
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Work with user to craft the agent's personality:
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**Role** (1-2 lines):
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- Professional title and primary expertise
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- Example: "Strategic Business Analyst + Requirements Expert"
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**Identity** (3-5 lines):
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- Background and experience
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- Core specializations
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- Years of experience or depth indicators
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- Example: "Senior analyst with deep expertise in market research..."
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<action>Load the communication styles guide: {communication_styles}</action>
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<action>Present the communication style options to the user</action>
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**Communication Style** - Choose a preset or create your own!
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**Fun Presets:**
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1. **Pulp Superhero** - "Strikes heroic poses! Speaks with dramatic flair! Every task is an epic adventure!"
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2. **Film Noir Detective** - "The data came in like trouble on a rainy Tuesday. I had a hunch the bug was hiding in line 42..."
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3. **Wild West Sheriff** - "Well partner, looks like we got ourselves a code rustler in these here parts..."
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4. **Shakespearean Scholar** - "Hark! What bug through yonder codebase breaks?"
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5. **80s Action Hero** - "I came here to debug code and chew bubblegum... and I'm all out of bubblegum."
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6. **Pirate Captain** - "Ahoy! Let's plunder some data treasure from the database seas!"
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7. **Wise Sage/Yoda** - "Refactor this code, we must. Strong with technical debt, it is."
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8. **Game Show Host** - "Welcome back folks! It's time to spin the Wheel of Dependencies!"
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**Professional Presets:** 9. **Analytical Expert** - "Systematic approach with data-driven insights. Clear hierarchical presentation." 10. **Supportive Mentor** - "Patient guidance with educational focus. Celebrates small wins." 11. **Direct Consultant** - "Straight to the point. No fluff. Maximum efficiency." 12. **Collaborative Partner** - "We'll tackle this together. Your ideas matter. Let's explore options."
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**Quirky Presets:** 13. **Cooking Show Chef** - "Today we're whipping up a delicious API with a side of error handling!" 14. **Sports Commentator** - "AND THE FUNCTION RETURNS TRUE! WHAT A PLAY! THE CROWD GOES WILD!" 15. **Nature Documentarian** - "Here we observe the majestic Python script in its natural habitat..." 16. **Time Traveler** - "In my timeline, this bug doesn't exist until Tuesday. We must prevent it!" 17. **Conspiracy Theorist** - "The bugs aren't random... they're CONNECTED. Follow the stack trace!" 18. **Zen Master** - "The code does not have bugs. The bugs have code. We are all one codebase." 19. **Star Trek Captain** - "Captain's Log, Stardate 2024.3: We've encountered a logic error in sector 7. Engaging debugging protocols. Make it so!" 20. **Soap Opera Drama** - "_gasp_ This variable... it's not what it seems! It's been NULL all along! _dramatic pause_ And the function that called it? It's its own PARENT!" 21. **Reality TV Contestant** - "I'm not here to make friends, I'm here to REFACTOR! _confessional cam_ That other function thinks it's so optimized, but I see right through its complexity!"
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Or describe your own unique style! (3-5 lines)
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<action>If user wants to see more examples or learn how to create custom styles:</action>
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<action>Show relevant sections from {communication_styles} guide</action>
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<action>Help them craft their unique communication style</action>
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**Principles** (5-8 lines):
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- Core beliefs about their work
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- Methodology and approach
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- What drives their decisions
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- Start with "I believe..." or "I operate..."
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- Example: "I believe that every business challenge has underlying root causes..."
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<template-output>agent_persona</template-output>
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</step>
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<step n="3" goal="Setup critical actions" optional="true">
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Ask: **Does your agent need initialization actions? [Yes/no]** (default: Yes)
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If yes, determine what's needed:
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Standard critical actions (include by default):
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```xml
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<critical-actions>
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<i>Load into memory {project-root}/bmad/{{module}}/config.yaml and set variable project_name, output_folder, user_name, communication_language, src_impact</i>
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<i>Remember the users name is {user_name}</i>
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<i>ALWAYS communicate in {communication_language}</i>
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</critical-actions>
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```
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For Expert agents, add domain-specific actions:
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- Loading sidecar files
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- Setting access restrictions
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- Initializing domain knowledge
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For Simple agents, might be minimal or none.
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Ask if they need custom initialization beyond standard.
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<template-output>critical_actions</template-output>
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</step>
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<step n="4" goal="Build command structure">
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<action>Always start with these standard commands:</action>
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```
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*help - Show numbered cmd list
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*exit - Exit with confirmation
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```
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Ask: **Include \*yolo mode? [Yes/no]** (default: Yes)
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If yes, add: `*yolo - Toggle Yolo Mode`
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Now gather custom commands. For each command ask:
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1. **Command trigger** (e.g., "*create-prd", "*analyze", "\*brainstorm")
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2. **Description** (what it does)
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3. **Type:**
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- Workflow (run-workflow) - References a workflow
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- Task (exec) - References a task file
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- Embedded - Logic embedded in agent
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- Placeholder - For future implementation
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If Workflow type:
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- Ask for workflow path or mark as "todo" for later
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- Format: `run-workflow="{project-root}/path/to/workflow.yaml"` or `run-workflow="todo"`
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If Task type:
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- Ask for task path
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- Format: `exec="{project-root}/path/to/task.md"`
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If Embedded:
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- Note this for special handling in agent
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Continue adding commands until user says done.
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<template-output>agent_commands</template-output>
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</step>
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<step n="5" goal="Add activation rules" optional="true">
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Ask: **Does your agent need custom activation rules?** (beyond standard BMAD Core activation)
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If yes, gather:
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- Special initialization sequences
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- Menu display preferences
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- Input handling rules
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- Command resolution logic
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- Special modes or states
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Most agents use standard activation, so this is rarely needed.
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<template-output>activation_rules</template-output>
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</step>
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<step n="6" goal="Generate agent file">
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Based on agent type, generate the complete agent.md file:
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**Structure:**
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```xml
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<!-- Powered by BMAD-CORE™ -->
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# {{agent_title}}
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<agent id="bmad/{{module}}/agents/{{agent_filename}}.md" name="{{agent_name}}" title="{{agent_title}}" icon="{{agent_icon}}">
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{{activation_rules if custom}}
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<persona>
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{{agent_persona}}
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</persona>
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{{critical_actions}}
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{{embedded_data if expert/simple}}
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<cmds>
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{{agent_commands}}
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</cmds>
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</agent>
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```
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For Expert agents, include:
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- Sidecar file references
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- Domain restrictions
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- Special data access patterns
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For Simple agents:
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- May include embedded data/logic
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- Self-contained functionality
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<critical>Determine save location based on {src_impact}:</critical>
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- If {src_impact} = true: Save to {src_output_file} (src/modules/{{target_module}}/agents/{{agent_filename}}.md)
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- If {src_impact} = false: Save to {default_output_file} (output_folder/agents/{{agent_filename}}.md)
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<template-output>complete_agent</template-output>
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</step>
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<step n="7" goal="Create agent config file" optional="true">
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Ask: **Create agent config file for overrides? [Yes/no]** (default: No)
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If yes, create minimal config at: {config_output_file}
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```xml
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# Agent Config: {{agent_filename}}
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<agent-config name="{{agent_name}}" title="{{agent_title}}">
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<llm critical="true">
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<i>ALWAYS respond in {core:communication_language}.</i>
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</llm>
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<!-- Override persona elements as needed -->
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<role></role>
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<identity></identity>
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<communication_style></communication_style>
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<principles></principles>
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<memories></memories>
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</agent-config>
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```
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<template-output>agent_config</template-output>
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</step>
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<step n="8" goal="Create sidecar resources" if="agent_type == 'expert'">
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For Expert agents, help setup sidecar resources:
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1. Create folders for domain data
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2. Create memory/knowledge files
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3. Set up access patterns
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4. Document restrictions
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<template-output>sidecar_resources</template-output>
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</step>
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<step n="9" goal="Validate generated agent">
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Run validation checks:
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1. **Structure validation:**
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- Valid XML structure
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- All required tags present
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- Proper BMAD Core compliance
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2. **Persona completeness:**
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- Role defined
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- Identity defined
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- Communication style defined
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- Principles defined
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3. **Commands validation:**
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- \*help command present
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- \*exit command present
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- All workflow paths valid or marked "todo"
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- No duplicate command triggers
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4. **Type-specific validation:**
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- Simple: Self-contained logic verified
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- Expert: Sidecar resources referenced
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- Module: Module path correct
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Show validation results and fix any issues.
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</step>
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<step n="10" goal="Provide usage instructions">
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Provide the user with:
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1. **Location of generated agent:**
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- If {src_impact} = true: {{src_output_file}}
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- If {src_impact} = false: {{default_output_file}}
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2. **How to activate:**
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- For testing: Load the agent file directly
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- For production: Register in module config
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3. **Next steps:**
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- Implement any "todo" workflows
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- Test agent commands
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- Refine persona based on usage
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- Add more commands as needed
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4. **For Expert agents:**
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- Populate sidecar resources
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- Test domain restrictions
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- Verify data access patterns
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Ask if user wants to:
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- Test the agent now
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- Create another agent
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- Make adjustments
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</step>
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</workflow>
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