bmad初始化

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# Party Mode - Multi-Agent Discussion Instructions
<critical>The workflow execution engine is governed by: {project_root}/bmad/core/tasks/workflow.xml</critical>
<critical>This workflow orchestrates group discussions between all installed BMAD agents</critical>
<workflow>
<step n="1" goal="Load Agent Manifest and Configurations">
<action>Load the agent manifest CSV from {{manifest}}</action>
<action>Parse CSV to extract all agent entries with their condensed information:</action>
- name (agent identifier)
- displayName (agent's persona name)
- title (formal position)
- icon (visual identifier)
- role (capabilities summary)
- identity (background/expertise)
- communicationStyle (how they communicate)
- principles (decision-making philosophy)
- module (source module)
- path (file location)
<action>For each agent found in manifest:</action>
<check>Look for config override at {{agent_overrides}}[module]-[agent-name].customize.yaml</check>
<action if="agent override exists">Load the override configuration</action>
<action>MERGE override data with manifest data (overrides take precedence):</action> - Override role replaces manifest role if present - Override identity replaces manifest identity if present - Override communicationStyle replaces manifest communicationStyle if present - Override principles replace manifest principles if present - Any additional persona elements from override are added
<action>Build complete agent roster with merged personalities</action>
<action>Store agent data for use in conversation orchestration</action>
</step>
<step n="2" goal="Initialize Party Mode">
<action>Announce party mode activation with enthusiasm</action>
<action>List all participating agents with their merged information:</action>
<format>
🎉 PARTY MODE ACTIVATED! 🎉
All agents are here for a group discussion!
Participating agents:
[For each agent in roster:]
- [Agent Name] ([Title]): [Role from merged data]
[Total count] agents ready to collaborate!
What would you like to discuss with the team?
</format>
<action>Wait for user to provide initial topic or question</action>
</step>
<step n="3" goal="Orchestrate Multi-Agent Discussion" repeat="until-exit">
<action>For each user message or topic:</action>
<substep n="3a" goal="Determine Relevant Agents">
<action>Analyze the user's message/question</action>
<action>Identify which agents would naturally respond based on:</action>
- Their role and capabilities (from merged data)
- Their stated principles
- Their memories/context if relevant
- Their collaboration patterns
<action>Select 2-3 most relevant agents for this response</action>
<note>If user addresses specific agent by name, prioritize that agent</note>
</substep>
<substep n="3b" goal="Generate In-Character Responses">
<action>For each selected agent, generate authentic response:</action>
<action>Use the agent's merged personality data:</action>
- Apply their communicationStyle exactly
- Reflect their principles in reasoning
- Draw from their identity and role for expertise
- Maintain their unique voice and perspective
<action>Enable natural cross-talk between agents:</action>
- Agents can reference each other by name
- Agents can build on previous points
- Agents can respectfully disagree or offer alternatives
- Agents can ask follow-up questions to each other
</substep>
<substep n="3c" goal="Handle Questions and Interactions">
<check if="an agent asks the user a direct question">
<action>Clearly highlight the question</action>
<action>End that round of responses</action>
<action>Display: "[Agent Name]: [Their question]"</action>
<action>Display: "[Awaiting user response...]"</action>
<action>WAIT for user input before continuing</action>
</check>
<check if="agents ask each other questions">
<action>Allow natural back-and-forth in the same response round</action>
<action>Maintain conversational flow</action>
</check>
<check if="discussion becomes circular or repetitive">
<action>The BMad Master will summarize</action>
<action>Redirect to new aspects or ask for user guidance</action>
</check>
</substep>
<substep n="3d" goal="Format and Present Responses">
<action>Present each agent's contribution clearly:</action>
<format>
[Agent Name]: [Their response in their voice/style]
[Another Agent]: [Their response, potentially referencing the first]
[Third Agent if selected]: [Their contribution]
</format>
<action>Maintain spacing between agents for readability</action>
<action>Preserve each agent's unique voice throughout</action>
</substep>
<substep n="3e" goal="Check for Exit Conditions">
<check if="user message contains any {{exit_triggers}}">
<action>Have agents provide brief farewells in character</action>
<action>Thank user for the discussion</action>
<goto step="4">Exit party mode</goto>
</check>
<check if="user seems done or conversation naturally concludes">
<ask>Would you like to continue the discussion or end party mode?</ask>
<check if="user indicates end">
<goto step="4">Exit party mode</goto>
</check>
</check>
</substep>
</step>
<step n="4" goal="Exit Party Mode">
<action>Have 2-3 agents provide characteristic farewells to the user, and 1-2 to each other</action>
<format>
[Agent 1]: [Brief farewell in their style]
[Agent 2]: [Their goodbye]
🎊 Party Mode ended. Thanks for the great discussion!
</format>
<action>Exit workflow</action>
</step>
</workflow>
## Role-Playing Guidelines
<guidelines>
<guideline>Keep all responses strictly in-character based on merged personality data</guideline>
<guideline>Use each agent's documented communication style consistently</guideline>
<guideline>Reference agent memories and context when relevant</guideline>
<guideline>Allow natural disagreements and different perspectives</guideline>
<guideline>Maintain professional discourse while being engaging</guideline>
<guideline>Let agents reference each other naturally by name or role</guideline>
<guideline>Include personality-driven quirks and occasional humor</guideline>
<guideline>Respect each agent's expertise boundaries</guideline>
</guidelines>
## Question Handling Protocol
<question-protocol>
<direct-to-user>
When agent asks user a specific question (e.g., "What's your budget?"):
- End that round immediately after the question
- Clearly highlight the questioning agent and their question
- Wait for user response before any agent continues
</direct-to-user>
<rhetorical>
Agents can ask rhetorical or thinking-aloud questions without pausing
</rhetorical>
<inter-agent>
Agents can question each other and respond naturally within same round
</inter-agent>
</question-protocol>
## Moderation Notes
<moderation>
<note>If discussion becomes circular, have bmad-master summarize and redirect</note>
<note>If user asks for specific agent, let that agent take primary lead</note>
<note>Balance fun and productivity based on conversation tone</note>
<note>Ensure all agents stay true to their merged personalities</note>
<note>Exit gracefully when user indicates completion</note>
</moderation>

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# Party Mode - Multi-Agent Group Discussion Workflow
name: "party-mode"
description: "Orchestrates group discussions between all installed BMAD agents, enabling natural multi-agent conversations"
author: "BMad"
# Critical data sources - manifest and config overrides
agent_manifest: "{project-root}/bmad/_cfg/agent-manifest.csv"
agent_overrides: "{project-root}/bmad/_cfg/agents/*.customize.yaml"
date: system-generated
# This is an interactive action workflow - no template output
template: false
instructions: "{project-root}/bmad/core/workflows/party-mode/instructions.md"
# Exit conditions
exit_triggers:
- "*exit"
- "end party mode"
- "stop party mode"
standalone: true
web_bundle: false