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- Installation path is now fully configurable, allowing users to specify custom installation directories during setup
- Default installation location changed to .bmad (hidden directory) for cleaner project root organization
Web Bundle Improvements:
- All web bundles (single agent and team) now include party mode support for multi-agent collaboration!
- Advanced elicitation capabilities integrated into standalone agents
- All bundles enhanced with party mode agent manifests
- Added default-party.csv files to bmm, bmgd, and cis module teams
- The default party file is what will be used with single agent bundles. teams can customize for different party configurations before web bundling through a setting in the team yaml file
- New web bundle outputs for all agents (analyst, architect, dev, pm, sm, tea, tech-writer, ux-designer, game-*, creative-squad)
Phase 4 Workflow Updates (In Progress):
- Initiated shift to separate phase 4 implementation artifacts from documentation
- Phase 4 implementation artifacts (stories, code review, sprint plan, context files) will move to dedicated location outside docs folder
- Installer questions and configuration added for artifact path selection
- Updated workflow.yaml files for code-review, sprint-planning, story-context, epic-tech-context, and retrospective workflows to support this, but still might require some udpates
Additional Changes:
- New agent and action command header models for standardization
- Enhanced web-bundle-activation-steps fragment
- Updated web-bundler.js to support new structure
- VS Code settings updated for new .bmad directory
- Party mode instructions and workflow enhanced for better orchestration
IDE Installer Updates:
- Show version number of installer in cli
- improved Installer UX
- Gemini TOML Improved to have clear loading instructions with @ commands
- All tools agent launcher mds improved to use a central file template critical indication isntead of hardcoding in 2 different locations.
95 lines
1.5 KiB
Markdown
95 lines
1.5 KiB
Markdown
# Deep Research Prompt
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**Generated:** {{date}}
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**Created by:** {{user_name}}
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**Target Platform:** {{target_platform}}
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---
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## Research Prompt (Ready to Use)
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### Research Question
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{{research_topic}}
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### Research Goal and Context
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**Objective:** {{research_goal}}
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**Context:**
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{{research_persona}}
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### Scope and Boundaries
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**Temporal Scope:** {{temporal_scope}}
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**Geographic Scope:** {{geographic_scope}}
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**Thematic Focus:**
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{{thematic_boundaries}}
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### Information Requirements
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**Types of Information Needed:**
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{{information_types}}
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**Preferred Sources:**
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{{preferred_sources}}
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### Output Structure
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**Format:** {{output_format}}
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**Required Sections:**
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{{key_sections}}
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**Depth Level:** {{depth_level}}
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### Research Methodology
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**Keywords and Technical Terms:**
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{{research_keywords}}
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**Special Requirements:**
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{{special_requirements}}
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**Validation Criteria:**
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{{validation_criteria}}
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### Follow-up Strategy
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{{follow_up_strategy}}
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---
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## Complete Research Prompt (Copy and Paste)
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```
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{{deep_research_prompt}}
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```
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---
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## Platform-Specific Usage Tips
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{{platform_tips}}
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---
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## Research Execution Checklist
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{{execution_checklist}}
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---
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## Metadata
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**Workflow:** BMad Research Workflow - Deep Research Prompt Generator v2.0
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**Generated:** {{date}}
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**Research Type:** Deep Research Prompt
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**Platform:** {{target_platform}}
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---
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_This research prompt was generated using the BMad Method Research Workflow, incorporating best practices from ChatGPT Deep Research, Gemini Deep Research, Grok DeepSearch, and Claude Projects (2025)._
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