Combined Option A + B implementation providing comprehensive large context analysis:
Core Integration:
- Add gemini-analysis.md task for massive context window operations
- Configure geminiCli settings in core-config.yaml with safety controls
- Support @file/directory syntax and --all-files mode for project-wide analysis
- Implement configurable approval modes and timeout protections
Agent Capabilities:
- Add *gemini-analyze command to analyst, architect, and dev agents
- Enable large codebase discovery, architecture analysis, and debugging
- Support feature verification and pattern discovery across entire projects
- Maintain read-only default with approval prompts for modifications
Team Configurations:
- Create team-gemini-analysis.yaml for specialized large context work
- Include comprehensive command templates and usage examples
- Integrate with existing fullstack and development workflows
Documentation & Safety:
- Update CLAUDE.md with comprehensive Gemini CLI usage guide
- Provide command templates for common analysis patterns
- Include safety measures, path validation, and error handling
- Document integration patterns with existing BMAD workflow
The system enables analysis of large codebases that exceed normal context limits
while maintaining BMAD's safety-first approach and task-based architecture.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Add research-coordinator agent with multi-perspective coordination capabilities
- Add adaptable researcher agent with domain-specific specialization profiles
- Implement unified request-research task for agent-to-research communication
- Add research logging and indexing system in docs/research/
- Include web search capabilities and configurable team size (default 3)
- Update analyst, architect, and pm agents with research command integration
- Add research team configuration and integrate into fullstack team
- Implement research synthesis templates and quality assurance checklists
- Add comprehensive research methodologies and domain expertise documentation
The system enables any agent to request specialized research through standardized
task interface, with research coordinator spawning domain experts and synthesizing
findings into actionable reports while maintaining indexed research log.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
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