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115 lines
4.2 KiB
YAML
115 lines
4.2 KiB
YAML
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# Market Research Workflow - Claude Code Integration Configuration
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# This file configures how subagents are installed and integrated
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subagents:
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# List of subagent files to be installed
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files:
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- bmm-market-researcher.md
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- bmm-trend-spotter.md
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- bmm-data-analyst.md
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- bmm-competitor-analyzer.md
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- bmm-user-researcher.md
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# Installation configuration
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installation:
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prompt: "The Market Research workflow includes specialized AI subagents for enhanced research capabilities. Would you like to install them?"
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location_options:
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- project # Install to .claude/agents/ in project
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- user # Install to ~/.claude/agents/ for all projects
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default_location: project
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# Content injections for the workflow
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injections:
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- injection_point: "market-research-subagents"
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description: "Injects subagent activation instructions into the workflow"
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content: |
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<critical>
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Claude Code Enhanced Mode: The following specialized subagents are available to enhance your market research:
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- **bmm-market-researcher**: Comprehensive market intelligence gathering and analysis
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- **bmm-trend-spotter**: Identifies emerging trends and weak signals
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- **bmm-data-analyst**: Quantitative analysis and market sizing calculations
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- **bmm-competitor-analyzer**: Deep competitive intelligence and positioning
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- **bmm-user-researcher**: User research, personas, and journey mapping
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These subagents will be automatically invoked when their expertise is relevant to the current research task.
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Use them PROACTIVELY throughout the workflow for enhanced insights.
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</critical>
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- injection_point: "market-tam-calculations"
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description: "Enhanced TAM calculation with data analyst"
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content: |
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<invoke-subagent name="bmm-data-analyst">
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Calculate TAM using multiple methodologies and provide confidence intervals.
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Use all available market data from previous research steps.
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Show detailed calculations and assumptions.
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</invoke-subagent>
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- injection_point: "market-trends-analysis"
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description: "Enhanced trend analysis with trend spotter"
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content: |
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<invoke-subagent name="bmm-trend-spotter">
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Identify emerging trends, weak signals, and future disruptions.
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Look for cross-industry patterns and second-order effects.
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Provide timeline estimates for mainstream adoption.
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</invoke-subagent>
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- injection_point: "market-customer-segments"
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description: "Enhanced customer research"
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content: |
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<invoke-subagent name="bmm-user-researcher">
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Develop detailed user personas with jobs-to-be-done analysis.
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Map the complete customer journey with pain points and opportunities.
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Provide behavioral and psychographic insights.
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</invoke-subagent>
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- injection_point: "market-executive-summary"
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description: "Enhanced executive summary synthesis"
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content: |
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<invoke-subagent name="bmm-market-researcher">
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Synthesize all research findings into a compelling executive summary.
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Highlight the most critical insights and strategic implications.
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Ensure all key metrics and recommendations are captured.
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</invoke-subagent>
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# Configuration for subagent behavior
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configuration:
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auto_invoke: true # Automatically invoke subagents when relevant
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parallel_execution: true # Allow parallel subagent execution
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cache_results: true # Cache subagent outputs for reuse
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# Subagent-specific configurations
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subagent_config:
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bmm-market-researcher:
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priority: high
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max_execution_time: 300 # seconds
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retry_on_failure: true
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bmm-trend-spotter:
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priority: medium
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max_execution_time: 180
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retry_on_failure: false
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bmm-data-analyst:
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priority: high
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max_execution_time: 240
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retry_on_failure: true
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bmm-competitor-analyzer:
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priority: high
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max_execution_time: 300
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retry_on_failure: true
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bmm-user-researcher:
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priority: medium
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max_execution_time: 240
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retry_on_failure: false
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# Metadata
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metadata:
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compatible_with: "claude-code-1.0+"
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workflow: "market-research"
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module: "bmm"
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author: "BMad Builder"
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description: "Claude Code enhancements for comprehensive market research"
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