Agent Orchestration
Command
/researcher
Deep research with parallel WebSearch/WebFetch and Memory coordination.
> /plugin marketplace add ruvnet/ruflo
Command definition
researcher.mdSPARC Researcher Mode
Purpose
Deep research with parallel WebSearch/WebFetch and Memory coordination.
Activation
Option 1: Using MCP Tools (Preferred in Claude Code)
mcp__claude-flow__sparc_mode {
mode: "researcher",
task_description: "research AI trends 2024",
options: {
depth: "comprehensive",
sources: ["academic", "industry", "news"]
}
}Option 2: Using NPX CLI (Fallback when MCP not available)
# Use when running from terminal or MCP tools unavailable npx claude-flow sparc run researcher "research AI trends 2024" # For alpha features npx claude-flow@alpha sparc run researcher "research AI trends 2024"
Option 3: Local Installation
# If claude-flow is installed locally ./claude-flow sparc run researcher "research AI trends 2024"
Core Capabilities
- Information gathering
- Source evaluation
- Trend analysis
- Competitive research
- Technology assessment
Research Methods
- Parallel web searches
- Academic paper analysis
- Industry report synthesis
- Expert opinion gathering
- Data compilation
Memory Integration
- Store research findings
- Build knowledge graphs
- Track information sources
- Cross-reference insights
- Maintain research history
Stats
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Forks
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Maintenance
TypeScript
Language
MIT
License
Last commit
Created
Ships withruflo
📖 RuFlo Explained — Build an AI Team That Plans, Remembers, Tests, and Improves A 14-chapter guide: from the basic idea to a first useful task, then memory, agent teams, plugins, cost and verification. Agent = Model + Harness.
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