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claude-flow-tbowman01

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Enterprise-grade AI agent orchestration with ruv-swarm integration (Alpha Release)

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# Research Workflow Coordination ## Purpose Coordinate Claude Code's research activities for comprehensive, systematic exploration. ## Step-by-Step Coordination ### 1. Initialize Research Framework ``` Tool: mcp__claude-flow__swarm_init Parameters: {"topology": "mesh", "maxAgents": 5, "strategy": "balanced"} ``` Creates a mesh topology for comprehensive exploration from multiple angles. ### 2. Define Research Perspectives ``` Tool: mcp__claude-flow__agent_spawn Parameters: {"type": "researcher", "name": "Literature Review"} ``` ``` Tool: mcp__claude-flow__agent_spawn Parameters: {"type": "analyst", "name": "Data Analysis"} ``` Sets up different analytical approaches for Claude Code to use. ### 3. Execute Coordinated Research ``` Tool: mcp__claude-flow__task_orchestrate Parameters: { "task": "Research modern web frameworks performance", "strategy": "adaptive", "priority": "medium" } ``` ### 4. Store Research Findings ``` Tool: mcp__claude-flow__memory_usage Parameters: { "action": "store", "key": "research_findings", "value": "framework performance analysis results", "namespace": "research" } ``` ## What Claude Code Actually Does 1. Uses **WebSearch** tool for finding resources 2. Uses **Read** tool for analyzing documentation 3. Uses **Task** tool for parallel exploration 4. Synthesizes findings using coordination patterns 5. Stores insights in memory for future reference Remember: The swarm coordinates HOW Claude Code researches, not WHAT it finds. ## CLI Usage ```bash # Start research workflow via CLI npx claude-flow workflow research "modern web frameworks" # Export research workflow npx claude-flow workflow export research --format json ```