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2025-08-10 00:36:36 +00:00
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+# Research Swarm Strategy
+
+## Purpose
+Deep research through parallel information gathering.
+
+## Activation
+
+### Using MCP Tools
+```javascript
+// Initialize research swarm
+mcp__claude-flow__swarm_init({
+  "topology": "mesh",
+  "maxAgents": 6,
+  "strategy": "adaptive"
+})
+
+// Orchestrate research task
+mcp__claude-flow__task_orchestrate({
+  "task": "research topic X",
+  "strategy": "parallel",
+  "priority": "medium"
+})
+```
+
+### Using CLI (Fallback)
+`npx claude-flow swarm "research topic X" --strategy research`
+
+## Agent Roles
+
+### Agent Spawning with MCP
+```javascript
+// Spawn research agents
+mcp__claude-flow__agent_spawn({
+  "type": "researcher",
+  "name": "Web Researcher",
+  "capabilities": ["web-search", "content-extraction", "source-validation"]
+})
+
+mcp__claude-flow__agent_spawn({
+  "type": "researcher",
+  "name": "Academic Researcher",
+  "capabilities": ["paper-analysis", "citation-tracking", "literature-review"]
+})
+
+mcp__claude-flow__agent_spawn({
+  "type": "analyst",
+  "name": "Data Analyst",
+  "capabilities": ["data-processing", "statistical-analysis", "visualization"]
+})
+
+mcp__claude-flow__agent_spawn({
+  "type": "documenter",
+  "name": "Report Writer",
+  "capabilities": ["synthesis", "technical-writing", "formatting"]
+})
+```
+
+## Research Methods
+
+### Information Gathering
+```javascript
+// Parallel information collection
+mcp__claude-flow__parallel_execute({
+  "tasks": [
+    { "id": "web-search", "command": "search recent publications" },
+    { "id": "academic-search", "command": "search academic databases" },
+    { "id": "data-collection", "command": "gather relevant datasets" }
+  ]
+})
+
+// Store research findings
+mcp__claude-flow__memory_usage({
+  "action": "store",
+  "key": "research-findings-" + Date.now(),
+  "value": JSON.stringify(findings),
+  "namespace": "research",
+  "ttl": 604800 // 7 days
+})
+```
+
+### Analysis and Validation
+```javascript
+// Pattern recognition in findings
+mcp__claude-flow__pattern_recognize({
+  "data": researchData,
+  "patterns": ["trend", "correlation", "outlier"]
+})
+
+// Cognitive analysis
+mcp__claude-flow__cognitive_analyze({
+  "behavior": "research-synthesis"
+})
+
+// Cross-reference validation
+mcp__claude-flow__quality_assess({
+  "target": "research-sources",
+  "criteria": ["credibility", "relevance", "recency"]
+})
+```
+
+### Knowledge Management
+```javascript
+// Search existing knowledge
+mcp__claude-flow__memory_search({
+  "pattern": "topic X",
+  "namespace": "research",
+  "limit": 20
+})
+
+// Create knowledge connections
+mcp__claude-flow__neural_patterns({
+  "action": "learn",
+  "operation": "knowledge-graph",
+  "metadata": {
+    "topic": "X",
+    "connections": relatedTopics
+  }
+})
+```
+
+### Reporting
+```javascript
+// Generate research report
+mcp__claude-flow__workflow_execute({
+  "workflowId": "research-report-generation",
+  "params": {
+    "findings": findings,
+    "format": "comprehensive"
+  }
+})
+
+// Monitor progress
+mcp__claude-flow__swarm_status({
+  "swarmId": "research-swarm"
+})
+```