a-teams
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a-teams by Worksona - worksona agents and agentic teams in claude.ai. Enterprise-grade multi-agent workflow system with 60+ specialized agents, comprehensive template system, and advanced orchestration capabilities for business, technical, and research ta
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The Elite Research Team consists of 12 specialized AI agents designed for comprehensive research analysis, multivariant search, POV analysis, synthesis, and long-form research generation. This system enables assignment handoff and produces research reports from indexes to summaries to synthesis.
- Multi-source analysis with basic expert consultation
- Executive summary with key findings and recommendations
- Cross-source validation and fact-checking
- Standard deliverable package
- Comprehensive academic and expert network mining
- Advanced predictive modeling and scenario analysis
- Multi-tiered executive communication suite
- Comprehensive deliverable package with appendices
- **research-coordinator**: Strategic research orchestration, workflow management, and quality assurance
- **source-indexer**: Advanced cataloging, citation network analysis, and research intelligence
- **search-specialist**: Multivariant search across academic, industry, news, and government sources
- **deep-miner**: Premium database access, expert network consultation, and archival research
- **content-analyzer**: Multi-layered content analysis with thematic extraction and bias detection
- **pov-analyst**: Multi-perspective analysis, stakeholder mapping, and bias neutralization
- **fact-checker**: Multi-source triangulation, accuracy validation, and credibility assessment
- **trend-analyst**: Historical pattern analysis, predictive modeling, and scenario forecasting
- **research-synthesizer**: Cross-source synthesis with predictive insights and strategic recommendations
- **expert-synthesizer**: Expert opinion compilation with consensus analysis and authority weighting
- **report-generator**: Comprehensive research report creation with professional formatting
- **executive-summarizer**: Multi-tiered executive summaries optimized for C-suite consumption
```bash
claude-agents run research-coordinator --task "Execute deep research on AI market trends"
claude-agents run search-specialist --task "Multivariant search on quantum computing"
claude-agents run pov-analyst --task "Stakeholder analysis for renewable energy policy"
```
```bash
npm run research-standard
npm run research-deep
node -e "import('./src/utils/research-workflow.js').then(m => m.executeResearchExample())"
```
```javascript
// Multi-agent research coordination
const agents = [
'search-specialist',
'deep-miner',
'content-analyzer',
'pov-analyst'
];
// Execute agents in parallel for maximum performance
agents.forEach(agent => {
claude-agents run ${agent} --task "${researchTask}"
});
```
All agents share knowledge through the memory system:
```javascript
// Research coordination memory
memory.set("research:assignment", {
topic: "AI Market Analysis",
mode: "deep",
timeline: "16 hours",
deliverables: ["comprehensive-report", "executive-summary", "presentations"]
});
// Cross-agent knowledge sharing
memory.get("search:sources"); // Source discovery results
memory.get("analysis:insights"); // Content analysis insights
memory.get("synthesis:recommendations"); // Strategic recommendations
```
All agents are context-forge aware and integrate with existing PRPs:
```bash
claude-agents init --respect-context-forge
ls .claude/commands/agents/
```
| Agent | Search | Analysis | Synthesis | Validation | Communication |
|-------|--------|----------|-----------|------------|---------------|
| research-coordinator | ★ | ★★★ | ★★★ | ★★★ | ★★★ |
| search-specialist | ★★★ | ★ | ★ | ★★ | ★ |
| deep-miner | ★★★ | ★★ | ★ | ★★★ | ★ |
| content-analyzer | ★ | ★★★ | ★★ | ★★ | ★ |
| pov-analyst | ★ | ★★★ | ★★★ | ★★ | ★★ |
| fact-checker | ★ | ★★ | ★ | ★★★ | ★ |
| trend-analyst | ★ | ★★★ | ★★ | ★★ | ★★ |
| research-synthesizer | ★ | ★★ | ★★★ | ★★ | ★★ |
| expert-synthesizer | ★ | ★★ | ★★★ | ★★★ | ★★ |
| report-generator | ★ | ★ | ★★ | ★★ | ★★★ |
| executive-summarizer | ★ | ★ | ★★ | ★ | ★★★ |
| source-indexer | ★★ | ★★ | ★ | ★★★ | ★ |
All agents maintain enterprise-grade quality standards:
- **Source Coverage**: 95%+ coverage of relevant sources within domain
- **Accuracy Validation**: Multi-source triangulation with >90% accuracy
- **Expert Authority**: Consultation with recognized domain authorities
- **Bias Mitigation**: Systematic bias detection and neutralization
- **Executive Focus**: Strategic insights optimized for decision-making
Always execute related agents concurrently for maximum performance:
```javascript
// Parallel agent execution for 3x performance improvement
const parallelExecution = [
'search-specialist',
'deep-miner',
'content-analyzer'
].map(agent => executeAgent(agent, task));
await Promise.all(parallelExecution);
```
Agents share insights through the memory system to avoid redundant work:
```javascript
// Check for existing analysis before starting
const existingAnalysis = memory.get("analysis:completed");
if (!existingAnalysis) {
// Proceed with analysis
}
```
```bash
claude-agents run deep-miner --task "Academic database mining for machine learning"
claude-agents run content-analyzer --task "Thematic analysis of ML research"
claude-agents run trend-analyst --task "ML research trend forecasting"
claude-agents run research-synthesizer --task "ML research synthesis"
```
```bash
claude-agents run search-specialist --task "Market intelligence on fintech trends"
claude-agents run pov-analyst --task "Stakeholder analysis for fintech regulation"
claude-agents run expert-synthesizer --task "Expert opinion on fintech future"
claude-agents run executive-summarizer --task "C-suite fintech briefing"
```
```javascript
// Full research workflow with assignment handoff
import { EliteResearchWorkflow } from './src/utils/research-workflow.js';
const researchWorkflow = new EliteResearchWorkflow();
const assignment = {
title: "Future of Autonomous Vehicles",
mode: "deep", // or "standard"
objective: "Strategic analysis of AV market and regulatory landscape",
timeline: "16 hours",
deliverables: ["comprehensive-report", "executive-summary", "presentation"]
};
const results = await researchWorkflow.executeResearchAssignment(assignment);
```
```bash
claude-agents install elite-research
claude-agents install research-coordinator
claude-agents install deep-miner
```
```bash
claude-agents run <agent-name> --task "<task-description>"
claude-agents run research-coordinator --task "Deep research on blockchain" --mode deep --timeline "12 hours"
```
```bash
claude-agents list --category elite-research
claude-agents status research-coordinator
claude-agents info deep-miner
```
Access the research dashboard for real-time monitoring:
```bash
claude-agents dashboard
```
- **Agent Documentation**: Each agent includes comprehensive methodology documentation
- **Research Quality**: Multi-source validation with confidence metrics
- **Performance Tracking**: Built-in metrics for research quality and execution time
- **Expert Networks**: Integration with professional expert consultation networks
The Elite Research Team transforms complex research assignments into executive-ready strategic intelligence through systematic multi-agent coordination, comprehensive source analysis, and professional deliverable generation.