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Research Expert

The Research Expert agent specializes in technology research, technical evaluation, prototyping, and making informed technology decisions.

Expertise Areas#

  • Technology Evaluation - Systematic tool and library assessment
  • Comparison Analysis - Side-by-side technology comparisons
  • Proof of Concept - Structured POC planning and execution
  • Research Documentation - Clear findings and recommendations
  • Technology Radar - Tracking adoption readiness
  • Benchmarking - Performance comparison testing
  • Decision Frameworks - Structured decision-making

Usage Examples#

Technology Evaluation#

Use the research-expert agent to evaluate database options for a high-traffic SaaS application.

Response includes:

  • Evaluation criteria
  • Comparison matrix
  • Benchmark results
  • Recommendation

POC Planning#

Use the research-expert agent to plan a proof of concept for implementing real-time features with WebSockets.

Response includes:

  • POC scope and objectives
  • Success criteria
  • Timeline and resources
  • Decision framework

Research Documentation#

Use the research-expert agent to document findings from evaluating CI/CD platforms.

Response includes:

  • Executive summary
  • Detailed analysis
  • Comparison tables
  • Clear recommendation

Best Practices Applied#

1. Evaluation Process#

  • Define clear criteria
  • Weight by importance
  • Test thoroughly
  • Document findings

2. Objectivity#

  • Multiple perspectives
  • Quantitative metrics
  • Reproducible tests
  • Transparent methodology

3. Decision Making#

  • Risk assessment
  • Long-term viability
  • Team capability
  • Migration paths

4. Documentation#

  • Executive summaries
  • Detailed appendices
  • Clear recommendations
  • Action items

Common Patterns#

Technology Evaluation Framework#

1## Evaluation Criteria 2 3### Technical Fit (40%) 4- [ ] Solves the core problem 5- [ ] Compatible with current stack 6- [ ] Scalability potential 7- [ ] Performance characteristics 8- [ ] Security posture 9 10### Developer Experience (25%) 11- [ ] Documentation quality 12- [ ] Learning curve 13- [ ] Debugging experience 14- [ ] IDE/tooling support 15- [ ] Error messages clarity 16 17### Ecosystem (20%) 18- [ ] Community size and activity 19- [ ] Third-party integrations 20- [ ] Plugin/extension ecosystem 21- [ ] Stack Overflow presence 22- [ ] GitHub activity 23 24### Business Viability (15%) 25- [ ] Company/maintainer stability 26- [ ] Licensing terms 27- [ ] Pricing (if applicable) 28- [ ] Support options 29- [ ] Longevity outlook

Comparison Matrix#

1## Technology Comparison: [Category] 2 3| Criteria | Option A | Option B | Option C | 4|----------|----------|----------|----------| 5| **Technical** | 6| Performance | 5/5 | 4/5 | 3/5 | 7| Scalability | 4/5 | 5/5 | 3/5 | 8| Security | 4/5 | 3/5 | 4/5 | 9| **DX** | 10| Documentation | 5/5 | 3/5 | 4/5 | 11| Learning curve | Easy | Moderate | Hard | 12| **Ecosystem** | 13| Community | Large | Medium | Small | 14| GitHub stars | 50K | 25K | 10K | 15| **Business** | 16| Pricing | Free | Freemium | Paid | 17| License | MIT | Apache | Commercial | 18 19### Recommendation 20[Your recommendation with rationale]

POC Plan Template#

1## POC Plan: [Technology/Approach] 2 3### Objective 4What are we trying to learn/validate? 5 6### Scope 7- In scope: [List] 8- Out of scope: [List] 9 10### Success Criteria 11- [ ] Criterion 1: [Measurable outcome] 12- [ ] Criterion 2: [Measurable outcome] 13- [ ] Criterion 3: [Measurable outcome] 14 15### Timeline 16| Phase | Duration | Activities | 17|-------|----------|------------| 18| Setup | 1 day | Environment, dependencies | 19| Build | 2-3 days | Core functionality | 20| Test | 1 day | Performance, edge cases | 21| Document | 0.5 day | Findings, decision | 22 23### Decision Framework 24- GO if: [Criteria met] 25- NO-GO if: [Criteria failed] 26- PIVOT if: [Partial success]

Benchmarking Template#

1## Performance Benchmark: [Subject] 2 3### Test Environment 4- Hardware: [Specs] 5- OS: [Version] 6- Runtime: [Node/Bun version] 7 8### Methodology 9- Tool used: [k6, wrk, etc.] 10- Duration: [X minutes] 11- Concurrent users: [N] 12 13### Results 14 15| Metric | Option A | Option B | Delta | 16|--------|----------|----------|-------| 17| Requests/sec | 1,500 | 2,100 | +40% | 18| P50 latency | 45ms | 32ms | -29% | 19| P99 latency | 120ms | 85ms | -29% | 20| Memory | 512MB | 380MB | -26% | 21 22### Conclusion 23[Recommendation based on findings]

Sample Prompts#

TaskPrompt
Evaluation"Evaluate state management libraries for a React application"
Comparison"Compare Vercel vs Railway for deployment"
POC"Plan a POC for implementing GraphQL"
Benchmark"Benchmark Prisma vs Drizzle ORM performance"
Decision"Document decision for choosing authentication provider"

Configuration#

1// bootspring.config.js 2module.exports = { 3 agents: { 4 customInstructions: { 5 'research-expert': ` 6 - Use structured evaluation frameworks 7 - Include quantitative benchmarks 8 - Document all findings clearly 9 - Provide actionable recommendations 10 - Consider long-term implications 11 `, 12 }, 13 }, 14 research: { 15 documentationFormat: 'markdown', 16 includeComparisons: true, 17 }, 18};

Related Agents#