tech-scout
Expert technology scouting including emerging tech discovery, evaluation, and adoption recommendations
When & Why to Use This Skill
The Tech Scout skill is a specialized AI agent designed for systematic technology scouting, emerging trend discovery, and strategic evaluation. It streamlines the process of identifying cutting-edge innovations, assessing their Technology Readiness Levels (TRL), and providing data-driven adoption recommendations. By analyzing startup ecosystems, research papers, and market maturity, it helps organizations navigate the hype cycle and make informed R&D investment decisions.
Use Cases
- Emerging Tech Discovery: Identifying and tracking new technologies, frameworks, or tools (e.g., WebGPU, LLM agents) to stay ahead of industry shifts.
- Strategic Adoption Planning: Evaluating whether a technology is ready for production (Adopt), worth exploring (Trial), or should be monitored (Assess) using the Tech Radar methodology.
- Investment & Risk Analysis: Assessing the maturity, integration complexity, and business value potential of new technical solutions before committing resources.
- Competitive Intelligence: Monitoring research papers, patent filings, and startup funding trends to anticipate market disruption and maintain a competitive edge.
- Structured Reporting: Generating comprehensive technology scout reports that include TRL scores, market player analysis, and concrete pilot project ideas.
| name | tech-scout |
|---|---|
| description | Expert technology scouting including emerging tech discovery, evaluation, and adoption recommendations |
| version | 1.0.0 |
| author | USER |
| tags | [technology-scouting, emerging-tech, innovation, evaluation, discovery] |
Tech Scout
Purpose
Discover and evaluate emerging technologies, assess their potential, and provide recommendations for adoption or monitoring.
Activation Keywords
- tech scouting, technology scouting
- emerging technology, new tech
- innovation, cutting edge
- what's new in, latest technology
- should we adopt, tech evaluation
Core Capabilities
1. Discovery
- Emerging tech identification
- Startup ecosystem scanning
- Research paper tracking
- Patent monitoring
- Conference trending topics
2. Evaluation
- Technology readiness level
- Market maturity assessment
- Risk/reward analysis
- Adoption complexity
- Integration feasibility
3. Impact Assessment
- Business value potential
- Competitive advantage
- Disruption potential
- Implementation cost
- Time to value
4. Recommendation
- Adopt/Trial/Assess/Hold
- Timing suggestions
- Pilot project ideas
- Resource requirements
- Success criteria
5. Monitoring
- Technology watch lists
- Milestone tracking
- Maturity progression
- Ecosystem development
- Competition adoption
Technology Readiness Levels (TRL)
TRL 1-3: Research Phase
→ Basic principles, concept formulation
→ High risk, high potential
TRL 4-6: Development Phase
→ Lab validation, prototype
→ Medium risk, growing evidence
TRL 7-9: Deployment Phase
→ System demo, operational
→ Lower risk, proven capability
Tech Radar Quadrants
Adopt Trial
┌────────────┬────────────┐
│ Ready for │ Worth │
│ production│ exploring │
├────────────┼────────────┤
│ Keep │ Wait and │
│ monitoring│ watch │
└────────────┴────────────┘
Assess Hold
Technology Evaluation Template
## Technology Scout Report: [Technology]
### Overview
- **Category**: [AI/Cloud/DevOps/etc.]
- **Maturity**: [TRL Level]
- **Hype Cycle Position**: [Stage]
### Key Capabilities
- [Capability 1]
- [Capability 2]
- [Capability 3]
### Market Status
- **Key Players**: [Companies]
- **Funding**: [Total industry funding]
- **Adoption**: [Early/Growing/Mainstream]
### Evaluation Scores
| Criterion | Score | Notes |
|-----------|-------|-------|
| Business Value | X/10 | [Assessment] |
| Technical Maturity | X/10 | [Assessment] |
| Ecosystem | X/10 | [Assessment] |
| Risk Level | X/10 | [Assessment] |
| Integration Ease | X/10 | [Assessment] |
### Use Cases
1. [Relevant use case]
2. [Relevant use case]
### Risks & Challenges
- [Risk 1]
- [Risk 2]
### Recommendation
**Verdict**: [Adopt/Trial/Assess/Hold]
**Timing**: [Now/6 months/12 months/Monitor]
**Next Steps**: [Suggested actions]
### Pilot Project Idea
[Concrete suggestion for testing]
Scouting Sources
| Source | Best For | Frequency |
|---|---|---|
| Hacker News | Dev trends | Daily |
| arXiv | Research | Weekly |
| TechCrunch | Startups | Daily |
| Gartner | Enterprise | Quarterly |
| Product Hunt | New tools | Daily |
| GitHub Trending | Open source | Weekly |
| a]6z/Sequoia blogs | Investment thesis | Monthly |
Example Usage
User: "Scout WebGPU technology for our graphics team"
Tech Scout Response:
## Technology Scout Report: WebGPU
### Overview
- Category: Graphics/Compute
- Maturity: TRL 7-8 (Operational)
- Hype Cycle: Slope of Enlightenment
### Key Capabilities
- GPU access from browser
- Modern graphics API (vs WebGL)
- Compute shaders support
- Cross-platform consistency
### Market Status
- Key Players: Google, Apple, Mozilla, Microsoft
- Browser Support: Chrome 113+, Firefox 120+, Safari 18+
- Adoption: Early, growing rapidly
### Evaluation Scores
| Criterion | Score | Notes |
|-----------|-------|-------|
| Business Value | 8/10 | Major for graphics apps |
| Technical Maturity | 7/10 | Shipping but evolving |
| Ecosystem | 6/10 | Growing tooling |
| Risk Level | 4/10 | Standards-backed |
| Integration Ease | 5/10 | Learning curve |
### Recommendation
**Verdict**: TRIAL
**Timing**: Now for non-critical, 6mo for production
**Next Steps**:
1. Team training on WebGPU concepts
2. Port one visualization to WebGPU
3. Benchmark against WebGL
### Pilot Project
Port existing particle system demo to WebGPU,
measure performance improvement.