---
name: tech-stack-evaluator-4bc1f2b465bc
description: Technology stack evaluation and comparison with TCO analysis, security assessment, and ecosystem health scoring. Use when comparing frameworks, evaluating technology stacks, calculating total cost of ownership, assessing migration paths, or analyzing ecosystem viability.
---

# Technology Stack Evaluator

Evaluate and compare technologies, frameworks, and cloud providers with data-driven analysis and actionable recommendations.

## Table of Contents

- [Capabilities](#capabilities)
- [Quick Start](#quick-start)
- [Input Formats](#input-formats)
- [Analysis Types](#analysis-types)
- [Scripts](#scripts)
- [References](#references)

---

## Capabilities

| Capability | Description |
|------------|-------------|
| Technology Comparison | Compare frameworks and libraries with weighted scoring |
| TCO Analysis | Calculate 5-year total cost including hidden costs |
| Ecosystem Health | Assess GitHub metrics, npm adoption, community strength |
| Security Assessment | Evaluate vulnerabilities and compliance readiness |
| Migration Analysis | Estimate effort, risks, and timeline for migrations |
| Cloud Comparison | Compare AWS, Azure, GCP for specific workloads |

---

## Quick Start

### Compare Two Technologies

```
Compare React vs Vue for a SaaS dashboard.
Priorities: developer productivity (40%), ecosystem (30%), performance (30%).
```

### Calculate TCO

```
Calculate 5-year TCO for Next.js on Vercel.
Team: 8 developers. Hosting: $2500/month. Growth: 40%/year.
```

### Assess Migration

```
Evaluate migrating from Angular.js to React.
Codebase: 50,000 lines, 200 components. Team: 6 developers.
```

---

## Input Formats

The evaluator accepts three input formats:

**Text** - Natural language queries
```
Compare PostgreSQL vs MongoDB for our e-commerce platform.
```

**YAML** - Structured input for automation
```yaml
comparison:
  technologies: ["React", "Vue"]
  use_case: "SaaS dashboard"
  weights:
    ecosystem: 30
    performance: 25
    developer_experience: 45
```

**JSON** - Programmatic integration
```json
{
  "technologies": ["React", "Vue"],
  "use_case": "SaaS dashboard"
}
```

---

## Analysis Types

### Quick Comparison (200-300 tokens)
- Weighted scores and recommendation
- Top 3 decision factors
- Confidence level

### Standard Analysis (500-800 tokens)
- Comparison matrix
- TCO overview
- Security summary

### Full Report (1200-1500 tokens)
- All metrics and calculations
- Migration analysis
- Detailed recommendations

---

## Scripts

### stack_comparator.py

Compare technologies with customizable weighted criteria.

```bash
python scripts/stack_comparator.py --help
```

### tco_calculator.py

Calculate total cost of ownership over multi-year projections.

```bash
python scripts/tco_calculator.py --input assets/sample_input_tco.json
```

### ecosystem_analyzer.py

Analyze ecosystem health from GitHub, npm, and community metrics.

```bash
python scripts/ecosystem_analyzer.py --technology react
```

### security_assessor.py

Evaluate security posture and compliance readiness.

```bash
python scripts/security_assessor.py --technology express --compliance soc2,gdpr
```

### migration_analyzer.py

Estimate migration complexity, effort, and risks.

```bash
python scripts/migration_analyzer.py --from angular-1.x --to react
```

---

## References

| Document | Content |
|----------|---------|
| `references/metrics.md` | Detailed scoring algorithms and calculation formulas |
| `references/examples.md` | Input/output examples for all analysis types |
| `references/workflows.md` | Step-by-step evaluation workflows |

---

## Confidence Levels

| Level | Score | Interpretation |
|-------|-------|----------------|
| High | 80-100% | Clear winner, strong data |
| Medium | 50-79% | Trade-offs present, moderate uncertainty |
| Low | < 50% | Close call, limited data |

---

## When to Use

- Comparing frontend/backend frameworks for new projects
- Evaluating cloud providers for specific workloads
- Planning technology migrations with risk assessment
- Calculating build vs. buy decisions with TCO
- Assessing open-source library viability

## When NOT to Use

- Trivial decisions between similar tools (use team preference)
- Mandated technology choices (decision already made)
- Emergency production issues (use monitoring tools)


---
Source attribution: 420company
Original project: https://github.com/420company/artemis/blob/6fcd9f8e3045e30712e24a177f6d8d63d06cbb5d/skills/tech-stack-evaluator/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026 420.COMPANY

This software is open source and free for everyone.
Fork it. Improve it. Make it yours.
Pull requests, ideas, and contributions are always welcome.

https://github.com/420company/artemis

---

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: 420company
Original project: https://github.com/420company/artemis/blob/6fcd9f8e3045e30712e24a177f6d8d63d06cbb5d/skills/tech-stack-evaluator/SKILL.md
Attribution basis: Source repository record

Fields of work: Data & Analytics, Marketing, Product Management
Roles: Data Analyst, Growth Product Manager, Marketing Analyst, Product Manager, Technical Product Manager
Specialties: API, Backend
Tools: AWS, Azure, GCP, GitHub, Python
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 9e861800cba61d723df648910c37de71b3d0703d82e1eb66fd35f899a5acaea3