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tech-stack-evaluator — Claude Code skill: what it does, how to install

Evaluates frameworks, libraries, and cloud providers with weighted scoring. Calculates five-year TCO and assesses migration risks before project kickoff.

Install into Claude Code · Plugin marketplace All methods and platforms ↓
/plugin marketplace add alirezarezvani/claude-skills
/plugin install engineering-skills@claude-code-skills
Open on GitHub

What tech-stack-evaluator does

The skill evaluates engineering stacks using structured criteria. It produces comparison matrices, tracks GitHub and npm ecosystem health, and inspects SOC 2 or GDPR compliance readiness. It also benchmarks AWS, Azure, and GCP for targeted workloads. Output formats span from quick comparisons around 200-300 tokens to full 1200-1500 token migration reports.

Five Python scripts power the evaluation: stack_comparator.py, tco_calculator.py, ecosystem_analyzer.py, security_assessor.py, and migration_analyzer.py. They calculate multi-year total cost of ownership and project codebase migration effort. You can submit inputs as plain text, YAML, or JSON. Running the scripts locally requires Python.

Use this skill when choosing core foundations or planning major code migrations. If leadership already locked the technical choice or the decision is trivial, skip it.

What it helps with

  • compare frontend or backend frameworks with weighted scores
  • calculate 5-year total cost of ownership including hidden costs
  • estimate migration effort, risks, and timelines
  • compare AWS, Azure, and GCP for specific workloads

Example prompts for the agent

  • Compare React vs Vue for a SaaS dashboard. Priorities: developer productivity (40%), ecosystem (30%), performance (30%).
  • Calculate 5-year TCO for Next.js on Vercel. Team: 8 developers. Hosting: $2500/month. Growth: 40%/year.
  • Evaluate migrating from Angular.js to React. Codebase: 50,000 lines, 200 components. Team: 6 developers.

How to install tech-stack-evaluator

1Plugin marketplace

/plugin marketplace add alirezarezvani/claude-skills
/plugin install engineering-skills@claude-code-skills

This installs the whole engineering-skills plugin with all its skills

2Skills CLI (Vercel)

npx skills add alirezarezvani/claude-skills --skill tech-stack-evaluator -a claude-code

3Manually: put the files in place

~/.claude/skills/tech-stack-evaluator/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/tech-stack-evaluator/

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Similar

Questions about tech-stack-evaluator

How do I install tech-stack-evaluator in Claude Code?

Run /plugin marketplace add alirezarezvani/claude-skills or install via npx with npx skills add alirezarezvani/claude-skills --skill tech-stack-evaluator -a claude-code.

What does tech-stack-evaluator do?

It evaluates technology stacks and cloud providers, computes 5-year TCO projections, and assesses codebase migration complexity.

When should you avoid using tech-stack-evaluator?

Skip it for trivial choices between similar libraries, when stack decisions are already mandated, or during production incidents.

Source text

SKILL.md · MIT
---
name: "tech-stack-evaluator"
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)

© Alireza Rezvani · MIT · alirezarezvani/claude-skills

See also

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