tech-stack-evaluator

SKILL.md

Technology Stack Evaluator

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

Table of Contents

Capabilities

Quick Start

Input Formats

Analysis Types

Scripts

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

comparison:
  technologies: ["React", "Vue"]
  use_case: "SaaS dashboard"
  weights:
    ecosystem: 30
    performance: 25
    developer_experience: 45

JSON - Programmatic integration

{
  "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.

python scripts/stack_comparator.py --help

tco_calculator.py

Calculate total cost of ownership over multi-year projections.

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

ecosystem_analyzer.py

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

python scripts/ecosystem_analyzer.py --technology react

security_assessor.py

Evaluate security posture and compliance readiness.

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

migration_analyzer.py

Estimate migration complexity, effort, and risks.

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)