Skill Introduction

Overview

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.

Core value

Turns reusable Development know-how into an installable skill, helping users complete github, community work faster.

Target users

Developers, testers, and maintainers who handle Development tasks in Focus Code.
Teams that already trust workflows or content from alirezarezvani.
Users who want standardized prompts, steps, or conventions instead of repeating setup work.

Best practices

Read the skill content first to confirm required inputs, expected outputs, and dependencies.
Try it on a small task before relying on it for critical work.
Add project-specific constraints such as coding style, target platform, test expectations, and delivery format.
For external sources, verify the source link, version, and recent maintenance activity.

Best use cases

Tasks related to github, community that need a reusable execution flow.
Converting a community repo, team convention, or personal workflow into day-to-day assistance.
Starting from a proven skill instead of writing prompts or procedures from scratch.

Limits and boundaries

Results depend on the quality of the original skill content and may need human correction.
It does not replace code review, tests, security review, or professional judgment.
External tools, APIs, account permissions, and local dependencies still need separate setup.

Differentiation

Structured around Development, making it easier to discover and reuse than loose prompt snippets.
Marked as GitHub, which helps users judge trust and maintenance expectations.
Keeps the original source link available for repository, documentation, or discussion follow-up.
Tagged with github, community, so it can be filtered by concrete task intent.

Install and use

Install

Copy Install Command

focus install tech-stack-evaluator-1bcb64

View source

Detail Preview

SKILL.md

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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.

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)

tech stack evaluator