tech-stack-evaluator
Scannednpx machina-cli add skill alirezarezvani/claude-skills/tech-stack-evaluator --openclawTechnology Stack Evaluator
Evaluate and compare technologies, frameworks, and cloud providers with data-driven analysis and actionable recommendations.
Table of Contents
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)
Source
git clone https://github.com/alirezarezvani/claude-skills/blob/main/engineering-team/tech-stack-evaluator/SKILL.mdView on GitHub Overview
The Tech Stack Evaluator performs data-driven comparisons of technologies, frameworks, and cloud providers. It combines TCO, security, and ecosystem metrics to deliver actionable recommendations for migration, platform selection, and lifecycle viability.
How This Skill Works
Feed the tool with inputs in Text, YAML, or JSON to define technologies, use cases, and weights. Run specialized scripts (e.g., stack_comparator.py, tco_calculator.py, ecosystem_analyzer.py, security_assessor.py, migration_analyzer.py) to generate Quick, Standard, or Full analyses with weighted scores, TCO over multi-year horizons, security posture, and migration risk.
When to Use It
- Comparing frontend or backend frameworks for a new project
- Evaluating cloud providers for a specific workload
- Calculating five-year total cost of ownership for a technology stack
- Estimating migration effort, risks, and timeline from one framework to another
- Analyzing ecosystem health via GitHub, npm adoption, and community metrics
Quick Start
- Step 1: Define technologies, use case, and weights (or load a YAML/JSON input)
- Step 2: Run the relevant scripts (stack_comparator.py, tco_calculator.py, ecosystem_analyzer.py, security_assessor.py, migration_analyzer.py)
- Step 3: Review the results and choose the recommended stack based on balance of cost, security, and ecosystem health
Best Practices
- Define clear evaluation criteria and attach weights before running analyses
- Use standardized input formats (Text, YAML, JSON) for reproducibility
- Run multiple scenarios to surface trade-offs between cost and performance
- Include security and migration metrics in the final decision
- Validate data sources and update metrics regularly for accuracy
Example Use Cases
- Compare React vs Vue for a SaaS dashboard with weights for developer productivity, ecosystem, and performance
- Calculate 5-year TCO for Next.js on Vercel with 8 developers and $2500/month hosting
- Assess migrating from Angular.js to React for a 50,000-line codebase and a 6-person team
- Evaluate AWS vs Azure vs GCP for a data analytics workload
- Perform security posture assessment for an Express API with SOC 2 and GDPR compliance checks
