tech-stack-evaluator
Evaluates technology stacks by analyzing cost of ownership, security, and ecosystem stability.
Install
mkdir -p .claude/skills/tech-stack-evaluator && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/8492" && unzip -o skill.zip -d .claude/skills/tech-stack-evaluator && rm skill.zipInstalls to .claude/skills/tech-stack-evaluator
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
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.Key capabilities
- →Compare frameworks and libraries using weighted scoring
- →Calculate 5-year total cost of ownership
- →Assess ecosystem health via GitHub and npm metrics
- →Evaluate security vulnerabilities and compliance
- →Estimate migration effort and risks
How it works
The evaluator processes inputs through specialized scripts to perform weighted comparisons, TCO projections, and ecosystem health assessments. It provides analysis ranging from quick summaries to full reports based on the requested depth.
Inputs & outputs
When to use tech-stack-evaluator
- →Comparing framework options
- →Evaluating migration paths
- →Calculating TCO for new tech
About this skill
Technology 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)
When not to use it
- →Trivial decisions between similar tools
- →Mandated technology choices
- →Emergency production issues
Limitations
- →Confidence levels depend on data availability
- →Requires specific input formats for programmatic integration
How it compares
It replaces manual research with data-driven scoring and standardized TCO calculations for technology stacks.
Compared to similar skills
tech-stack-evaluator side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| tech-stack-evaluator (this skill) | 0 | 3mo | Review | Beginner |
| tech-decision | 1 | 7mo | No flags | Intermediate |
| ito-research | 0 | 2mo | Review | Beginner |
| graph-thinking | 0 | 3mo | No flags | Advanced |
Try saying
Example prompts that trigger this skill in your AI assistant.
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