tech-stack-evaluator_skill

This skill evaluates technology stacks with TCO, security, and migration insights to help teams choose optimal solutions.
  • Python

1.4k

GitHub Stars

14

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill alirezarezvani/claude-skills --skill tech-stack-evaluator

  • ecosystem_analyzer.py16.1 KB
  • expected_output_comparison.json1.9 KB
  • format_detector.py12.3 KB
  • HOW_TO_USE.md9.0 KB
  • migration_analyzer.py20.1 KB
  • README.md18.8 KB
  • report_generator.py15.5 KB
  • sample_input_structured.json1.1 KB
  • sample_input_tco.json1.1 KB
  • sample_input_text.json237 B
  • security_assessor.py17.3 KB
  • SKILL.md14.6 KB
  • stack_comparator.py12.1 KB
  • tco_calculator.py15.8 KB

Overview

This skill provides a comprehensive technology stack evaluation and comparison tool tailored for engineering teams making architecture or vendor decisions. It delivers data-driven recommendations including TCO analysis, security and compliance assessments, ecosystem health scoring, and migration planning. The output adapts to the requested depth, from quick comparisons to full, actionable decision reports.

How this skill works

The evaluator ingests conversational text, YAML/JSON structured requests, or repository and package URLs to fetch ecosystem and security data. It runs modular analyses — scoring matrices, TCO projections, vulnerability checks, migration complexity, and performance benchmarks — then composes an executive summary and detailed sections on demand. Users choose quick, standard, comprehensive, or custom scopes and can weight decision criteria to reflect priorities.

When to use it

  • Choosing between frameworks, databases, or cloud providers for a new project
  • Assessing total cost of ownership for platform or cloud migration decisions
  • Evaluating security and compliance readiness for GDPR, SOC2, HIPAA, or PCI
  • Planning a migration from legacy systems to modern stacks
  • Comparing ecosystem health and long-term viability of open-source technologies

Best practices

  • Define a clear use case, constraints, and weighted priorities before analysis
  • Provide team size, existing stack, growth projections, and budget assumptions
  • Include URLs for repos or packages to improve ecosystem and health scoring
  • Validate and document all TCO assumptions and scaling projections
  • Plan incremental migrations with prototypes and rollback strategies

Example use cases

  • Compare React vs Vue for a SaaS dashboard with priorities on developer productivity and ecosystem maturity
  • Calculate 5-year TCO for AWS vs Azure for a 50-instance, 10TB workload
  • Assess security posture of Express.js + MongoDB stack for SOC2 compliance
  • Estimate migration effort from MongoDB to PostgreSQL including data transformation risks
  • Produce a decision matrix for Next.js, Nuxt.js, and Svelte for a large enterprise team

FAQ

Text, YAML, JSON, and repository or package URLs are all supported; the tool auto-detects format and extracts context.

How accurate are TCO and benchmark numbers?

TCO and benchmarks are estimates based on provided assumptions and available market data; validate assumptions and adapt projections to your environment.

Can it assess compliance readiness?

Yes — it scores GDPR, SOC2, HIPAA, and PCI readiness against known controls, but vendor claims should be independently verified.

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tech-stack-evaluator skill by alirezarezvani/claude-skills | VeilStrat