tech-stack-evaluator
Skill1 starsChanged 5 months agoMITView on GitHub
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.
5 other projects use a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- darkweb19/skillsword for word, first seen Nov 8, 2026
- Hassaan146/claude-skillsword for word, first seen Jul 25, 2026
- mahiunfiltered/claude-code-skillsword for word, first seen Jul 8, 2026
- Hussain-Elfalah/Agentic-Skillsedited, first seen Jun 4, 2026
- csiddhant796-blip/claude-skills-collectionword for word, first seen May 10, 2026
Other versions5 projects use a version of this.
Word for word · 4
- Hassaan146/claude-skills★ 18100% same
- csiddhant796-blip/claude-skills-collection★ 2100% same
- mahiunfiltered/claude-code-skills★ 1100% same
- darkweb19/skills★ 0100% same
Edited · 1
- Hussain-Elfalah/Agentic-Skills★ 2100% same
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository84 other files it gives its agents.
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- The first 60 shown.
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 102
All metrics and calculations
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
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: 45JSON - 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 --helptco_calculator.py
Calculate total cost of ownership over multi-year projections.
python scripts/tco_calculator.py --input assets/sample_input_tco.jsonecosystem_analyzer.py
Analyze ecosystem health from GitHub, npm, and community metrics.
python scripts/ecosystem_analyzer.py --technology reactsecurity_assessor.py
Evaluate security posture and compliance readiness.
python scripts/security_assessor.py --technology express --compliance soc2,gdprmigration_analyzer.py
Estimate migration complexity, effort, and risks.
python scripts/migration_analyzer.py --from angular-1.x --to reactReferences
| 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)
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

