tech-stack-evaluator

325 stars 73 forks
0
C

Comprehensive technology stack evaluation and comparison tool with TCO analysis, security assessment, and intelligent recommendations for engineering teams

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#claude-skills-creator#ai-agents#claude-code#claude-ai#metrics#migration#TCO analysis#claude-skills

Third-Party Agent Skill: Review the code before installing. Agent skills execute in your AI assistant's environment and can access your files. Learn more about security

Installation for Agentic Skill

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skilz install alirezarezvani/claude-code-skill-factory/tech-stack-evaluator
skilz install alirezarezvani/claude-code-skill-factory/tech-stack-evaluator --agent opencode
skilz install alirezarezvani/claude-code-skill-factory/tech-stack-evaluator --agent codex
skilz install alirezarezvani/claude-code-skill-factory/tech-stack-evaluator --agent gemini

First time? Install Skilz: pip install skilz

Works with 22+ AI coding assistants

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Download Agent Skill ZIP

Extract and copy to ~/.claude/skills/ then restart Claude Desktop

1. Clone the repository:
git clone https://github.com/alirezarezvani/claude-code-skill-factory
2. Copy the agent skill directory:
cp -r claude-code-skill-factory/generated-skills/tech-stack-evaluator ~/.claude/skills/

Need detailed installation help? Check our platform-specific guides:

Related Agentic Skills

Agentic Skill Details

Stars
325
Forks
73
Type
Technical
Meta-Domain
web api
Primary Domain
security
Market Score
0

Agent Skill Grade

C
Score: 77/100 Click to see breakdown

Score Breakdown

Spec Compliance
11/15
PDA Architecture
18/30
Ease of Use
19/25
Writing Style
7/10
Utility
16/20
Modifiers: +6

Areas to Improve

  • Description needs trigger phrases
  • Single-file architecture
  • Verbose content repetition

Recommendations

  • Address 2 high-severity issues first
  • Add trigger phrases to description for discoverability
  • Add table of contents for files over 100 lines

Graded: 2026-01-24

Developer Feedback

I just looked at how you're handling tech stack evaluation—there's a solid foundation here, but I'm noticing some architectural decisions are holding back what could be a really useful skill. What made you choose to pack everything into a single 430-line file?

Links:

The TL;DR

You're at 77/100, which is solid C-grade territory. This is graded against Anthropic's skill architecture best practices—specifically around token efficiency, layered structure, and spec compliance. Your strongest area is Utility (16/20)—the framework itself is genuinely comprehensive with TCO analysis and security assessment built in. The weakest is Spec Compliance (11/15), mainly because the description lacks trigger phrases that help users discover and activate your skill.

What's Working Well

  • Comprehensive evaluation framework: Your skill actually addresses a real gap. The multi-factor analysis (TCO, security, migration paths, team skill matching) is exactly what teams need when making stack decisions.
  • Clear output structure: You've thoughtfully designed five different report formats (Executive Summary, Detailed Analysis, Comparison Matrix, etc.), which shows you understand different user needs.
  • Good practical constraints: The skill boundaries are explicit—you handle "current popular stacks" and acknowledge limitations around bleeding-edge tech, which is honest and helpful.
  • Solid examples: Your input examples show real scenarios (comparing React vs Vue, migrations from Angular), making it discoverable and immediately useful.

The Big One: Architecture is Fighting You

Your single-file design is the core issue. Everything—metrics calculations, best practices, ...

AI-Detected Topics

Extracted using NLP analysis

claude-skills-creator ai-agents claude-code claude-ai metrics migration TCO analysis claude-skills ai-tools Cost

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