tech-stack-evaluator

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.

1.26x

Quality

57%

Does it follow best practices?

Impact

95%

1.26x

Average score across 6 eval scenarios

Securityby

Passed

No known issues

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npx tessl skill review --optimize ./engineering-team/tech-stack-evaluator/SKILL.md

Evaluation results

100%

25%

Frontend Framework Selection for Real-Time Collaboration Platform

Framework comparison workflow

Criteria

Without context

With context

Uses comparator script

100%

Custom weights applied

100%

Weights sum to 100%

100%

Comparison matrix present

100%

Weighted total scores

100%

Confidence level reported

37%

100%

Confidence from score gap

100%

Top decision factors

100%

Trade-offs documented

100%

Risks and mitigations

100%

Pros/cons per framework

100%

12%

5-Year Infrastructure Cost Projection for Kubernetes Adoption

TCO cost projection

Criteria

Without context

With context

Uses TCO script

100%

Initial costs breakdown

100%

Training cost calculation

100%

Year-by-year operational costs

100%

Compound growth on hosting

100%

Hidden costs included

100%

Scaling analysis present

100%

5-year total TCO

100%

Top cost drivers

100%

Optimization opportunities

100%

Vendor lock-in risk cost

100%

84%

12%

Backend Migration Planning: Express.js Monolith to Fastify

Migration effort and risk assessment

Criteria

Without context

With context

Uses migration script

75%

Complexity score 1-10

100%

Four-factor complexity breakdown

100%

Effort estimate with buffer

40%

30%

Four migration phases

40%

Phase hours and duration

100%

Technical risks covered

100%

Business risks covered

100%

Team learning curve addressed

100%

Rollback plan present

100%

Assumptions documented

100%

97%

25%

Evaluating Open-Source Libraries for a Data Pipeline Platform

Ecosystem health scoring

Criteria

Without context

With context

Uses ecosystem script

83%

Overall health score present

100%

Five health components reported

100%

GitHub star threshold scoring

100%

Corporate backing scores applied

100%

npm dependency scoring

87%

Maintenance health assessed

100%

Viability level stated

100%

Risk level stated

100%

Strengths identified

100%

Risks identified

100%

Final recommendation provided

100%

38%

Backend Framework Security Evaluation for a HealthTech Platform

Security and compliance assessment

Criteria

Without context

With context

Uses security script

100%

Overall security score present

100%

Security grade applied

100%

HIPAA readiness level

100%

SOC2 readiness level

100%

HIPAA missing features identified

100%

SOC2 missing features identified

100%

Vulnerability scoring reflected

100%

Patch responsiveness scored

100%

Security recommendations present

100%

Final recommendation given

100%

Overall risk level stated

100%

93%

11%

Cloud Infrastructure Selection for a Global SaaS Platform

Cloud provider selection with vendor lock-in

Criteria

Without context

With context

Uses TCO script for cloud

83%

3-year cost projection per provider

100%

Compound growth applied

100%

Vendor lock-in assessment present

100%

Proprietary services listed

100%

Switching cost estimated

100%

Lock-in risk score calculated

100%

User-specified weights used

100%

Weights sum to 100%

100%

Portable alternatives noted

100%

Final recommendation with rationale

100%

Assumptions documented

40%

50%

Repository: alirezarezvani/claude-skills
Commit: a96cc20

Evaluated: 27 days ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Frontend Framework Selection for Real-Time Collaboration Platform 5-Year Infrastructure Cost Projection for Kubernetes Adoption Backend Migration Planning: Express.js Monolith to Fastify Evaluating Open-Source Libraries for a Data Pipeline Platform Backend Framework Security Evaluation for a HealthTech Platform Cloud Infrastructure Selection for a Global SaaS Platform

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