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tech-stack-evaluation技术栈评估

Agent Skill

tech-stack-evaluation 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

1,248

周安装

51

GitHub Stars

4

下载量

306
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:tech-stack-evaluation(技术栈评估)
来源仓库:https://github.com/eyadsibai/ltk
仓库路径:skills/tech-stack-evaluation
安装命令:
npx skills add https://github.com/eyadsibai/ltk --skill tech-stack-evaluation
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/eyadsibai/ltk --skill tech-stack-evaluation

简介

用于技术方案的调研、评估和相关信息筛选。

  • 适合比较不同框架、工具链的适用场景。tech-stack-evaluation 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 可基于性能指标和社区活跃度提供参考。
  • 使用前请确认是否依赖外部技术数据库。
  • 建议结合具体业务需求判断推荐合理性。

SKILL.md

Tech Stack Evaluation Guide

Framework for making technology decisions.

When to Use

  • Choosing between frameworks/libraries
  • Evaluating cloud providers
  • Making build vs buy decisions
  • Planning technology migrations
  • Standardizing tech stack

Evaluation Framework

Decision Matrix

FactorWeightOption AOption BOption C
Team Experience20%ScoreScoreScore
Community/Support15%ScoreScoreScore
Performance15%ScoreScoreScore
Scalability15%ScoreScoreScore
Cost (TCO)15%ScoreScoreScore
Integration10%ScoreScoreScore
Security10%ScoreScoreScore

Scoring Guide

ScoreMeaning
5Excellent, best in class
4Good, above average
3Adequate, meets needs
2Below average, concerns
1Poor, significant issues

Common Comparisons

Frontend Frameworks

FactorReactVueAngular
Learning CurveMediumLowHigh
EcosystemLargeMediumLarge
PerformanceGoodGoodGood
EnterpriseYesGrowingYes
Job MarketLargestGrowingStrong

Backend Languages

FactorNode.jsPythonGoJava
PerformanceGoodMediumExcellentGood
EcosystemLargeLargeGrowingLarge
LearningEasyEasyMediumHard
ConcurrencyEvent-loopAsyncNativeThreads

Databases

FactorPostgreSQLMySQLMongoDBDynamoDB
TypeRelationalRelationalDocumentKey-Value
ScalabilityVerticalVerticalHorizontalHorizontal
SchemaStrictStrictFlexibleFlexible
CostFreeFreeFree/PaidUsage

Cloud Providers

FactorAWSGCPAzure
Market ShareLargestGrowingSecond
ServicesMost completeStrong ML/DataEnterprise
PricingComplexSimplerComplex
Free Tier12 monthsAlways free12 months

Evaluation Process

Step 1: Define Requirements

## Requirements
- Scale: [Expected users/requests]
- Performance: [Latency requirements]
- Budget: [Monthly/yearly budget]
- Team: [Current skills and size]
- Timeline: [Implementation deadline]

Step 2: Identify Options

Research 3-5 viable options:

  • Current market leaders
  • Rising alternatives
  • Team-familiar options

Step 3: Proof of Concept

Build minimal POC for top 2-3 options:

  • Core functionality
  • Integration test
  • Performance benchmark

Step 4: Total Cost Analysis

Cost TypeOption AOption B
Licensing$$
Infrastructure$$
Development$$
Training$$
Maintenance$$
Total (3 yr)$$

Step 5: Risk Assessment

RiskOption AOption B
Vendor lock-inLow/Med/High
Technology obsolescence
Skill availability
Security concerns

Build vs Buy

Build When

  • Core competitive advantage
  • Unique requirements
  • Long-term cost savings
  • Team has expertise

Buy When

  • Commodity functionality
  • Time to market critical
  • Ongoing maintenance burden
  • Industry standard exists

Decision Tree

Is it core to your business?
├── Yes → Does expertise exist?
│   ├── Yes → Build
│   └── No → Buy (for now)
└── No → Buy or use open source

Migration Planning

Migration Phases

  1. Assessment - Current state analysis
  2. Planning - Target architecture
  3. Preparation - Team training, tooling
  4. Migration - Incremental rollout
  5. Validation - Testing, monitoring
  6. Cutover - Final switch
  7. Optimization - Post-migration tuning

Risk Mitigation

  • Run parallel systems
  • Feature flags for rollback
  • Comprehensive testing
  • Staged rollout
  • Clear rollback plan

Documentation Template

# Technology Decision: [Name]

## Context
Why are we making this decision?

## Options Considered
1. [Option A] - Pros/Cons
2. [Option B] - Pros/Cons
3. [Option C] - Pros/Cons

## Decision
We chose [Option] because...

## Consequences
- Positive: [List]
- Negative: [List]

## Implementation Plan
- Phase 1: [Action]
- Phase 2: [Action]

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.63%
按下载量换算106

Claude

32.48%
按下载量换算99

Cursor

17.67%
按下载量换算54

Gemini CLI

9.28%
按下载量换算28

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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