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toolweb-cloud-service-mapper-decision-advisortoolweb 云服务映射器决策顾问

Agent Skill

toolweb-cloud-service-mapper-decision-advisor 用于查找、检索和筛选相关信息,适合在 OpenClaw 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

2,728

周安装

116

GitHub Stars

公开资料未说明

下载量

956
OpenClaw

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

MIT-0

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:toolweb-cloud-service-mapper-decision-advisor(toolweb 云服务映射器决策顾问)
来源仓库:https://github.com/krishnakumarmahadevan-cmd/toolweb-cloud-service-mapper-decision-advisor
安装命令:
openclaw skills install toolweb-cloud-service-mapper-decision-advisor
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install toolweb-cloud-service-mapper-decision-advisor

简介

跨 Azure、AWS 和 Google Cloud 的 AI 支持的云服务映射和提供商推荐。

SKILL.md

name
Multi-Cloud Service Mapper & Decision Advisor
description
AI-powered cloud service mapping and provider recommendation across Azure, AWS, and Google Cloud.

Overview

The Multi-Cloud Service Mapper & Decision Advisor is an intelligent API that analyzes workload requirements and recommends optimal cloud services and providers. Built for organizations evaluating multi-cloud strategies, this tool uses AI to map business needs to Azure, AWS, and Google Cloud offerings—helping teams make data-driven infrastructure decisions.

Key capabilities include workload analysis with custom priorities, service category discovery, and provider metadata retrieval. The API considers team size, industry context, current cloud environment, and business priorities to deliver tailored recommendations. Ideal for cloud architects, DevOps teams, and organizations undergoing cloud migration or multi-cloud transformation initiatives.

Whether you're migrating from on-premises infrastructure, evaluating a second cloud platform, or optimizing service selection across providers, this tool reduces analysis time and ensures alignment with organizational constraints and goals.

Usage

Request: Analyze a microservices workload running on Kubernetes with cost and performance priorities.

{
  "workload_description": "Kubernetes-based microservices platform handling 10,000 requests per second with relational and NoSQL data stores",
  "selected_services": ["container-orchestration", "database", "api-gateway"],
  "current_cloud": "AWS",
  "priorities": ["cost-optimization", "performance", "security"],
  "team_size": "12",
  "industry": "fintech",
  "sessionId": "sess_12345abcde",
  "userId": 1001,
  "timestamp": "2025-01-15T14:30:00Z"
}

Response:

{
  "analysis_id": "analysis_67890xyz",
  "workload_summary": {
    "description": "Kubernetes-based microservices platform handling 10,000 requests per second with relational and NoSQL data stores",
    "services_analyzed": 3,
    "priorities_considered": 3
  },
  "recommendations": [
    {
      "provider": "AWS",
      "primary_services": [
        {
          "service_name": "EKS",
          "category": "container-orchestration",
          "rationale": "Native Kubernetes service with deep AWS integration and cost optimization tools",
          "confidence_score": 0.95
        },
        {
          "service_name": "RDS + DynamoDB",
          "category": "database",
          "rationale": "Relational and NoSQL hybrid approach with managed scaling",
          "confidence_score": 0.92
        }
      ],
      "overall_match_score": 0.94
    },
    {
      "provider": "Google Cloud",
      "primary_services": [
        {
          "service_name": "GKE",
          "category": "container-orchestration",
          "rationale": "Kubernetes-native platform with strong observability",
          "confidence_score": 0.91
        }
      ],
      "overall_match_score": 0.87
    }
  ],
  "decision_factors": {
    "cost_optimization": "AWS and GCP offer sustained-use discounts; GCP has aggressive pricing",
    "performance": "All three providers support low-latency Kubernetes deployments",
    "security": "Fintech compliance (SOC2, ISO27001) supported across all providers"
  },
  "migration_insights": "Migrating from AWS to multi-cloud is low-risk; GCP GKE provides strong alternative"
}

Endpoints

POST /api/cloud-mapper/analyze

Analyze Workload

Generate multi-cloud service mapping and decision analysis for a given workload.

Parameters:

NameTypeRequiredDescription
workload_descriptionstringYesDetailed description of the workload, infrastructure, and technical requirements
selected_servicesarray[string]NoList of cloud service categories to analyze (e.g., "container-orchestration", "database", "api-gateway")
current_cloudstring \nullNoCurrent cloud provider if migrating ("AWS", "Azure", "GCP")
prioritiesarray[string]NoBusiness and technical priorities such as "cost-optimization", "performance", "security", "compliance"
team_sizestring \nullNoTeam size managing the infrastructure (e.g., "5-10", "10-20", "20+")
industrystring \nullNoIndustry vertical (e.g., "fintech", "healthcare", "retail", "manufacturing")
sessionIdstringYesUnique session identifier for tracking and audit purposes
userIdinteger \nullNoUser ID for multi-tenant tracking and personalization
timestampstringYesISO 8601 timestamp of the request

Response: Returns analysis object containing recommendations from each provider with confidence scores, service mappings, decision factors, and migration insights.


GET /api/cloud-mapper/services

Get Services

Retrieve all supported cloud service categories available for analysis.

Parameters: None

Response: Returns array of service categories (e.g., "compute", "container-orchestration", "database", "storage", "networking", "security", "analytics", "ai-ml", "serverless", "api-gateway").


GET /api/cloud-mapper/providers

Get Providers

Retrieve provider metadata including name, region availability, and supported services.

Parameters: None

Response: Returns array of provider objects containing metadata for AWS, Azure, and Google Cloud (name, logo, regions, supported_services, documentation_url).


GET /

Root

Service health check and API metadata endpoint.

Parameters: None

Response: Returns service status and basic API information.

Pricing

PlanCalls/DayCalls/MonthPrice
Free550Free
Developer20500$39/mo
Professional2005,000$99/mo
Enterprise100,0001,000,000$299/mo

About

ToolWeb.in - 200+ security APIs, CISSP & CISM, platforms: Pay-per-run, API Gateway, MCP Server, OpenClaw, RapidAPI, YouTube.

References

  • Kong Route: https://api.toolweb.in/security/servicemapper
  • API Docs: https://api.toolweb.in:8171/docs

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

86.25%
按下载量换算825

安全审计

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可疑

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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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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