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toolweb-ai-agent-stack-buildertoolweb ai Agent 堆栈构建器

Agent Skill

toolweb-ai-agent-stack-builder 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

3,378

周安装

138

GitHub Stars

公开资料未说明

下载量

1,082
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-ai-agent-stack-builder(toolweb ai Agent 堆栈构建器)
来源仓库:https://github.com/krishnakumarmahadevan-cmd/toolweb-ai-agent-stack-builder
安装命令:
openclaw skills install toolweb-ai-agent-stack-builder
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-ai-agent-stack-builder

简介

toolweb-ai-agent-stack-builder 智能推荐 AI 代理技术堆栈,适配项目需求和团队能力。

  • 适合在 OpenClaw 中辅助架构选型,平衡性能、成本与开发效率。
  • 通过 clawhub 安装后,Agent 可综合约束条件输出候选技术组合及理由说明。
  • 推荐结果应作为参考,最终决策需结合具体业务验证和技术债评估。
  • 适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

SKILL.md

name
AI Agent Stack Builder
description
Intelligent recommendation system that generates optimal AI agent technology stacks based on project requirements, constraints, and team expertise.

Overview

The AI Agent Stack Builder is an intelligent recommendation engine designed to help development teams select the optimal technology stack for building AI agents. By analyzing project requirements—including type, expected user load, budget constraints, latency requirements, deployment preferences, and team expertise—the system provides curated recommendations for frameworks, large language models (LLMs), and supporting technologies.

This tool addresses a critical pain point in modern AI development: the overwhelming number of choices when building agent-based systems. Whether you're developing a customer service chatbot, autonomous research agent, or data analysis tool, the Stack Builder evaluates your unique constraints and generates a prioritized set of recommendations tailored to your situation.

The API is ideal for development teams, AI architects, technical leads, and organizations evaluating AI agent solutions who need objective, data-driven guidance on technology selection aligned with their specific operational and business constraints.

Usage

Sample Request:

{
  "formData": {
    "projectType": "customer_service_chatbot",
    "userLoad": "high",
    "budget": "medium",
    "latency": "low",
    "deployment": "cloud",
    "expertise": "intermediate",
    "capabilities": ["natural_language_understanding", "context_retention", "multi_turn_conversation"],
    "security": ["data_encryption", "role_based_access_control"],
    "additionalNotes": "Need HIPAA compliance for healthcare customer service"
  },
  "sessionId": "sess_abc123def456",
  "userId": 12345,
  "timestamp": "2024-01-15T14:30:00Z"
}

Sample Response:

{
  "recommendation": {
    "frameworks": [
      {
        "name": "LangChain",
        "priority": 1,
        "reasoning": "Excellent for multi-turn conversations with memory management and integrations",
        "suitability_score": 0.95
      },
      {
        "name": "LlamaIndex",
        "priority": 2,
        "reasoning": "Strong context retention and retrieval capabilities",
        "suitability_score": 0.88
      }
    ],
    "llms": [
      {
        "name": "GPT-4",
        "provider": "OpenAI",
        "priority": 1,
        "reasoning": "Superior NLU and context understanding for customer interactions",
        "cost_per_1m_tokens": 0.03,
        "latency_ms": 200
      },
      {
        "name": "Claude 3 Sonnet",
        "provider": "Anthropic",
        "priority": 2,
        "reasoning": "Strong privacy stance and cost-effective alternative",
        "cost_per_1m_tokens": 0.003,
        "latency_ms": 250
      }
    ],
    "supporting_technologies": [
      {
        "category": "vector_database",
        "recommendation": "Pinecone",
        "reasoning": "Managed solution suitable for cloud deployment with high availability"
      },
      {
        "category": "monitoring",
        "recommendation": "Datadog",
        "reasoning": "Comprehensive monitoring for latency-sensitive applications"
      }
    ],
    "compliance_notes": "Verify LLM provider's HIPAA BAA requirements; consider on-premise deployment for sensitive data handling",
    "estimated_monthly_cost": 1500,
    "implementation_timeline_weeks": 4
  }
}

Endpoints

GET /

Root / Health Check

Returns a health status of the API service.

ParameterTypeRequiredDescription
NoneNo parameters required

Response: 200 OK

{
  "status": "healthy",
  "version": "1.0.0"
}

POST /api/agent/stack

Generate Stack Recommendation

Generates an AI agent technology stack recommendation based on project requirements and constraints.

ParameterTypeRequiredDescription
formDataObjectProject requirements and constraints
formData.projectTypestringType of AI agent project (e.g., "customer_service_chatbot", "research_agent", "data_analysis_agent")
formData.userLoadstringExpected user load level ("low", "medium", "high")
formData.budgetstringBudget constraint ("low", "medium", "high")
formData.latencystringLatency requirement ("low", "medium", "high")
formData.deploymentstringDeployment environment ("cloud", "on_premise", "hybrid", "edge")
formData.expertisestringTeam's technical expertise level ("beginner", "intermediate", "advanced")
formData.capabilitiesarray[string]OptionalRequired AI capabilities (e.g., "natural_language_understanding", "context_retention", "function_calling")
formData.securityarray[string]OptionalSecurity and compliance requirements (e.g., "data_encryption", "role_based_access_control", "audit_logging")
formData.additionalNotesstringOptionalAdditional context or special requirements
sessionIdstringUnique session identifier for tracking
userIdintegerOptionalUser identifier for personalization
timestampstringRequest timestamp in ISO 8601 format

Response: 200 OK

{
  "recommendation": {
    "frameworks": [...],
    "llms": [...],
    "supporting_technologies": [...],
    "compliance_notes": "string",
    "estimated_monthly_cost": 0,
    "implementation_timeline_weeks": 0
  }
}

Error Response: 422 Unprocessable Entity

{
  "detail": [
    {
      "loc": ["body", "formData", "projectType"],
      "msg": "field required",
      "type": "value_error.missing"
    }
  ]
}

GET /api/frameworks

Get Available Frameworks

Retrieves the list of available AI agent frameworks that the system can recommend.

ParameterTypeRequiredDescription
NoneNo parameters required

Response: 200 OK

{
  "frameworks": [
    {
      "name": "LangChain",
      "version": "0.1.0",
      "category": "orchestration",
      "description": "Framework for building applications with LLMs",
      "maturity": "production"
    },
    {
      "name": "LlamaIndex",
      "version": "0.10.0",
      "category": "retrieval",
      "description": "Data framework for LLM applications",
      "maturity": "production"
    }
  ]
}

GET /api/llms

Get Available LLMs

Retrieves the list of available large language models that the system can recommend.

ParameterTypeRequiredDescription
NoneNo parameters required

Response: 200 OK

{
  "llms": [
    {
      "name": "GPT-4",
      "provider": "OpenAI",
      "type": "closed_source",
      "context_window": 128000,
      "cost_per_1m_tokens": 0.03,
      "latency_ms": 200
    },
    {
      "name": "Claude 3 Opus",
      "provider": "Anthropic",
      "type": "closed_source",
      "context_window": 200000,
      "cost_per_1m_tokens": 0.015,
      "latency_ms": 300
    }
  ]
}

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.mkkpro.com/creative/ai-agent-stack-builder
  • API Docs: https://api.mkkpro.com:8162/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

80.42%
按下载量换算870

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

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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