Enterprise logo

Enterprise

Organization
ww-w-ai
enterprise

Enterprise-grade system development with microservices, Kubernetes, and Terraform. Includes AI Native methodology and Monorepo architecture patterns. Project initialization with "init enterprise" or "enterprise init". Use proactively when user needs high traffic, microservices, or custom infrastructure. Triggers: microservices, kubernetes, terraform, k8s, AWS, monorepo, AI native, init enterprise, enterprise init, 마이크로서비스, 모노레포, 인프라, マイクロサービス, モノレポ, インフラ, 微服务, 单仓库, 基础设施, microservicios, estrategia empresarial, arquitectura, microservices, stratégie d'entreprise, architecture, Microservices, Unternehmensstrategie, Architektur, microservizi, strategia aziendale, architettura Do NOT use for: simple projects, static websites, learning projects

Overview

Publisherww-w-ai
Repositorybkit-gemini
Skill nameenterprise
Stars
66
Forks
16
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by ww-w-ai on GitHub. Read the source before you install it.

Installation

Install the Enterprise AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ww-w-ai/bkit-gemini.git /tmp/bkit-gemini
mkdir -p .claude/skills
cp -r /tmp/bkit-gemini/skills/enterprise .claude/skills/enterprise
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Enterprise in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Enterprise on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Enterprise is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Enterprise Skill

Enterprise-grade systems with microservices, Kubernetes, and Terraform

Overview

The Enterprise skill provides guidance for building large-scale, production-ready systems with microservices architecture, container orchestration, and infrastructure-as-code.

When to Use

  • High-traffic applications
  • Multi-team development
  • Complex business logic
  • Regulatory compliance needs
  • Custom infrastructure requirements

Architecture Patterns

Monorepo Structure

enterprise-project/
├── packages/
│   ├── api-gateway/
│   ├── user-service/
│   ├── order-service/
│   ├── payment-service/
│   └── shared/
├── infrastructure/
│   ├── terraform/
│   └── kubernetes/
├── docs/
│   ├── 01-plan/
│   ├── 02-design/
│   ├── 03-analysis/
│   └── 04-report/
├── turbo.json
└── package.json

Key Technologies

  • Container: Docker, Kubernetes
  • IaC: Terraform, Pulumi
  • CI/CD: GitHub Actions, ArgoCD
  • Observability: Prometheus, Grafana, Jaeger
  • Service Mesh: Istio, Linkerd

Key Phases (Enterprise Level)

PhaseRequiredDescription
1. SchemaDomain modeling
2. ConventionTeam coding standards
3. MockupUI/UX prototypes
4. APIAPI contracts (OpenAPI)
5. Design SystemShared component library
6. UI IntegrationFrontend integration
7. SEO/SecuritySecurity hardening
8. ReviewArchitecture review
9. DeploymentMulti-env deployment

Getting Started

bash
# Initialize Enterprise project
/enterprise init

# Full pipeline with all phases
/development-pipeline start

Infrastructure Example

hcl
# infrastructure/terraform/main.tf
module "eks" {
  source  = "terraform-aws-modules/eks/aws"
  version = "~> 19.0"

  cluster_name    = "enterprise-cluster"
  cluster_version = "1.28"

  vpc_id     = module.vpc.vpc_id
  subnet_ids = module.vpc.private_subnets
}

Frequently asked questions

What does the Enterprise AI skill do?

Enterprise-grade system development with microservices, Kubernetes, and Terraform. Includes AI Native methodology and Monorepo architecture patterns. Project initialization with "init enterprise" or "enterprise init". Use proactively when user needs high traffic, microservices, or custom infrastructure. Triggers: microservices, kubernetes, terraform, k8s, AWS, monorepo, AI native, init enterprise, enterprise init, 마이크로서비스, 모노레포, 인프라, マイクロサービス, モノレポ, インフラ, 微服务, 单仓库, 基础设施, microservicios, estrategia empresarial, arquitectura, microservices, stratégie d'entreprise, architecture, Microservices,...

Why use Enterprise on TypingMind?

Because you install it once and use it with any model. Enterprise is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Enterprise in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ww-w-ai/bkit-gemini/tree/main/skills/enterprise. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Enterprise?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Enterprise?

As many as you like. As long as a model supports skills, you can use Enterprise with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Enterprise AI skill free?

Yes. It is published on GitHub by ww-w-ai under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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