enterprise

enterprise is a skill for Claude Code from ww-w-ai/bkit-claude-code. It costs 106 tokens per session (3,469 once invoked), scanned A, original, Apache-2.0.

A guide for designing larger software systems with separate services, Kubernetes, Terraform, and a Turborepo monorepo. A monorepo keeps multiple apps and shared packages in one repository.

In plain words
What is it for?
Use it to initialize a large project, organize frontend, backend, and infrastructure code, and learn basic Kubernetes, Terraform, AWS, and microservices approaches.
Why use it?
It gives experienced teams a starting structure for organizing many services and their infrastructure. It also explains unfamiliar deployment tools and enterprise system patterns.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions CLAUDE.md; mentions Claude Code.

Part of the bkit plugin — 44 skills, 2 commands, 34 agents, 21 hooks shipped together

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/ww-w-ai/bkit-claude-code/enterprise
Any agent
npx skills add ww-w-ai/bkit-claude-code --skill enterprise
Clone the repo
git clone --depth 1 https://github.com/ww-w-ai/bkit-claude-code

Made for: Claude Code.

Or install bkit, the plugin that ships this one along with the rest of its 44 skills, 2 commands, 34 agents, 21 hooks.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for enterprise

README.md
[![agentmods](https://agentmods.dev/badge/skills/ww-w-ai/bkit-claude-code/enterprise.svg)](https://agentmods.dev/skills/ww-w-ai/bkit-claude-code/enterprise)
Your own site
<a href="https://agentmods.dev/skills/ww-w-ai/bkit-claude-code/enterprise"><img src="https://agentmods.dev/badge/skills/ww-w-ai/bkit-claude-code/enterprise.svg" alt="Measured on agentmods" height="20"></a>
Per session 106 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,469 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00106 $0.03469
Opus 5 $0.00053 $0.01734
Sonnet 5 $0.00021 $0.00694
Haiku 4.5 $0.00011 $0.00347

Measured 3d ago against content hash adadbfadc04c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

enterprise scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/enterprise/SKILL.md · 498 lines

How it starts

The opening of the file, as written. The whole thing — 498 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Advanced (Enterprise) Skill

Actions

Action Description Example
init Project initialization (/init-enterprise feature) /enterprise init my-platform
guide Display development guide /enterprise guide
help MSA/Infrastructure help /enterprise help

init (Project Initialization)

  1. Create Turborepo monorepo structure
  2. apps/, packages/, services/, infra/ folder structure
  3. Create CLAUDE.md (Level: Enterprise specified)
  4. docs/ 5-category structure
  5. infra/terraform/, infra/k8s/ base templates
  6. Initialize .bkit-memory.json

guide (Development Guide)

  • AI Native 10-Day development cycle
  • Microservices architecture patterns
  • Phase 1-9 full Pipeline (Enterprise version)

help (Infrastructure Help)

  • Kubernetes basic concepts
  • Terraform IaC patterns
  • AWS EKS, RDS configuration guide

Target Audience

  • Senior developers
  • CTOs / Architects
  • Large-scale system operators

Tech Stack

Frontend:
- Next.js 14+ (Turborepo monorepo)
- TypeScript
- Tailwind CSS
- TanStack Query
- Zustand
- Sentry Browser SDK (@sentry/nextjs) — Error tracking + Session Replay

Backend:
- Python FastAPI (microservices) — default
- PostgreSQL (schema separation)
- Redis (cache, Pub/Sub)
- RabbitMQ / SQS (message queue)
- Sentry Server SDK (sentry-sdk[fastapi]) — Error tracking + APM

Infrastructure:
- AWS (EKS, RDS, S3, CloudFront)
- Kubernetes (Kustomize)
- Terraform (IaC)
- ArgoCD (GitOps)
- ALB + NGINX Ingress Controller (L7 load balancing)
  - CORS: Ingress annotation으로 처리
    nginx.ingress.kubernetes.io/enable-cors: "true"
  - NLB(L4)는 gRPC/WebSocket 전용 서비스에만 사용

CI/CD:
- GitHub Actions
- Docker
- Semgrep (SAST) + Trivy (Container Scan)

Monitoring & Error Tracking:
- Sentry — Error tracking, grouping, regression detection
- Prometheus + Grafana — Metrics & dashboards
- Loki + Promtail — Log aggregation
- Tempo + OpenTelemetry — Distributed tracing
- Alertmanager → PagerDuty (critical) / Slack (warning)

Self-Healing Pipeline:
- Sentry Webhook → Self-Healing Agent trigger
- 4-Layer Living Context (Scenarios, Invariants, Impact, Incidents)
- Auto-fix (max 5 iterations) → Auto PR → Canary Deploy
- Auto-Rollback on error rate spike

Read the full file on GitHub · 498 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 498 lines · 106 tokens per session scan A adadbfadc04c

Subscribe to this mod's changes

enterprise is a skill published in the GitHub repository ww-w-ai/bkit-claude-code (595 stars, last pushed today), licensed Apache-2.0. It adds 106 tokens to every session and 3,469 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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