enterprise

name	enterprise
classification	capability
classification-reason	Specialized domain knowledge with limited model overlap
deprecation-risk	low
effort	high
description	Enterprise-grade systems with microservices, Kubernetes, Terraform, and AI Native methodology. For multi-feature initiatives spanning a release timeline, combine with /sprint master-plan (v2.1.13) to group features into a single 8-phase sprint container with shared scope/budget and 4 auto-pause triggers (QUALITY_GATE_FAIL / ITERATION_EXHAUSTED / BUDGET_EXCEEDED / PHASE_TIMEOUT). Triggers: microservices, k8s, terraform, monorepo, AI native
argument-hint	[init|guide|help]
agents	{"default":"bkit:enterprise-expert","infra":"bkit:infra-architect","architecture":"bkit:enterprise-expert","security":"bkit:security-architect","team":"bkit:cto-lead"}
allowed-tools	["Read","Write","Edit","Glob","Grep","Bash","Task","WebSearch"]
user-invocable	true
imports	["${PLUGIN_ROOT}/templates/design-enterprise.template.md"]
next-skill	phase-1-schema
pdca-phase	plan
task-template	[Init-Enterprise] {feature}

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