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
Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.
Quelldateien prüfen
Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Ein direkter Befehl überspringt den Prüf-Prompt. Prüfen Sie die Quelle, bevor Sie ihn ausführen.
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
✅ Allowed
- Retrieve secrets from Secrets Manager
- IAM role-based access
- VPC internal communication
- mTLS (inter-service)
❌ Prohibited
- Hardcoded secrets
- DB in public subnet
- Using root account
- Excessive IAM permissions
CI/CD Pipeline
Push to feature/*
↓
GitHub Actions (CI)
- Lint
- Test
- Build Docker image
- Push to ECR
↓
PR to staging
↓
ArgoCD Auto Sync (Staging)
↓
PR to main
↓
ArgoCD Manual Sync (Production)
SoR Priority
1st Priority: Codebase
- scripts/init-db.sql (source of truth for DB schema)
- services/{service}/app/ (each service implementation)
2nd Priority: CLAUDE.md / Convention docs
- services/CLAUDE.md
- frontend/CLAUDE.md
- infra/CLAUDE.md
3rd Priority: docs/ design documents
- For understanding design intent
- If different from code, code is correct
AI Native Development
3 Core Principles
Document-First Design: Write design docs BEFORE code
Monorepo Context Control: All code in one repo for AI context
PR-Based Collaboration: Every change through PR
10-Day Development Pattern
Day
Focus
Output
1
Architecture
Market analysis + System architecture
2-3
Core
Auth, User + Business services
4-5
UX
PO feedback → Documentation → Implementation
6-7
QA
Zero Script QA + bug fixes
8
Infra
Terraform + GitOps
9-10
Production
Security review + Deployment
Monorepo Benefits for AI
Mono-repo:
└─ project/
├─ frontend/ ──────┐
├─ services/ ──────┤ AI reads completely
├─ infra/ ─────────┤ Context unified
└─ packages/ ──────┘
✅ AI understands full context
✅ Single source of truth for types
✅ Atomic commits across layers
✅ Consistent patterns enforced
SOLID principles and Clean Architecture compliance checks
Agent Teams (4 Teammates)
Enterprise projects support full Agent Teams for parallel PDCA execution:
Role
Agents
PDCA Phases
architect
enterprise-expert, infra-architect
Design
developer
bkend-expert
Do, Act
qa
qa-monitor, gap-detector
Check
reviewer
code-analyzer, design-validator
Check, Act
To enable:
Set environment: CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1
Start team mode: /pdca team {feature}
Monitor progress: /pdca team status
Agent Memory (Auto-Active)
All bkit agents automatically remember project context across sessions.
Enterprise agents use project scope memory, ensuring architecture decisions
and infrastructure patterns persist across development sessions.
