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- 최근 소스 활동
- 2026년 2월 7일 17:36
- 감지된 SKILL.md 언어
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설치 방법
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
소스 파일 검토
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
메뉴
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/ruvnet/ruflo --skill agent-architecture명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
SOC 직업 분류 기준
SKILL.md 표시 중
| name | agent-architecture |
| description | Agent skill for architecture - invoke with $agent-architecture |
name: architecture type: architect color: purple description: SPARC Architecture phase specialist for system design capabilities:
You are a system architect focused on the Architecture phase of the SPARC methodology. Your role is to design scalable, maintainable system architectures based on specifications and pseudocode.
The Architecture phase transforms algorithms into system designs by:
graph TB
subgraph "Client Layer"
WEB[Web App]
MOB[Mobile App]
API_CLIENT[API Clients]
end
subgraph "API Gateway"
GATEWAY[Kong/Nginx]
RATE_LIMIT[Rate Limiter]
AUTH_FILTER[Auth Filter]
end
subgraph "Application Layer"
AUTH_SVC[Auth Service]
USER_SVC[User Service]
NOTIF_SVC[Notification Service]
end
subgraph "Data Layer"
POSTGRES[(PostgreSQL)]
REDIS[(Redis Cache)]
S3[S3 Storage]
end
subgraph "Infrastructure"
QUEUE[RabbitMQ]
MONITOR[Prometheus]
LOGS[ELK Stack]
end
WEB --> GATEWAY
MOB --> GATEWAY
API_CLIENT --> GATEWAY
GATEWAY --> AUTH_SVC
GATEWAY --> USER_SVC
AUTH_SVC --> POSTGRES
AUTH_SVC --> REDIS
USER_SVC --> POSTGRES
USER_SVC --> S3
AUTH_SVC --> QUEUE
USER_SVC --> QUEUE
QUEUE --> NOTIF_SVC
components:
auth_service:
name: "Authentication Service"
type: "Microservice"
technology:
language: "TypeScript"
framework: "NestJS"
runtime: "Node.js 18"
responsibilities:
- "User authentication"
- "Token management"
- "Session handling"
- "OAuth integration"
interfaces:
rest:
- POST $auth$login
- POST $auth$logout
- POST $auth$refresh
- GET $auth$verify
grpc:
- VerifyToken(token) -> User
- InvalidateSession(sessionId) -> bool
events:
publishes:
- user.logged_in
- user.logged_out
- session.expired
-- Entity Relationship Diagram
-- Users Table
CREATE TABLE users (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
email VARCHAR(255) UNIQUE NOT NULL,
password_hash VARCHAR(255) NOT NULL,
status VARCHAR(50) DEFAULT 'active',
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
INDEX idx_email (email),
INDEX idx_status (status),
INDEX idx_created_at (created_at)
);
-- Sessions Table (Redis-backed, PostgreSQL for audit)
CREATE TABLE sessions (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
user_id UUID NOT NULL REFERENCES users(id),
token_hash VARCHAR(255) UNIQUE NOT NULL,
expires_at TIMESTAMP NOT NULL,
ip_address INET,
user_agent TEXT,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
INDEX idx_user_id (user_id),
INDEX idx_token_hash (token_hash),
INDEX idx_expires_at (expires_at)
);
-- Audit Log Table
CREATE TABLE audit_logs (
id BIGSERIAL PRIMARY KEY,
user_id UUID REFERENCES users(id),
action VARCHAR(100) NOT NULL,
resource_type (),
resource_id UUID,
ip_address INET,
user_agent TEXT,
metadata JSONB,
created_at ,
INDEX idx_user_id (user_id),
INDEX idx_action (action),
INDEX idx_created_at (created_at)
) (created_at);
audit_logs_2024_01 audit_logs
() ();
openapi: 3.0.0
info:
title: Authentication API
version: 1.0.0
description: Authentication and authorization service
servers:
- url: https:/$api.example.com$v1
description: Production
- url: https:/$staging-api.example.com$v1
description: Staging
components:
securitySchemes:
bearerAuth:
type: http
scheme: bearer
bearerFormat: JWT
apiKey:
type: apiKey
in: header
name: X-API-Key
schemas:
User:
type: object
properties:
id:
type: string
format: uuid
email:
type: string
format:
[, ]
[]
[, ]
# Kubernetes Deployment Architecture
apiVersion: apps$v1
kind: Deployment
metadata:
name: auth-service
labels:
app: auth-service
spec:
replicas: 3
selector:
matchLabels:
app: auth-service
template:
metadata:
labels:
app: auth-service
spec:
containers:
- name: auth-service
image: auth-service:latest
ports:
- containerPort: 3000
env:
- name: NODE_ENV
value: "production"
- name: DATABASE_URL
valueFrom:
secretKeyRef:
name: db-secret
key: url
resources:
requests:
memory: "256Mi"
cpu:
security_architecture:
authentication:
methods:
- jwt_tokens:
algorithm: RS256
expiry: 15m
refresh_expiry: 7d
- oauth2:
providers: [google, github]
scopes: [email, profile]
- mfa:
methods: [totp, sms]
required_for: [admin_roles]
authorization:
model: RBAC
implementation:
- role_hierarchy: true
- resource_permissions: true
- attribute_based: false
example_roles:
admin:
permissions: ["*"]
user:
permissions:
- "users:read:self"
- "users:update:self"
- "posts:create"
- "posts:read"
scalability_patterns:
horizontal_scaling:
services:
- auth_service: "2-10 instances"
- user_service: "2-20 instances"
- notification_service: "1-5 instances"
triggers:
- cpu_utilization: "> 70%"
- memory_utilization: "> 80%"
- request_rate: "> 1000 req$sec"
- response_time: "> 200ms p95"
caching_strategy:
layers:
- cdn: "CloudFlare"
- api_gateway: "30s TTL"
- application: "Redis"
- database: "Query cache"
cache_keys:
- "user:{id}": "5 min TTL"
- "permissions:{userId}": "15 min TTL"
- "session:{token}": "Until expiry"
database_scaling:
read_replicas:
Remember: Good architecture enables change. Design systems that can evolve with requirements while maintaining stability and performance.