deploy-shinyproxy
About
This skill deploys ShinyProxy to host multiple containerized Shiny applications behind a single entry point. It handles Docker deployment, application configuration, authentication, and access control for isolated app containers. Use it when you need to scale beyond single-app deployments with usage tracking and audit logging.
Quick Install
Claude Code
Recommendednpx skills add pjt222/agent-almanac -a claude-code/plugin add https://github.com/pjt222/agent-almanacgit clone https://github.com/pjt222/agent-almanac.git ~/.claude/skills/deploy-shinyproxyCopy and paste this command in Claude Code to install this skill
Documentation
部署 ShinyProxy
部 ShinyProxy 托多容器化 Shiny 應用,含認證+用量跟蹤。
用
- 多 Shiny 應於單入口
- 需每應認證+訪問控
- Shiny→隔離 Docker 容器
- 超單應部署(shinyapps.io/獨立 Docker)擴展
- 需用量分析+審計日誌
入
- 必:一或多 Shiny 應
- 必:有 Docker 之機
- 可:認證供應(LDAP、OpenID、社交)
- 可:域名+SSL
- 可:容器編排(Docker/K8s)
法
一:建 Shiny 應 Docker 像
每應需自像。Dockerfile 例:
FROM rocker/shiny:4.5.0
RUN apt-get update && apt-get install -y \
libcurl4-openssl-dev \
libssl-dev \
&& rm -rf /var/lib/apt/lists/*
RUN R -e "install.packages(c('shiny', 'bslib', 'DT', 'dplyr'), \
repos='https://cloud.r-project.org/')"
COPY app/ /srv/shiny-server/app/
RUN chown -R shiny:shiny /srv/shiny-server/app
USER shiny
EXPOSE 3838
CMD ["R", "-e", "shiny::runApp('/srv/shiny-server/app', host='0.0.0.0', port=3838)"]
構建+測每應:
docker build -t myorg/dashboard:latest ./apps/dashboard/
docker run --rm -p 3838:3838 myorg/dashboard:latest
得: 每 Shiny 應於自容器獨跑。
二:配 ShinyProxy
application.yml:
proxy:
title: "Shiny Applications"
port: 8080
container-backend: docker
docker:
internal-networking: true
authentication: simple
admin-groups: admins
users:
- name: admin
password: admin_password
groups: admins
- name: analyst
password: analyst_password
groups: users
specs:
- id: dashboard
display-name: "Analytics Dashboard"
description: "Interactive data analysis dashboard"
container-image: myorg/dashboard:latest
container-cmd: ["R", "-e", "shiny::runApp('/srv/shiny-server/app', host='0.0.0.0', port=3838)"]
container-network: shinyproxy-net
port: 3838
access-groups: [admins, users]
- id: report-builder
display-name: "Report Builder"
description: "Generate custom reports"
container-image: myorg/report-builder:latest
container-cmd: ["R", "-e", "shiny::runApp('/srv/shiny-server/app', host='0.0.0.0', port=3838)"]
container-network: shinyproxy-net
port: 3838
access-groups: [admins]
logging:
file:
name: /opt/shinyproxy/log/shinyproxy.log
server:
forward-headers-strategy: native
三:以 Docker Compose 部 ShinyProxy
docker-compose.yml:
services:
shinyproxy:
image: openanalytics/shinyproxy:3.1.1
container_name: shinyproxy
ports:
- "8080:8080"
volumes:
- ./application.yml:/opt/shinyproxy/application.yml:ro
- /var/run/docker.sock:/var/run/docker.sock
- shinyproxy-logs:/opt/shinyproxy/log
networks:
- shinyproxy-net
restart: unless-stopped
networks:
shinyproxy-net:
name: shinyproxy-net
driver: bridge
volumes:
shinyproxy-logs:
# Create the network first (ShinyProxy spawns containers on this network)
docker network create shinyproxy-net
# Start ShinyProxy
docker compose up -d
# Check logs
docker compose logs -f shinyproxy
得: ShinyProxy 於 8080 啟,示登錄頁,列配置應。
敗: 察 docker compose logs shinyproxy。驗應像本地存(docker images)。
四:配認證
簡單(內建)
如步二,authentication: simple 內聯用戶。
LDAP
proxy:
authentication: ldap
ldap:
url: ldap://ldap.example.com:389/dc=example,dc=com
manager-dn: cn=admin,dc=example,dc=com
manager-password: ldap_admin_password
user-search-base: ou=users
user-search-filter: (uid={0})
group-search-base: ou=groups
group-search-filter: (member={0})
OpenID Connect(Keycloak、Auth0 等)
proxy:
authentication: openid
openid:
auth-url: https://auth.example.com/realms/myrealm/protocol/openid-connect/auth
token-url: https://auth.example.com/realms/myrealm/protocol/openid-connect/token
jwks-url: https://auth.example.com/realms/myrealm/protocol/openid-connect/certs
client-id: shinyproxy
client-secret: your_client_secret
roles-claim: realm_access.roles
五:以 Nginx 反向代理
生產置 Nginx 於 ShinyProxy 前:
map $http_upgrade $connection_upgrade {
default upgrade;
'' close;
}
server {
listen 443 ssl;
server_name shiny.example.com;
ssl_certificate /etc/letsencrypt/live/shiny.example.com/fullchain.pem;
ssl_certificate_key /etc/letsencrypt/live/shiny.example.com/privkey.pem;
location / {
proxy_pass http://shinyproxy:8080;
proxy_http_version 1.1;
proxy_set_header Upgrade $http_upgrade;
proxy_set_header Connection $connection_upgrade;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
proxy_read_timeout 600s;
proxy_buffering off;
}
}
WebSocket 支持要緊——ShinyProxy 與 Shiny 大用 WebSocket。
六:用量跟蹤
ShinyProxy 記用量事件至日誌。欲結構化,配 InfluxDB:
proxy:
usage-stats-url: http://influxdb:8086/write?db=shinyproxy
usage-stats-username: shinyproxy
usage-stats-password: stats_password
加 InfluxDB 至 compose 棧:
services:
influxdb:
image: influxdb:1.8
environment:
INFLUXDB_DB: shinyproxy
INFLUXDB_ADMIN_USER: admin
INFLUXDB_ADMIN_PASSWORD: admin_password
volumes:
- influxdata:/var/lib/influxdb
networks:
- shinyproxy-net
volumes:
influxdata:
七:應資源限
specs:
- id: dashboard
container-image: myorg/dashboard:latest
container-memory-limit: 1g
container-cpu-limit: 1.0
max-instances: 5
container-env:
R_MAX_MEM_SIZE: 768m
八:驗部署
# Check ShinyProxy health
curl -s http://localhost:8080/actuator/health
# Test login
curl -s -c cookies.txt -d "username=admin&password=admin_password" \
http://localhost:8080/login
# List apps via API
curl -s -b cookies.txt http://localhost:8080/api/proxyspec
得: 健康端點返 UP。登錄成。應於隔離容器啟。
驗
- ShinyProxy 啟並示登錄頁
- 認證諸配用戶工作
- 每 Shiny 應於自容器啟
- WebSocket 連工作(Shiny 反應性)
- 訪問組正確限應可見
- 用戶斷時容器清理工作
- 日誌錄用量事件
忌
- Docker socket 權限:ShinyProxy 需 Docker socket 啟容器。以
docker組用戶跑或掛載 socket。 - 網絡不匹:應容器須於同 Docker 網絡(specs 之
container-network須匹)。 - WebSocket 代理:ShinyProxy 前之 Nginx 或其代理須轉 WebSocket 升級頭。
- 像不存:應像須於 Docker 主機本地拉或構建後 ShinyProxy 始可用。
- 容器清理:ShinyProxy 崩→孤應容器可留。
docker ps查並清。 - 內存限:Shiny 應可耗大內存。設
container-memory-limit防一應餓諸應。
參
deploy-shiny-appconfigure-reverse-proxycreate-dockerfilecreate-r-dockerfile
GitHub Repository
Frequently asked questions
What is the deploy-shinyproxy skill?
deploy-shinyproxy is a Claude Skill by pjt222. Skills package instructions and resources that Claude loads on demand, so Claude can perform deploy-shinyproxy-related tasks without extra prompting.
How do I install deploy-shinyproxy?
Use the install commands on this page: add deploy-shinyproxy to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.
What category does deploy-shinyproxy belong to?
deploy-shinyproxy is in the Documentation category, tagged ai and data.
Is deploy-shinyproxy free to use?
Yes. deploy-shinyproxy is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.
Related Skills
This skill fetches current Railway documentation to answer questions about features, functionality, or specific docs URLs. It ensures developers receive accurate, up-to-date information directly from Railway's official sources. Use it when users ask how Railway works or reference Railway documentation.
This Claude Skill provides expert guidance for writing Python code in n8n's Code nodes, specifically for using Python's standard library and working with n8n's special syntax like `_input`, `_json`, and `_node`. It helps developers understand Python's limitations within n8n and recommends using JavaScript for most workflows while offering Python solutions for specific data transformation needs.
The Archon skill provides RAG-powered semantic search and project management through a REST API. Use it for querying documentation, managing hierarchical projects/tasks, and performing knowledge retrieval with document upload capabilities. Always prioritize Archon first when searching external documentation before using other sources.
This Claude Skill provides expert guidance for writing JavaScript code in n8n's Code nodes. It covers essential n8n-specific syntax like `$input`/`$json` variables, HTTP helpers, and DateTime handling, while troubleshooting common errors. Use it when developing n8n workflows that require custom JavaScript processing in Code nodes.
