本文へ移動
cccskills
無料GitHub で公開

deploy-shiny-app

Deploy Shiny applications to shinyapps.io, Posit Connect, or Docker containers. Covers rsconnect configuration, manifest generation, Dockerfile creation, and deployment verification. Use when publishing a Shiny app for external or internal users, moving from local development to a hosted environment, containerizing a Shiny app for Kubernetes or Docker deployment, or setting up automated deployment pipelines.

インストール方法を見る

含まれるファイル(1)

  • SKILL.md7.6 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Deploy Shiny App

Deploy a Shiny application to shinyapps.io, Posit Connect, or a Docker container.

When to Use

  • Publishing a Shiny app for external or internal users
  • Moving from local development to a hosted environment
  • Containerizing a Shiny app for Kubernetes or Docker deployment
  • Setting up automated deployment pipelines

Inputs

  • Required: Path to the Shiny application
  • Required: Deployment target (shinyapps.io, Posit Connect, or Docker)
  • Optional: Account name and token (for shinyapps.io/Connect)
  • Optional: Instance size preference
  • Optional: Custom domain or URL path

Procedure

Step 1: Prepare the Application

Ensure the app is self-contained and deployable:

# Check for missing dependencies
rsconnect::appDependencies("path/to/app")

# For golem apps, ensure DESCRIPTION lists all Imports
devtools::check()

# Verify the app runs cleanly
shiny::runApp("path/to/app")

Verify these files exist:

  • app.R (or ui.R + server.R)
  • renv.lock (recommended for reproducible deployments)
  • .Rprofile does NOT call mcptools::mcp_session() in production

Expected: App runs locally without errors and all dependencies are captured.

On failure: If appDependencies() reports missing packages, install them and update renv.lock. If the app uses system libraries (e.g., gdal, curl), note them for the Docker path.

Step 2a: Deploy to shinyapps.io

# One-time account setup
rsconnect::setAccountInfo(
  name = "your-account",
  token = Sys.getenv("SHINYAPPS_TOKEN"),
  secret = Sys.getenv("SHINYAPPS_SECRET")
)

# Deploy
rsconnect::deployApp(
  appDir = "path/to/app",
  appName = "my-app",
  appTitle = "My Application",
  account = "your-account",
  forceUpdate = TRUE
)

Store credentials in .Renviron (never in code):

# .Renviron
SHINYAPPS_TOKEN=your_token_here
SHINYAPPS_SECRET=your_secret_here

Expected: App deployed and accessible at https://your-account.shinyapps.io/my-app/.

On failure: If authentication fails, regenerate tokens at shinyapps.io dashboard > Account > Tokens. If package installation fails on the server, check that all packages are available on CRAN — shinyapps.io cannot install from GitHub by default.

Step 2b: Deploy to Posit Connect

# Register server (one-time)
rsconnect::addServer(
  url = "https://connect.example.com",
  name = "production"
)

# Authenticate (one-time)
rsconnect::connectApiUser(
  account = "your-username",
  server = "production",
  apiKey = Sys.getenv("CONNECT_API_KEY")
)

# Deploy
rsconnect::deployApp(
  appDir = "path/to/app",
  appName = "my-app",
  server = "production",
  account = "your-username"
)

Expected: App deployed and accessible on the Posit Connect instance.

On failure: If the server rejects the connection, verify the API key and server URL. If packages fail to install, check that Connect has access to the required repositories (CRAN, internal CRAN-like repos).

Step 2c: Deploy with Docker

Create a Dockerfile:

FROM rocker/shiny-verse:4.4.0

# Install system dependencies
RUN apt-get update && apt-get install -y \
    libcurl4-openssl-dev \
    libssl-dev \
    libxml2-dev \
    && rm -rf /var/lib/apt/lists/*

# Install R packages
RUN R -e "install.packages(c('shiny', 'bslib', 'DT', 'plotly'))"

# Copy app
COPY . /srv/shiny-server/myapp/

# Configure Shiny Server
COPY shiny-server.conf /etc/shiny-server/shiny-server.conf

# Expose port
EXPOSE 3838

# Run
CMD ["/usr/bin/shiny-server"]

Create shiny-server.conf:

run_as shiny;

server {
  listen 3838;

  location / {
    site_dir /srv/shiny-server/myapp;
    log_dir /var/log/shiny-server;
    directory_index on;
  }
}

Build and run:

docker build -t myapp:latest .
docker run -p 3838:3838 myapp:latest

Expected: App accessible at http://localhost:3838.

On failure: If the build fails on package installation, add missing system libraries to the apt-get install line. If the app doesn't load, check Shiny Server logs: docker exec <container> cat /var/log/shiny-server/*.log.

Step 3: Verify Deployment

# Check the deployed URL responds
response <- httr::GET("https://your-app-url/")
httr::status_code(response)  # Should be 200

# For Docker
response <- httr::GET("http://localhost:3838/")
httr::status_code(response)

Manual verification checklist:

  1. App loads without errors
  2. All interactive elements respond
  3. Data connections work in the deployed environment
  4. Authentication/authorization works (if applicable)

Expected: App responds with HTTP 200 and all features work.

On failure: Check server logs for the specific deployment platform. Common issues: environment variables not set in production, database connections using localhost instead of production URLs, or file paths that only exist locally.

Step 4: Configure Monitoring (Optional)

shinyapps.io

Monitor via the dashboard at https://www.shinyapps.io/admin/#/applications.

Posit Connect

# Check deployment status via API
connectapi::connect(
  server = "https://connect.example.com",
  api_key = Sys.getenv("CONNECT_API_KEY")
)

Docker

Add health check to Dockerfile:

HEALTHCHECK --interval=30s --timeout=10s --retries=3 \
  CMD curl -f http://localhost:3838/ || exit 1

Expected: Monitoring configured for the deployment target.

On failure: If health checks fail intermittently, increase timeout values. Shiny apps can be slow to respond during initial load.

Validation

  • App deploys without errors
  • Deployed URL responds with HTTP 200
  • All interactive features work in production
  • Environment variables/secrets are configured (not hardcoded)
  • Credentials stored in .Renviron or CI secrets, not in code
  • renv.lock committed for reproducible dependency resolution

Common Pitfalls

  • Hardcoded file paths: Replace absolute paths with system.file() (for package data) or environment variables (for external resources).
  • Development-only dependencies: Don't deploy .Rprofile that loads mcptools::mcp_session() or devtools. Use conditional loading or separate profiles.
  • Missing system libraries in Docker: R packages like sf, curl, and xml2 need system libraries. Add them to the Dockerfile's apt-get install.
  • CRAN-only packages on shinyapps.io: shinyapps.io only installs from CRAN by default. GitHub-only packages need the remotes package and explicit installation in the deployment.
  • Forgotten environment variables: Database credentials, API keys, and other secrets must be configured in the deployment environment separately from code.

Related Skills

  • scaffold-shiny-app — create app structure before deployment
  • create-r-dockerfile — detailed Docker configuration for R projects
  • setup-docker-compose — multi-container setups for Shiny with databases
  • setup-github-actions-ci — CI/CD including automated deployment
  • optimize-shiny-performance — performance tuning before deploying to production

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Execute structural metamorphosis using strangler fig migration, chrysalis phases, and interface preservation. Covers transformation planning, parallel running, progressive cutover, rollback design, and post-metamorphosis stabilization for system architecture evolution. Use when assess-form has classified the system as READY for transformation, when migrating from monolith to microservices, when replacing a core subsystem while dependents continue operating, or when any architectural change must be gradual rather than big-bang.

日本語の概要は準備中です。原文の説明を表示しています。

pjt222/agent-almanac372026年10月12日 更新

adaptic

無料

Master skill composing the 5-step synoptic cycle for panoramic synthesis across multiple domains. Orchestrates meditate, expand-awareness, observe, awareness, integrate-gestalt, and express-insight into a coherent process that produces unified understanding rather than sequential compromise. Use when a problem genuinely spans 3+ domains and the interactions between domains matter more than depth in any one, when sequential analysis feels like compromise rather than integration, or before major architectural decisions affecting multiple stakeholders.

日本語の概要は準備中です。原文の説明を表示しています。

pjt222/agent-almanac372026年10月12日 更新

Scaffold a new puzzle type across all 10+ pipeline integration points in jigsawR. Creates the core puzzle module, wires it into the unified pipeline (generation, positioning, rendering, adjacency), adds ggpuzzle geom/stat layers, updates DESCRIPTION and config.yml, extends the Shiny app, and creates a comprehensive test suite. Use when adding a completely new puzzle type to the package or following the 10-point integration checklist to ensure nothing is missed end-to-end.

日本語の概要は準備中です。原文の説明を表示しています。

pjt222/agent-almanac372026年10月12日 更新

Add Rcpp or RcppArmadillo integration to an R package for high-performance C++ code. Covers setup, writing C++ functions, RcppExports generation, testing compiled code, and debugging. Use when an R function is too slow and profiling confirms a bottleneck, when you need to interface with existing C/C++ libraries, or when implementing algorithms (loops, recursion, linear algebra) that benefit from compiled code.

日本語の概要は準備中です。原文の説明を表示しています。

pjt222/agent-almanac372026年10月12日 更新

aikido

無料

Practice aikido as a defensive martial art emphasizing harmony, redirection, and controlled resolution. Covers centering and grounding, ukemi (safe falling and rolling), core techniques (irimi-nage, shiho-nage, kote-gaeshi, ikkyo), blending and tai sabaki (body movement), randori (multiple attacker practice), weapons awareness, and applying principles off the mat. Use when learning a defensive martial art that prioritizes de-escalation, developing the ability to redirect aggression without causing unnecessary harm, building safe falling skills, or cultivating calm centeredness under physical pressure.

日本語の概要は準備中です。原文の説明を表示しています。

pjt222/agent-almanac372026年10月12日 更新

Analyze an arbitrary codebase to identify functions, APIs, and data sources suitable for exposure as MCP tools, producing a tool specification document. Use when planning an MCP server for an existing project, auditing a codebase before wrapping it as an AI-accessible tool surface, comparing what a codebase can do versus what is already exposed via MCP, or generating a tool spec to hand off to scaffold-mcp-server.

日本語の概要は準備中です。原文の説明を表示しています。

pjt222/agent-almanac372026年10月12日 更新

pjt222 のスキルをすべて見る

このスキルの問題を報告する