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devcontainer-setup

Create an isolated development container configured for Claude Code and the project's languages. Generate container files, editor settings, dependency setup commands, and persistent storage for Python, Node/TypeScript, Rust, and Go projects.

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Creates devcontainers with Claude Code, language-specific tooling (Python/Node/Rust/Go), and persistent volumes. Use when adding devcontainer support to a project, setting up isolated development environments, or configuring sandboxed Claude Code workspaces.

See how to install

Good for

  • Add devcontainer support to a project
  • Set up an isolated Claude Code workspace
  • Configure development tools for a multilingual project
  • Preserve development settings and caches in container volumes

Files included (10)

  • SKILL.md7.9 KB
  • agents/openai.yaml239 B
  • assets/trail-of-bits-mark.svg3.0 KB
  • references/dockerfile-best-practices.md3.3 KB
  • references/features-vs-dockerfile.md675 B
  • resources/.zshrc1.8 KB
  • resources/devcontainer.json2.5 KB
  • resources/Dockerfile3.8 KB
  • resources/install.sh22.6 KB
  • resources/post_install.py8.4 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Devcontainer Setup Skill

Creates a pre-configured devcontainer with Claude Code and language-specific tooling.

When to Use

  • User asks to "set up a devcontainer" or "add devcontainer support"
  • User wants a sandboxed Claude Code development environment
  • User needs isolated development environments with persistent configuration

When NOT to Use

  • User already has a devcontainer configuration and just needs modifications
  • User is asking about general Docker or container questions
  • User wants to deploy production containers (this is for development only)

Workflow

flowchart TB
    start([User requests devcontainer])
    recon[1. Project Reconnaissance]
    detect[2. Detect Languages]
    generate[3. Generate Configuration]
    write[4. Write files to .devcontainer/]
    done([Done])

    start --> recon
    recon --> detect
    detect --> generate
    generate --> write
    write --> done

Phase 1: Project Reconnaissance

Infer Project Name

Check in order (use first match):

  1. package.json → name field
  2. pyproject.toml → project.name
  3. Cargo.toml → package.name
  4. go.mod → module path (last segment after /)
  5. Directory name as fallback

Convert to slug: lowercase, replace spaces/underscores with hyphens.

Detect Language Stack

LanguageDetection Files
Pythonpyproject.toml, *.py
Node/TypeScriptpackage.json, tsconfig.json
RustCargo.toml
Gogo.mod, go.sum

Multi-Language Projects

If multiple languages are detected, configure all of them in the following priority order:

  1. Python - Primary language, uses Dockerfile for uv + Python installation
  2. Node/TypeScript - Uses devcontainer feature
  3. Rust - Uses devcontainer feature
  4. Go - Uses devcontainer feature

For multi-language postCreateCommand, chain all setup commands:

uv run /opt/post_install.py && uv sync && npm ci

Extensions and settings from all detected languages should be merged into the configuration.

Phase 2: Generate Configuration

Start with base templates from resources/ directory. Substitute:

  • {{PROJECT_NAME}} → Human-readable name (e.g., "My Project")
  • {{PROJECT_SLUG}} → Slug for volumes (e.g., "my-project")

Then apply language-specific modifications below.

Base Template Features

The base template includes:

  • Claude Code with marketplace plugins (anthropics/skills, trailofbits/skills, trailofbits/skills-curated)
  • Sandboxing via bubblewrap and socat
  • Python 3.13 via uv (fast binary download)
  • Node 22 via fnm (Fast Node Manager)
  • ast-grep for AST-based code search
  • Network isolation tools (iptables, ipset) with NET_ADMIN capability
  • Security mounts: .devcontainer/ mounted read-only to prevent container escape
  • Token forwarding: CLAUDE_CODE_OAUTH_TOKEN and ANTHROPIC_API_KEY via remoteEnv
  • Modern CLI tools: ripgrep, fd, fzf, tmux, git-delta

Language-Specific Sections

Python Projects

Detection: pyproject.toml, requirements.txt, setup.py, or *.py files

Dockerfile additions:

The base Dockerfile already includes Python 3.13 via uv. If a different version is required (detected from pyproject.toml), modify the Python installation:

# Install Python via uv (fast binary download, not source compilation)
RUN uv python install <version> --default

devcontainer.json extensions:

Add to customizations.vscode.extensions:

"ms-python.python",
"ms-python.vscode-pylance",
"charliermarsh.ruff"

Add to customizations.vscode.settings:

"python.defaultInterpreterPath": ".venv/bin/python",
"[python]": {
  "editor.defaultFormatter": "charliermarsh.ruff",
  "editor.codeActionsOnSave": {
    "source.organizeImports": "explicit"
  }
}

postCreateCommand: If pyproject.toml exists, chain commands:

rm -rf .venv && uv sync && uv run /opt/post_install.py

Node/TypeScript Projects

Detection: package.json or tsconfig.json

No Dockerfile additions needed: The base template includes Node 22 via fnm (Fast Node Manager).

devcontainer.json extensions:

Add to customizations.vscode.extensions:

"dbaeumer.vscode-eslint",
"esbenp.prettier-vscode"

Add to customizations.vscode.settings:

"editor.defaultFormatter": "esbenp.prettier-vscode",
"editor.codeActionsOnSave": {
  "source.fixAll.eslint": "explicit"
}

postCreateCommand: Detect package manager from lockfile and chain with base command:

  • pnpm-lock.yaml → uv run /opt/post_install.py && pnpm install --frozen-lockfile
  • yarn.lock → uv run /opt/post_install.py && yarn install --frozen-lockfile
  • package-lock.json → uv run /opt/post_install.py && npm ci
  • No lockfile → uv run /opt/post_install.py && npm install

Rust Projects

Detection: Cargo.toml

Features to add:

"ghcr.io/devcontainers/features/rust:1": {}

devcontainer.json extensions:

Add to customizations.vscode.extensions:

"rust-lang.rust-analyzer",
"tamasfe.even-better-toml"

Add to customizations.vscode.settings:

"[rust]": {
  "editor.defaultFormatter": "rust-lang.rust-analyzer"
}

postCreateCommand: If Cargo.lock exists, use locked builds:

uv run /opt/post_install.py && cargo build --locked

If no lockfile, use standard build:

uv run /opt/post_install.py && cargo build

Go Projects

Detection: go.mod

Features to add:

"ghcr.io/devcontainers/features/go:1": {
  "version": "latest"
}

devcontainer.json extensions:

Add to customizations.vscode.extensions:

"golang.go"

Add to customizations.vscode.settings:

"[go]": {
  "editor.defaultFormatter": "golang.go"
},
"go.useLanguageServer": true

postCreateCommand:

uv run /opt/post_install.py && go mod download

Reference Material

For additional guidance, see:

  • references/dockerfile-best-practices.md - Layer optimization, multi-stage builds, architecture support
  • references/features-vs-dockerfile.md - When to use devcontainer features vs custom Dockerfile

Adding Persistent Volumes

Pattern for new mounts in devcontainer.json:

"mounts": [
  "source={{PROJECT_SLUG}}-<purpose>-${devcontainerId},target=<container-path>,type=volume"
]

Common additions:

  • source={{PROJECT_SLUG}}-cargo-${devcontainerId},target=/home/vscode/.cargo,type=volume (Rust)
  • source={{PROJECT_SLUG}}-go-${devcontainerId},target=/home/vscode/go,type=volume (Go)

Output Files

Generate these files in the project's .devcontainer/ directory:

  1. Dockerfile - Container build instructions
  2. devcontainer.json - VS Code/devcontainer configuration
  3. post_install.py - Post-creation setup script
  4. .zshrc - Shell configuration
  5. install.sh - CLI helper for managing the devcontainer (devc command)

Validation Checklist

Before presenting files to the user, verify:

  1. All {{PROJECT_NAME}} placeholders are replaced with the human-readable name
  2. All {{PROJECT_SLUG}} placeholders are replaced with the slugified name
  3. JSON syntax is valid in devcontainer.json (no trailing commas, proper nesting)
  4. Language-specific extensions are added for all detected languages
  5. postCreateCommand includes all required setup commands (chained with &&)

User Instructions

After generating, inform the user:

  1. How to start: "Open in VS Code and select 'Reopen in Container'"
  2. Alternative: devcontainer up --workspace-folder .
  3. CLI helper: Run .devcontainer/install.sh self-install to add the devc command to PATH

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