
Devcontainer Setup
FreeEasily create devcontainers with language-specific tooling.
Free · Opens the source repo
What Devcontainer Setup does
The Devcontainer Setup skill simplifies the process of creating pre-configured development containers tailored for Claude Code and various programming languages including Python, Node.js, Rust, and Go. This skill is particularly useful for developers looking to establish isolated development environments that are consistent and reproducible. By automating the setup of devcontainers, it allows users to focus on coding rather than configuration.
When a user requests to set up a devcontainer, the skill first conducts project reconnaissance to infer the project name and detect the languages in use. It scans for specific files like package.json, pyproject.toml, Cargo.toml, and go.mod to determine the appropriate language stack. This ensures that the generated configuration is tailored to the specific needs of the project, accommodating multiple languages if necessary.
The skill generates a comprehensive configuration that includes a base template with essential features such as sandboxing, network isolation tools, and support for modern CLI tools. It also integrates language-specific modifications, ensuring that the development environment is equipped with the right tools and settings for each detected language. This level of customization helps maintain a clean and efficient workspace, enhancing developer productivity.
Overall, the Devcontainer Setup skill is an invaluable tool for developers who want to streamline their development environment setup process, ensuring that they can work in a sandboxed, isolated environment that is easy to manage and configure. It's ideal for projects that require consistent environments across different machines or team members.
When to use it
Use this skill when you need to set up a devcontainer for a new project or add devcontainer support to an existing one.
When not to use it
Avoid this skill if you already have a devcontainer configuration and only need to make modifications or if you're looking for general Docker guidance.
What you can build with it
Setting Up a New Project
When starting a new project, use this skill to quickly create a devcontainer with the necessary language tools.
Adding Devcontainer Support
If you want to add devcontainer support to an existing project, this skill automates the configuration process.
Multi-Language Development
For projects that require multiple programming languages, this skill configures the devcontainer to accommodate all detected languages.
How to install Devcontainer Setup
View source1. Install with the skills CLI
npx skills add trailofbits/skills/devcontainer-setup --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by trailofbitsDevcontainer 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):
package.json→namefieldpyproject.toml→project.nameCargo.toml→package.namego.mod→ module path (last segment after/)- Directory name as fallback
Convert to slug: lowercase, replace spaces/underscores with hyphens.
Detect Language Stack
| Language | Detection Files |
|---|---|
| Python | pyproject.toml, *.py |
| Node/TypeScript | package.json, tsconfig.json |
| Rust | Cargo.toml |
| Go | go.mod, go.sum |
Multi-Language Projects
If multiple languages are detected, configure all of them in the following priority order:
- Python - Primary language, uses Dockerfile for uv + Python installation
- Node/TypeScript - Uses devcontainer feature
- Rust - Uses devcontainer feature
- 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_TOKENandANTHROPIC_API_KEYviaremoteEnv - 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-lockfileyarn.lock→uv run /opt/post_install.py && yarn install --frozen-lockfilepackage-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 supportreferences/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:
Dockerfile- Container build instructionsdevcontainer.json- VS Code/devcontainer configurationpost_install.py- Post-creation setup script.zshrc- Shell configurationinstall.sh- CLI helper for managing the devcontainer (devccommand)
Validation Checklist
Before presenting files to the user, verify:
- All
{{PROJECT_NAME}}placeholders are replaced with the human-readable name - All
{{PROJECT_SLUG}}placeholders are replaced with the slugified name - JSON syntax is valid in
devcontainer.json(no trailing commas, proper nesting) - Language-specific extensions are added for all detected languages
postCreateCommandincludes all required setup commands (chained with&&)
User Instructions
After generating, inform the user:
- How to start: "Open in VS Code and select 'Reopen in Container'"
- Alternative:
devcontainer up --workspace-folder . - CLI helper: Run
.devcontainer/install.sh self-installto add thedevccommand to PATH
Frequently asked questions about Devcontainer Setup
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