Generate Devcontainer Configuration
Generates pre-configured devcontainer setups with Claude Code and language-specific tooling for Python, Node/TypeScript, Rust, and Go projects.
Why it matters
Automate the setup of isolated, pre-configured development environments using Devcontainers. This skill streamlines the process of creating consistent and reproducible coding workspaces for various languages.
Outcomes
What it gets done
Detect project languages and infer project name.
Generate Dockerfile and devcontainer.json configurations.
Incorporate language-specific tooling and VS Code extensions.
Set up post-creation commands for dependency installation and build.
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/ag-devcontainer-setup | bash Capabilities
What this skill does
Writes source code or scripts from a description.
Analyzes code for bugs, style issues, and improvements.
Creates unit, integration, or end-to-end test cases.
Traces errors to their root cause and suggests fixes.
Overview
Devcontainer Setup Skill
What it does
This skill automates the creation of devcontainer configurations for development projects. It detects your project's programming languages (Python, Node/TypeScript, Rust, or Go), then generates a complete `.devcontainer/` directory with a Dockerfile, devcontainer.json configuration, and supporting scripts. The skill configures language-specific VS Code extensions, sets up appropriate tooling, and creates post-creation commands that install dependencies automatically when the container starts.
How it connects
Use this skill when you need to set up a new devcontainer from scratch for a project. It's ideal when you want a sandboxed Claude Code development environment or need isolated development environments with persistent configuration. Don't use it if you already have a devcontainer configuration that just needs modifications, if you're asking general Docker questions, or if you want to deploy production containers-this skill is strictly for development environments.
Source README
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):
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)
- 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
- 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
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
Discussion
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