devcontainer-setup

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.

23 stars

Best use case

devcontainer-setup is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

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.

Teams using devcontainer-setup should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/devcontainer-setup/SKILL.md --create-dirs "https://raw.githubusercontent.com/christophacham/agent-skills-library/main/skills/ai-ml/devcontainer-setup/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/devcontainer-setup/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How devcontainer-setup Compares

Feature / Agentdevcontainer-setupStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

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.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# 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

```mermaid
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

| 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:

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)
- **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:

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

**devcontainer.json extensions:**

Add to `customizations.vscode.extensions`:
```json
"ms-python.python",
"ms-python.vscode-pylance",
"charliermarsh.ruff"
```

Add to `customizations.vscode.settings`:
```json
"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`:
```json
"dbaeumer.vscode-eslint",
"esbenp.prettier-vscode"
```

Add to `customizations.vscode.settings`:
```json
"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:**

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

**devcontainer.json extensions:**

Add to `customizations.vscode.extensions`:
```json
"rust-lang.rust-analyzer",
"tamasfe.even-better-toml"
```

Add to `customizations.vscode.settings`:
```json
"[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:**

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

**devcontainer.json extensions:**

Add to `customizations.vscode.extensions`:
```json
"golang.go"
```

Add to `customizations.vscode.settings`:
```json
"[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`:

```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

Related Skills

genderapi-io-automation

23
from christophacham/agent-skills-library

Automate Genderapi IO tasks via Rube MCP (Composio). Always search tools first for current schemas.

gender-api-automation

23
from christophacham/agent-skills-library

Automate Gender API tasks via Rube MCP (Composio). Always search tools first for current schemas.

fred-economic-data

23
from christophacham/agent-skills-library

Query FRED (Federal Reserve Economic Data) API for 800,000+ economic time series from 100+ sources. Access GDP, unemployment, inflation, interest rates, exchange rates, housing, and regional data. Use for macroeconomic analysis, financial research, policy studies, economic forecasting, and academic research requiring U.S. and international economic indicators.

fidel-api-automation

23
from christophacham/agent-skills-library

Automate Fidel API tasks via Rube MCP (Composio). Always search tools first for current schemas.

fastapi-templates

23
from christophacham/agent-skills-library

Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.

fastapi-router-py

23
from christophacham/agent-skills-library

Create FastAPI routers with CRUD operations, authentication dependencies, and proper response models. Use when building REST API endpoints, creating new routes, implementing CRUD operations, or add...

fastapi-pro

23
from christophacham/agent-skills-library

Build high-performance async APIs with FastAPI, SQLAlchemy 2.0, and Pydantic V2. Master microservices, WebSockets, and modern Python async patterns.

expo-api-routes

23
from christophacham/agent-skills-library

Guidelines for creating API routes in Expo Router with EAS Hosting

esm

23
from christophacham/agent-skills-library

Comprehensive toolkit for protein language models including ESM3 (generative multimodal protein design across sequence, structure, and function) and ESM C (efficient protein embeddings and representations). Use this skill when working with protein sequences, structures, or function prediction; designing novel proteins; generating protein embeddings; performing inverse folding; or conducting protein engineering tasks. Supports both local model usage and cloud-based Forge API for scalable inference.

eodhd-apis-automation

23
from christophacham/agent-skills-library

Automate Eodhd Apis tasks via Rube MCP (Composio). Always search tools first for current schemas.

dotnet-backend

23
from christophacham/agent-skills-library

Build ASP.NET Core 8+ backend services with EF Core, auth, background jobs, and production API patterns.

dotnet-backend-patterns

23
from christophacham/agent-skills-library

Master C#/.NET backend development patterns for building robust APIs, MCP servers, and enterprise applications. Covers async/await, dependency injection, Entity Framework Core, Dapper, configuratio...