Skill

Generate Devcontainer Configuration

Generates pre-configured devcontainer setups with Claude Code and language-specific tooling for Python, Node/TypeScript, Rust, and Go projects.

Works with githubdocker

46
Spark score
out of 100
Updated yesterday
Version 13.1.0

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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

01

Detect project languages and infer project name.

02

Generate Dockerfile and devcontainer.json configurations.

03

Incorporate language-specific tooling and VS Code extensions.

04

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

Generate code

Writes source code or scripts from a description.

Review code

Analyzes code for bugs, style issues, and improvements.

Write tests

Creates unit, integration, or end-to-end test cases.

Debug

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):

  1. package.jsonname field
  2. pyproject.tomlproject.name
  3. Cargo.tomlpackage.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:

# 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.yamluv run /opt/post_install.py && pnpm install --frozen-lockfile
  • yarn.lockuv run /opt/post_install.py && yarn install --frozen-lockfile
  • package-lock.jsonuv 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

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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