Devcontainer setup
Awesome Claude Skills, Tools for Customizing Claude AI workflows
npx -y skills add ranbot-ai/awesome-skills --skill devcontainer-setupAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
- 6 stars6 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
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 envi
SKILL.md
5.4 KB, ~1.3k tokens by cl100k_base, as published. Nobody here has run it
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]": {
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.