Node.js, Docker
Scanned 6/8/2026
Install via CLI
openskills install agentskillexchange/skills---
name: "Devcontainer Setup Agent"
slug: "devcontainer-setup-agent"
description: ""
github_stars: 2637
verification: "security_reviewed"
source: "https://github.com/devcontainers/cli"
author: "devcontainers"
category: "Developer Tools"
framework: "Claude Code"
tool_ecosystem:
github_repo: "devcontainers/cli"
github_stars: 2637
npm_package: "@devcontainers/cli"
npm_weekly_downloads: 260579
---
# Devcontainer Setup Agent
## Prerequisites
Node.js, Docker
## Installation
Use the upstream install or setup path that matches your environment:
- npm install -g @devcontainers/cli
- git clone https://github.com/microsoft/vscode-remote-try-rust
- yarn
- yarn compile
Requirements and caveats from upstream:
- You can install the CLI with a standalone script that downloads a bundled Node.js runtime, so no pre-installed Node.js is required. It works on Linux and macOS (x64 and arm64):
- To install the npm package you will need Python and C/C++ installed to build one of the dependencies (see, e.g., [here](https://github.com/microsoft/vscode/wiki/How-to-Contribute) for instructions).
- [165 ms] Start: Run: docker build -f /home/node/vscode-remote-try-rust/.devcontainer/Dockerfile -t vsc-vscode-remote-try-rust-89420ad7399ba74f55921e49cc3ecfd2 --build-arg VARIANT=bullseye /home/node/vscode-remote-try-...
Basic usage or getting-started notes:
- A development container allows you to use a container as a full-featured development environment. It can be used to run an application, to separate tools, libraries, or runtimes needed for working with a codebase, and...
- [x] devcontainer run-user-commands - Runs lifecycle commands like postCreateCommand
- bash
- Source: https://github.com/devcontainers/cli
- Extracted from upstream docs: https://raw.githubusercontent.com/devcontainers/cli/HEAD/README.md
## Documentation
- https://github.com/devcontainers/cli
## Source
- [Agent Skill Exchange](https://agentskillexchange.com/skills/devcontainer-setup-agent/)
No comments yet. Be the first to comment!
Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.
Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...
**Complete production-ready guide for Google Gemini embeddings API** This skill provides comprehensive coverage of the `gemini-embedding-001` model for generating text embeddings, including SDK usage, REST API patterns, batch processing, RAG integration with Cloudflare Vectorize, and advanced use cases like semantic search and document clustering. ---
Interview, source-challenge, verify, save, and ADR-gate fuzzy coding requests into Codex-ready implementation specs. Use when a feature, bugfix, refactor, migration, repo-wide change, or architecture task needs user-verified requirements, source-backed decisions, durable architecture decisions, acceptance criteria, validation commands, rollout notes, saved spec/ADR files, and a Codex execution prompt. Do not use when already fully specified or when the user wants direct implementation now.
Use when a repo needs CodeGraph plus ast-grep for Codex MCP setup, exploration, impact analysis, structural search, or safe refactor planning.