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Docker Local Dev

Checked
thienanblog·vlatest·cloud·Apache-2.0

Quickly spin up local development environments using Docker containers defined in your project's repository.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add thienanblog/awesome-ai-agent-skills --skill docker-local-dev -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

thienanblog

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Only contacts known or declared hosts: 127.0.0.1.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

    Hosts contacted

    127.0.0.1local
  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned thienanblog/awesome-ai-agent-skills at 3e98ac3c2c.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
56 files, 7,618 lines
Copies in repo
2 — all of them scanned
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

The docker-local-dev skill enables AI agents to execute Docker commands directly within a local development environment, streamlining container management without requiring cloud infrastructure. It allows for rapid setup, teardown, and inspection of containers tailored to specific project needs.

When to use it

  • Spin up ephemeral database instances for testing migrations before committing code.
  • Isolate backend services in separate containers during frontend debugging sessions.
  • Quickly verify application compatibility by running builds inside the target runtime image.
  • Clean up unused container resources to free up local disk space after development sprints.

Key capabilities

  • Execute standard Docker CLI commands via agent invocation.
  • Manage container lifecycles including build, run, stop, and remove operations.
  • Inspect running containers for logs, network status, and resource usage.
  • Define custom volumes to persist data between container restarts locally.

Example prompts

  • "Create a PostgreSQL container with the latest version and mount my local data directory as a volume."
  • "Run a Python Flask app inside a Docker container using the specified requirements file."
  • "List all running containers and show me the logs for any that are currently in an error state."

Tips & gotchas

Ensure Docker is installed and running on your local machine before invoking this skill, as the agent relies on the host environment. Be mindful of permission settings when mounting local directories to avoid security risks or read/write failures.