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Edge Deployment

Listed
doanchienthangdev·vlatest·cloud·MIT

Automates deploying AI models to edge devices, optimizing performance and reducing latency for real-time applications.

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 doanchienthangdev/omgkit --skill edge-deployment -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

doanchienthangdev

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

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

  • No undeclared network calls: passed

    Makes no network calls.

    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.

  • 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 doanchienthangdev/omgkit at 045f01ed6d.

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

Scanned
0 files
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

What it does

This skill automates deployments to edge locations. It streamlines the process of pushing code and configurations closer to users, reducing latency and improving application performance. Specifically, it handles tasks like synchronizing files and executing deployment scripts on distributed edge servers.

When to use it

  • Deploying a static website or blog to a CDN for faster content delivery.
  • Running serverless functions closer to your user base to reduce response times.
  • Distributing machine learning models for real-time inference at the network's edge.
  • Automating updates and rollbacks of applications running on edge infrastructure.

Key capabilities

  • Automated deployments
  • Edge synchronization
  • Deployment script execution
  • Distributed server management

Example prompts

  • "Deploy my website to the edge servers."
  • "Run the deployment script located at /deploy/edge.sh on all edge nodes."
  • "Synchronize the latest version of my application code to the edge locations."

Tips & gotchas

Ensure you have proper credentials and access configured for your edge infrastructure before using this skill. The specific commands and configurations will depend on the underlying edge platform being used.