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Netlify Deploy

Official
openai·vlatest·cloud

Automates Netlify site deployments from code changes, streamlining development workflows and releases.

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 openai/skills --skill netlify-deploy -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

openai

Matched to the vendor's own GitHub organisation.

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: github.com.

    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

    github.comsource host

  • 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 openai/skills at 49f948faa9.

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

Commit
49f948faa9
Manifest
skills/.curated/netlify-deploy/SKILL.md
Scanned
6 files, 866 lines
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

The netlify-deploy skill enables AI agents to deploy web applications directly to Netlify, a cloud platform for deploying static sites and serverless functions. It automates the process of building, testing, and publishing code changes to a live environment with minimal configuration.

When to use it

  • You need to quickly deploy a frontend application or static site after making updates.
  • Your workflow involves continuous integration/continuous deployment (CI/CD) pipelines that require automated deployments.
  • You want to test changes in a production-like environment before full rollout.

Key capabilities

  • Automated deployment of code to Netlify.
  • Integration with version control systems like GitHub or GitLab.
  • Support for custom domains and environment variables.

Example prompts

  • "Deploy the latest commit from the main branch to Netlify."
  • "Publish the updated React app to the staging site on Netlify."
  • "Set up a CI/CD pipeline using Netlify for my static website."

Tips & gotchas

  • Ensure your project is configured with a valid netlify.toml file for proper deployment settings.
  • Deployment may fail if dependencies are not installed or build scripts are missing from the project.