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Netlify Deploy

OrganizationPopular
tech-leads-club
netlify-deploy

Deploy web projects to Netlify using the Netlify CLI (`npx netlify`). Use when the user asks to deploy, host, publish, or link a site/repo on Netlify, including preview and production deploys. Do NOT use for deploying to Vercel, Cloudflare, or Render (use their respective skills).

Overview

Publishertech-leads-club
Repositoryagent-skills
Skill namenetlify-deploy
Stars
6.3K
Forks
530
Bundled files
3
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by tech-leads-club on GitHub. Read the source before you install it.

Installation

Install the Netlify Deploy AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Use it in TypingMind

Enable Netlify Deploy in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Netlify Deploy on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Netlify Deploy is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Netlify Deployment Skill

Deploy web projects to Netlify using the Netlify CLI with intelligent detection of project configuration and deployment context.

Overview

This skill automates Netlify deployments by:

  • Verifying Netlify CLI authentication
  • Detecting project configuration and framework
  • Linking to existing sites or creating new ones
  • Deploying to production or preview environments

Prerequisites

  • Netlify CLI: Installed via npx (no global install required)
  • Authentication: Netlify account with active login session
  • Project: Valid web project in current directory
  • When sandboxing blocks the deployment network calls, rerun with sandbox_permissions=require_escalated.
  • The deployment might take a few minutes. Use appropriate timeout values.

Authentication Pattern

The skill uses the pre-authenticated Netlify CLI approach:

  1. Check authentication status with npx netlify status
  2. If not authenticated, guide user through npx netlify login
  3. Fail gracefully if authentication cannot be established

Authentication uses either:

  • Browser-based OAuth (primary): netlify login opens browser for authentication
  • API Key (alternative): Set NETLIFY_AUTH_TOKEN environment variable

Workflow

1. Verify Netlify CLI Authentication

Check if the user is logged into Netlify:

bash
npx netlify status

Expected output patterns:

  • ✅ Authenticated: Shows logged-in user email and site link status
  • ❌ Not authenticated: "Not logged into any site" or authentication error

If not authenticated, guide the user:

bash
npx netlify login

This opens a browser window for OAuth authentication. Wait for user to complete login, then verify with netlify status again.

Alternative: API Key authentication

If browser authentication isn't available, users can set:

bash
export NETLIFY_AUTH_TOKEN=your_token_here

Tokens can be generated at: https://app.netlify.com/user/applications#personal-access-tokens

2. Detect Site Link Status

From netlify status output, determine:

  • Linked: Site already connected to Netlify (shows site name/URL)
  • Not linked: Need to link or create site

3. Link to Existing Site or Create New

If already linked → Skip to step 4

If not linked, attempt to link by Git remote:

bash
# Check if project is Git-based
git remote show origin

# If Git-based, extract remote URL
# Format: https://github.com/username/repo or git@github.com:username/repo.git

# Try to link by Git remote
npx netlify link --git-remote-url <REMOTE_URL>

If link fails (site doesn't exist on Netlify):

bash
# Create new site interactively
npx netlify init

This guides user through:

  1. Choosing team/account
  2. Setting site name
  3. Configuring build settings
  4. Creating netlify.toml if needed

4. Verify Dependencies

Before deploying, ensure project dependencies are installed:

bash
# For npm projects
npm install

# For other package managers, detect and use appropriate command
# yarn install, pnpm install, etc.

5. Deploy to Netlify

Choose deployment type based on context:

Preview/Draft Deploy (default for existing sites):

bash
npx netlify deploy

This creates a deploy preview with a unique URL for testing.

Production Deploy (for new sites or explicit production deployments):

bash
npx netlify deploy --prod

This deploys to the live production URL.

Deployment process:

  1. CLI detects build settings (from netlify.toml or prompts user)
  2. Builds the project locally
  3. Uploads built assets to Netlify
  4. Returns deployment URL

6. Report Results

After deployment, report to user:

  • Deploy URL: Unique URL for this deployment
  • Site URL: Production URL (if production deploy)
  • Deploy logs: Link to Netlify dashboard for logs
  • Next steps: Suggest netlify open to view site or dashboard

Handling netlify.toml

If a netlify.toml file exists, the CLI uses it automatically. If not, the CLI will prompt for:

  • Build command: e.g., npm run build, next build
  • Publish directory: e.g., dist, build, .next

Common framework defaults:

  • Next.js: build command npm run build, publish .next
  • React (Vite): build command npm run build, publish dist
  • Static HTML: no build command, publish current directory

The skill should detect framework from package.json if possible and suggest appropriate settings.

Example Full Workflow

bash
# 1. Check authentication
npx netlify status

# If not authenticated:
npx netlify login

# 2. Link site (if needed)
# Try Git-based linking first
git remote show origin
npx netlify link --git-remote-url https://github.com/user/repo

# If no site exists, create new one:
npx netlify init

# 3. Install dependencies
npm install

# 4. Deploy (preview for testing)
npx netlify deploy

# 5. Deploy to production (when ready)
npx netlify deploy --prod

Error Handling

Common issues and solutions:

"Not logged in" → Run npx netlify login

"No site linked" → Run npx netlify link or npx netlify init

"Build failed" → Check build command and publish directory in netlify.toml or CLI prompts → Verify dependencies are installed → Review build logs for specific errors

"Publish directory not found" → Verify build command ran successfully → Check publish directory path is correct

Troubleshooting

Escalated Network Access

If deployment fails due to network issues (timeouts, DNS errors, connection resets), rerun the deploy with escalated permissions (use sandbox_permissions=require_escalated). The deploy requires escalated network access when sandbox networking blocks outbound requests.

Example guidance to the user:

The deploy needs escalated network access to deploy to Netlify. I can rerun the command with escalated permissions—want me to proceed?

Environment Variables

For secrets and configuration:

  1. Never commit secrets to Git
  2. Set in Netlify dashboard: Site Settings → Environment Variables
  3. Access in builds via process.env.VARIABLE_NAME

Tips

  • Use netlify deploy (no --prod) first to test before production
  • Run netlify open to view site in Netlify dashboard
  • Run netlify logs to view function logs (if using Netlify Functions)
  • Use netlify dev for local development with Netlify Functions

Reference

Bundled References (Load As Needed)

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Netlify Deploy AI skill do?

Deploy web projects to Netlify using the Netlify CLI (`npx netlify`). Use when the user asks to deploy, host, publish, or link a site/repo on Netlify, including preview and production deploys. Do NOT use for deploying to Vercel, Cloudflare, or Render (use their respective skills).

Why use Netlify Deploy on TypingMind?

Because you install it once and use it with any model. Netlify Deploy is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Netlify Deploy in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/tech-leads-club/agent-skills/tree/main/packages/skills-catalog/skills/(cloud)/netlify-deploy. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Netlify Deploy?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Netlify Deploy?

As many as you like. As long as a model supports skills, you can use Netlify Deploy with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Netlify Deploy AI skill free?

It is published on GitHub by tech-leads-club. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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