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Static Deploy

OrganizationPopular
nexu-io
static-deploy

Deploy static pages to nexu.space. Use when user says deploy, publish, ship, or go live with a static site/page. Uploads files from workspace to <project-slug>.nexu.space via Wrangler + Cloudflare Pages. Supports first deploy and redeploy.

Overview

Publishernexu-io
Repositorynexu
Skill namestatic-deploy
Stars
3.3K
Forks
263
Bundled files
2
LicenseMIT
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.

  • 2 bundled files

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

  • Open source

    Published by nexu-io on GitHub. Read the source before you install it.

Installation

Install the Static 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.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/nexu-io/nexu.git /tmp/nexu
mkdir -p .claude/skills
cp -r /tmp/nexu/skills/nexubot/static-deploy .claude/skills/static-deploy
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Static 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 Static 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 Static 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.

Static Deploy

Deploy static files to <project-slug>.nexu.space via Wrangler + Cloudflare Pages.

The deploy script stages a temporary copy of the site and injects a _headers file (if needed) with cache revalidation rules for HTML/CSS/JS to reduce stale asset issues after redeploys. Source files are not modified.

What it deploys

Any static files: HTML, CSS, JS, images, fonts, etc. Common use cases:

  • Single-page apps (React, Vue, etc. — deploy the dist/ or build/ folder)
  • Landing pages, portfolios, documentation sites
  • Quick prototypes or demos
  • Any folder with an index.html

Usage

  1. Identify the directory containing files to deploy (must have an index.html)
  2. Derive a project-slug from context (e.g., "family budget" → family-budget)
    • Lowercase alphanumeric + hyphens only, max 63 characters
    • Reuse the same slug for redeployments
    • Ask user to confirm if ambiguous
  3. Run deploy with the inbound structured context:
bash
"$SKILL_DIR/scripts/deploy.sh" <project-slug> <directory> <agent-id> <chat-id> [thread-id] [message-ref] [account-id] [channel] [chat-type] [sender-ref]

agent-id is required. The script uses it to resolve the corresponding botId from nexu-context.json when recording deployment artifacts.

chat-id is the raw inbound chat identifier from the message context.

  • DM example: U0AHLMC6C8G
  • Channel example: C0AJKG60H6D

chat-type tells the script whether to send that id to Nexu as user:<chat-id> or channel:<chat-id>. The script does that translation; do not concatenate those prefixes yourself.

thread-id is optional — pass it when deploying from within a thread context. 4. Parse the JSON output and report to user:

  • Brief summary of what was deployed
  • Live URL from the url field
  • Important: Tell the user that Cloudflare Pages propagation takes ~3 minutes. The URL may not work immediately after the first deploy. For redeployments, it's usually faster.

Example reply

Deployed! Your site is live at https://family-budget.nexu.space

Note: First-time deploys take ~3 minutes to propagate on Cloudflare. If you see a "not found" page, wait a few minutes and refresh.

Rules

  • Never read, echo, or log SKILL_API_TOKEN, CLOUDFLARE_API_TOKEN, or CLOUDFLARE_ACCOUNT_ID
  • Never pass credentials as command arguments
  • Always use the bundled deploy.sh — do not call Cloudflare API directly
  • Do not set DEPLOY_BACKEND or any other env overrides — the script handles everything
  • Always pass the caller <agent-id> as arg #3 to deploy.sh
  • Always pass raw inbound <chat-id> as arg #4
  • Never pass <agent-id> as <chat-id>; they are different values
  • If deploying from a thread, pass <thread-id> as arg #5
  • Always pass <channel> and <chat-type> when available so Nexu can resolve the correct session deterministically
  • Do not try to look up or persist a canonical session key in this skill; Nexu resolves it server-side
  • Do not hand-edit source files just to add cache-busting query params; the deploy script handles cache revalidation via a staged _headers file
  • If the script fails, show the message field from the JSON error to the user
  • Cloudflare credentials are fetched at runtime via the scoped secrets API using SKILL_API_TOKEN from env — do not attempt to read or inject them manually

Output Format

Success:

json
{
  "status": "success",
  "url": "https://<slug>.nexu.space",
  "deployment_url": "https://<id>.<slug>.pages.dev",
  "files_total": 10,
  "files_uploaded": 2,
  "files_cached": 8
}

Error:

json
{
  "status": "error",
  "message": "Description of what went wrong"
}

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 Static Deploy AI skill do?

Deploy static pages to nexu.space. Use when user says deploy, publish, ship, or go live with a static site/page. Uploads files from workspace to <project-slug>.nexu.space via Wrangler + Cloudflare Pages. Supports first deploy and redeploy.

Why use Static Deploy on TypingMind?

Because you install it once and use it with any model. Static 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 Static Deploy in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nexu-io/nexu/tree/main/skills/nexubot/static-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 Static 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 Static Deploy?

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

Is the Static Deploy AI skill free?

Yes. It is published on GitHub by nexu-io under the MIT license. 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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