Ship

Organization

Code-with-Beto

ship

Scaffold production-ready React Native apps using the @codewithbeto/ship CLI. Use when the user wants to create a new app from a Code with Beto template, scaffold a project with Platano, or run `bunx @codewithbeto/ship`. Always use flag-based (non-interactive) mode — the interactive TUI requires a terminal.

Overview

Publisher	Code-with-Beto
Repository	`skills`
Skill name	`ship`
Stars	144
Forks	13
Bundled files	Instructions only
Links	Skill source Repository Homepage

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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by Code-with-Beto on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/Code-with-Beto/skills/tree/main/plugins/cwb-ship/skills/ship
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.

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/Code-with-Beto/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/plugins/cwb-ship/skills/ship .claude/skills/ship

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ship 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 Ship 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 Ship 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.

@codewithbeto/ship

Ship a revenue-ready AI image app this weekend. Built by Code with Beto — Platano landing page

Quick start

bash
bunx @codewithbeto/ship --name my-app

Flags

Flag	Required	Default
`--name <dir>`	Yes	—
`--template <name>`	No	`platano`
`--app-name <name>`	No	title-cased `--name`
`--bundle-id <id>`	No	`com.<user>.<slug>`
`--payments` / `--no-payments`	No	`--payments`
`--rc-key-ios <key>`	No	—
`--rc-key-android <key>`	No	same as iOS key
`--dry-run`	No	—

What it does

Clone the template repo (shallow, then remove .git)
Configure app name, bundle ID, slug, and payment keys
Run bun install
Initialize a fresh git repo with baseline commit

Output

stderr — progress logs (checking access, cloning, configuring)
stdout — structured result on success:


name: my-app
app_name: My App
bundle_id: com.beto.my-app
slug: my-app
payments: true
template: platano
directory: my-app

Error handling

Errors go to stderr and exit with code 1. Common failures:

Access denied — user needs Pro access at https://cwb.sh/platano
Directory exists — pick a different --name
Install failed — ensure bun is available

After scaffolding

bash
cd <project-name>
npx expo start

Frequently asked questions

What does the Ship AI skill do?

Why use Ship on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Code-with-Beto/skills/tree/main/plugins/cwb-ship/skills/ship. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ship?

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 Ship?

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

Is the Ship AI skill free?

It is published on GitHub by Code-with-Beto. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

@codewithbeto/ship

Quick start

Flags

What it does

Output

Error handling

After scaffolding

Links

Frequently asked questions

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