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Shipwright Pipeline

CommunityPopular
jeremylongshore
shipwright-pipeline

Autonomous app builder that converts plain-English descriptions into fully built, tested applications. Use when the user wants to build a new app, scaffold a project, generate a full-stack application, or create an app from a description. Trigger with "build me an app", "create a new app", "shipwright build", "scaffold a project", "generate an application".

Overview

Publisherjeremylongshore
Repositorytons-of-skills-marketplace
Skill nameshipwright-pipeline
Stars
2.8K
Forks
402
Bundled files
1
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • 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.

  • 1 bundled files

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

  • Open source

    Published by jeremylongshore on GitHub. Read the source before you install it.

Installation

Install the Shipwright Pipeline 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/jeremylongshore/tons-of-skills-marketplace.git /tmp/tons-of-skills-marketplace
mkdir -p .claude/skills
cp -r /tmp/tons-of-skills-marketplace/plugins/ai-agency/shipwright/skills/shipwright-pipeline .claude/skills/shipwright-pipeline
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Shipwright Pipeline 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 Shipwright Pipeline 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 Shipwright Pipeline 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.

Shipwright Pipeline

Overview

Shipwright converts a plain-English app description into a fully built, tested, and deployment-ready application. It delegates execution to product-agent, an autonomous 9-phase build engine available on PyPI.

Prerequisites

  • Python 3.10+ available in PATH.
  • product-agent installed (pip install product-agent).
  • Node.js 18+ for JavaScript/TypeScript stacks.

Supported Stacks

  • Next.js + Supabase — Full-stack with auth, database, and edge functions
  • Next.js + Prisma — Full-stack with type-safe ORM
  • SvelteKit — Lightweight full-stack with Svelte
  • Astro — Content-focused static and hybrid sites

Instructions

  1. Gather the app description from the user. Ask clarifying questions if the description is vague.
  2. Confirm the target stack. If none specified, recommend based on the app type:
    • Data-heavy with auth: Next.js + Supabase
    • API-first with complex models: Next.js + Prisma
    • Lightweight interactive: SvelteKit
    • Content or marketing site: Astro
  3. Run product-agent with the app description and selected stack.
  4. Monitor the 9-phase pipeline: Intake, Architecture, Scaffold, Implement, Test, Integrate, Polish, Validate, Ship.
  5. Report results to the user including test summary and any warnings.

Output

  • A complete, buildable project directory with all source code, tests, and configuration.
  • A test report summarizing pass/fail counts.
  • Build verification output confirming the project compiles and starts.

Error Handling

  • If product-agent is not installed, prompt the user to install it with pip install product-agent.
  • If a phase fails, report the phase name, error message, and suggested fix.
  • If the selected stack is not supported, list available stacks and ask the user to choose.

Examples

Build a SaaS dashboard:

/shipwright-build Build a real-time analytics dashboard with user auth, team workspaces, and Stripe billing. Use Next.js + Supabase.

Add features to an existing project:

/shipwright-enhance Add dark mode toggle, export-to-CSV on all tables, and email notification preferences.

Scaffold a content site:

/shipwright-build Create a developer documentation site with search, versioned docs, and a blog. Use Astro.

Resources

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 Shipwright Pipeline AI skill do?

Autonomous app builder that converts plain-English descriptions into fully built, tested applications. Use when the user wants to build a new app, scaffold a project, generate a full-stack application, or create an app from a description. Trigger with "build me an app", "create a new app", "shipwright build", "scaffold a project", "generate an application".

Why use Shipwright Pipeline on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/ai-agency/shipwright/skills/shipwright-pipeline. 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 Shipwright Pipeline?

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 Shipwright Pipeline?

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

Is the Shipwright Pipeline AI skill free?

Yes. It is published on GitHub by jeremylongshore 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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