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Shipwright Pipeline Skill for Claude

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".

1k tokens
context cost
the whole folder, loaded on every use
2
files
instructions only
0
copies elsewhere
how many repositories repackaged it
2679
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/jeremylongshore/tons-of-skills-marketplace --skill shipwright-pipeline

What comes with it

927 bytes besides the instruction
references/examples.md

What it tells the agent to use

found in the instruction text
Bash runs shell commands — read the instruction before connecting

The instruction itself

9 sections, as written by the author

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

  • Gather the app description from the user. Ask clarifying questions if the description is vague.
  • 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
  • Run product-agent with the app description and selected stack.
  • Monitor the 9-phase pipeline: Intake, Architecture, Scaffold, Implement, Test, Integrate, Polish, Validate, Ship.
  • 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

How to use it

Copy the folder

Take jeremylongshore/shipwright-pipeline from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.

Install what it needs

The instructions reference pip. Without those the skill loads but fails at the first command.