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Agent skill

Shipwright Pipeline

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Autonomous app builder that converts plain-English descriptions into fully built, tested applications.

MITAuto-check passedWriting & Content

Install Shipwright Pipeline

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill shipwright-pipeline -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace shipwright-pipeline --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/shipwright-pipeline .claude/skills/shipwright-pipeline && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
shipwright-pipeline
GitHub stars
2.8k
Token cost
~808 tokens
SKILL.md length
261 words
Files
2 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Autonomous app builder that converts plain-English descriptions into fully built, tested applications.

  • Works in 5 steps: Gather the app description from the… → Confirm the target stack. If none… → Run product-agent with the app… → …
  • The user wants to build a new app
  • SKILL.md covers Overview, Prerequisites, Supported Stacks and Instructions, plus 4 more sections
  • Calls pip

What it does

Shipwright Pipeline is an agent skill from jeremylongshore/tons-of-skills-marketplace. 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".

Its SKILL.md is about 810 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/examples.md`). Compatibility notes: Designed for Claude Code

It sits in Writing & Content, covering Plain language and style rules. It works with Next.js. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • The user wants to build a new app
  • Scaffold a project
  • Generate a full-stack application
  • Create an app from a description

Example prompts

  • “build me an app”
  • “create a new app”
  • “shipwright build”
  • “/shipwright-pipeline”

Requirements

  • Python 3
  • Node.js
  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Write, Edit, Grep, Glob, Bash(pip:*), Bash(python:*), Bash(npm:*), Bash(npx:*), Bash(git:*)

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  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
  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.

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Grep
    • Glob
    • Bash(pip:*)
    • Bash(python:*)
    • Bash(npm:*)
    • Bash(npx:*)
    • Bash(git:*)

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • pip

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • github.com
    • pypi.org

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Designed for Claude Code

    From compatibility in the SKILL.md frontmatter.

Context cost

Shipwright Pipeline loads about 808 tokens when it runs, and up to ~1k if it reads all its reference files. Until then it costs about 95 tokens; SKILL.md has 261 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~95
When it runs · the whole SKILL.md, loaded when a task matches
~808
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 261 words, ~808 tokens.

Download SKILL.mdSave it as .claude/skills/shipwright-pipeline/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
shipwright-pipeline
description
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".
allowed-tools
Read, Write, Edit, Grep, Glob, Bash(pip:*), Bash(python:*), Bash(npm:*), Bash(npx:*), Bash(git:*)
compatibility
Designed for Claude Code
version
1.3.0
author
Nate Nelson <nate@blacksheephq.ai>
license
MIT
tags
ai-agency, app-builder, code-generator, autonomous-agent

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

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skills/.curated/shipwright-pipeline of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • references/examples.md

Open the folder on GitHubat commit cfae287

Compare with similar skills

Shipwright Pipeline next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Shipwright Pipeline compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Shipwright Pipeline this skilljeremylongshore/tons-of-skills-marketplace2.8k—~808Automated safety check: PassMIT
PgjevrealZachi/pg-jev1.1k—~2.9kAutomated safety check: PassCustom licence
Asd Ste100danyuchn/asd-ste100-skill4.3k—~4.1kAutomated safety check: PassMIT
Technical Writing Standardcursor/plugins11k10 repos~2.3kAutomated safety check: PassNone
Ponytail AuditDietrichGebert/ponytail160k—~1.4kAutomated safety check: PassMIT
Natural Japanese Business Writingcoji/natural-japanese1.9k—~2.1kAutomated safety check: PassMIT

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Works with

Categories

Questions about Shipwright Pipeline

What does Shipwright Pipeline do?

Autonomous app builder that converts plain-English descriptions into fully built, tested applications. Shipwright Pipeline is an agent skill from jeremylongshore/tons-of-skills-marketplace. Autonomous app builder that converts plain-English descriptions into fully built, tested applications.

When should I use Shipwright Pipeline?

Shipwright Pipeline fits situations like: the user wants to build a new app; scaffold a project; generate a full-stack application; create an app from a description.

How do I install Shipwright Pipeline in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill shipwright-pipeline -a claude-code`. Or copy the skill folder (skills/.curated/shipwright-pipeline in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/shipwright-pipeline in your project. Claude Code loads it when a task matches its description.

How do I install Shipwright Pipeline in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill shipwright-pipeline -a codex`. Or copy the skill folder (skills/.curated/shipwright-pipeline in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/shipwright-pipeline in your project. Codex loads it when a task matches its description.

Can I use Shipwright Pipeline in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill shipwright-pipeline -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/shipwright-pipeline, .gemini/skills/shipwright-pipeline, .github/skills/shipwright-pipeline and .opencode/skills/shipwright-pipeline in your project.

What does Shipwright Pipeline need to run?

Going by SKILL.md and its folder, Shipwright Pipeline needs the command-line tools its instructions call (pip). Our summary lists: Python 3; Node.js. Its frontmatter pre-approves these tools: Read, Write, Edit, Grep, Glob, Bash(pip:*), Bash(python:*), Bash(npm:*), Bash(npx:*), Bash(git:*). Compatibility (from SKILL.md): Designed for Claude Code.

Does Shipwright Pipeline access the network?

SKILL.md names 2 domains. As links in the text: github.com and pypi.org. This is read from the text; nothing was executed.

Is Shipwright Pipeline safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Shipwright Pipeline use?

Shipwright Pipeline is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Shipwright Pipeline use?

About 808 tokens (SKILL.md is roughly 3.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 232 tokens, read only when the agent opens those files.

What are the alternatives to Shipwright Pipeline?

Skills that share tags, products or a category with Shipwright Pipeline: Pgjev (realZachi/pg-jev, 1.1k stars), Asd Ste100 (danyuchn/asd-ste100-skill, 4.3k stars), Technical Writing Standard (cursor/plugins, 11k stars) and Ponytail Audit (DietrichGebert/ponytail, 160k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Shipwright Pipeline?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.