lgbarn

lgbarn / shipyard

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Structured project lifecycle plugin for Claude Code β€” from idea to production with discipline, parallel agents, and quality gates.

42
0
100% credibility
Found Feb 03, 2026 at 26 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Shell
AI Summary

Shipyard is a plugin for an AI coding tool that provides a structured pipeline for developing software projects through phases of planning, execution, review, auditing, and delivery using coordinated helpers.

How It Works

1
πŸ” Discover Shipyard

You hear about Shipyard, a helpful guide that turns your software ideas into finished projects step by step, keeping everything organized and reliable.

2
πŸ“₯ Add the Helper

You simply tell your AI coding buddy to add Shipyard, and it becomes part of your toolkit right away.

3
πŸš€ Kick Off Your Project

You say 'start Shipyard' in your project folder, and it gathers your goals, studies what's there, and creates a clear roadmap of phases to follow.

4
πŸ“‹ Plan a Phase

You ask it to plan the next part of the work, breaking it into small, doable tasks with research and details.

5
πŸ”¨ Build and Check

You tell it to build, and smart helpers work together to create, test, review, and polish the code safely.

6
πŸ“Š Check Progress

You glance at the status anytime to see what's done, what's next, and get suggestions on what to do.

7
πŸš€ Ship It Out

When ready, you say 'ship,' and it verifies everything, packages it up, and delivers your project confidently.

πŸŽ‰ Project Alive!

Your software is complete, secure, and live, built with discipline so you can focus on what matters next.

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AI-Generated Review

What is shipyard?

Shipyard turns Claude Code sessions into a disciplined project pipeline, taking you from idea to shipped code via phases like brainstorm, plan, build, and ship. It dispatches parallel agents for tasks, enforces TDD, code reviews, security audits, and IaC validation, all managed through slash commands like `/shipyard:build` or `/shipyard:ship`. Built in Shell for Claude Code, it delivers structured output for LLM-driven workflows, persisting state across sessions in a `.shipyard/` dir.

Why is it gaining traction?

Unlike raw Claude Code prompts that wander into bloat, Shipyard enforces fresh contexts per task, atomic commits, and quality gates to produce clean, verifiable code. Parallel agents and experimental agent teams support scale independent work without context pollution, while on-demand tools like `/shipyard:audit` or `/shipyard:simplify` catch issues early. Devs dig the dashboard via `/shipyard:status` and git worktree integration for isolated features.

Who should use this?

Full-stack devs building apps with Claude Code who hate debugging AI hallucinations. Backend engineers handling Terraform or Docker needing built-in validation. Teams experimenting with agent teams for structured project management on GitHub repos.

Verdict

Grab it if Claude Code is your daily driverβ€”solid docs, tests, and agent protocols make the 35 stars and 1.0% credibility score feel like early upside, not red flags. Still maturing; test on side projects first.

(178 words)

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