By svenroth-ai
Orchestrate the full Shipwright SDLC pipeline from user description to deployed application, coordinating phases (project, design, plan, build, test, changelog, deploy) via subagents and managing project state with shell hooks.
Modifies files
Hook triggers on file write and edit operations
Uses power tools
Uses Bash, Write, or Edit tools
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Ship right, not just fast.
AI can build your software now. The hard part is keeping it true to what you already decided, on every change, not just the first.
Shipwright is the harness your AI follows. On every change it checks the work back against your baseline (requirements, architecture, past decisions) and won't let through a change that silently drops a requirement or reverses a call you already made. That is enforced in code, not left to the model to remember; the traceability and audit trail just fall out of it.
/shipwright-iterate "Add a dark mode toggle"
What comes with it: a failing test written first, the change, your specs and traceability updated to match, and a clean Conventional-Commit PR, security-scanned and gated on green checks. Nothing you'd already settled gets quietly undone.
Not a stack framework, not autonomous codegen, just the discipline layer that makes whatever generates your code something you can stand behind. Use it from the Claude Code VSCode Extension or CLI terminal, or for multi-project work through the Shipwright Command Center web UI. Built for daily iteration, not one-shot generation. It scales from a one-line change to a whole new app:
/shipwright-run "A SaaS time tracking app with Supabase and Next.js"
Beta: Shipwright is in active beta. It builds itself daily, but you're an early user, so expect the occasional rough edge. Report issues and feedback are very welcome.
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| Kanban board across every Shipwright project: Backlog, In Progress, In Review, Done. One place to see where everything stands. | Task detail: embedded terminal, Project File Viewer, Markdown Editor. |
The Command Center is the browser surface for the same skills you run in the terminal or VS Code Extension. Instead of keeping 4 terminal windows or VS Code sessions open for 4 projects, you get one kanban board, one inbox for agent questions, and one place to launch a new pipeline or iterate. When you launch, the claude command runs in an embedded terminal on the task page, and the Command Center follows the session live. It lives in its own repo. See Start the Command Center.
/shipwright-run, iterate daily with /shipwright-iterate, or invoke any single skill on its own.main runs through the same pipeline, scanner chain, and compliance gates it ships to you.npx claudepluginhub svenroth-ai/shipwright --plugin shipwright-runImplement code from /shipwright-plan sections with TDD, code review, Conventional Commits, and git workflow
AI-assisted deep planning with research, interview, external LLM review, and TDD approach
Complexity-adaptive SDLC for ongoing changes. Auto-detects intent + complexity, scales from quick fix to structured feature with specs, plans, reviews, and testing.
Grade any git repository against the Control Grade rubric — a read-only, deterministic cold-repo grader that reuses the same scoring engine as the compliance dashboard and certification. Underivable dimensions render honest n/a.
Local browser preview for Shipwright projects — starts dev server and shows URL
v9.54.1 — Reliability wave: tangle contextual review correction loop with hard round ceiling, progress-supervised review rounds (per-agent stall watch, descendant-tree kills), council diversity and agy pin fixes, marketplace generator source-of-truth fix, provider troubleshooting runbook and cost-expectations docs. Run /octo:setup.
Consult multiple AI coding agents (Gemini, OpenAI, Grok, Perplexity, plus codex, antigravity, and grok CLIs when installed) to get diverse perspectives on coding problems
Complete creative writing suite with 10 specialized agents covering the full writing process: research gathering, character development, story architecture, world-building, dialogue coaching, editing/review, outlining, content strategy, believability auditing, and prose style/voice analysis. Includes genre-specific guides, templates, and quality checklists.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Comprehensive startup business analysis with market sizing (TAM/SAM/SOM), financial modeling, team planning, and strategic research
Persistent coding companion for Claude Code, Pi, and Oh My Pi. MCP-based terminal pet with ASCII art, stats, reactions, and personality.