Full-stack dev stack (Next.js + Vercel)
Install a skill or read the field note below to see how we apply this pattern in real Claude Code projects.
The plugins and skills you want on day one of a typed Next.js app. From scaffold to prod, with CI/CD, observability, and release review baked in. Run this command to install a skill and start from a working baseline instead of rebuilding the setup from scratch.
Files this command writes (2 files)
.claude/skills/stack-fullstack/SKILL.md← artifact/SKILL.md.claude/skills/e2e-review/SKILL.md← artifact/skills/e2e-review/SKILL.md
Full-stack dev stack installed. Pair with `stack-ai-agent` if your project also has LLM agent code.
Full-stack dev stack (Next.js + Vercel)
The plugins and skills you want on day one of a typed Next.js app. From scaffold to prod, with CI/CD, observability, and release review baked in.
One line
npx -y frenxt-cables stack stack-fullstack --force
What it installs
Claude plugins (14):
superpowers,claude-md-management,claude-code-setupfeature-dev,code-review,code-simplifier,commit-commands,github,security-guidancefrontend-design,vercel,netlify-skillssentry,posthog,linear
Skill:
e2e-review. Coverage audit after UI changes / before releases (Playwright/Cypress/Jest-agnostic)
When to use this
New Next.js/Vercel or Netlify project where you want the full shipping loop. Plan → build → review → deploy → monitor. Available from the first commit.
When not
Pure AI-agent work → use stack-ai-agent. Pure UI exploration → use stack-ux.
Quick answers
What do I get from this cable?
You get a skill plus a dated field note that explains how we use it in real Claude Code workflows.
How much time should I budget?
Typical effort is 5 min. The cable is marked intermediate.
How do I install the artifact?
Run npx frenxt-cables add stack-fullstack. The install block shows the files it writes and any prerequisites before you run it.
How fresh is the guidance?
The cable is explicitly last verified on 2026-04-18, and includes source links for traceability.
Work with FRE|Nxt
We build the production AI systems we write about.
Cables are the field notes. The playbooks come from client engagements — multi-agent systems, RAG pipelines, and LLM cost cuts that ship and hold up in production. If something here maps to a problem on your roadmap, two ways in:
Audit capacity: 5 slots/month · No pitch deck · NDA on request
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