Pro frontend engineering discipline. Enforces build-test-verify workflow for every web project. Never declare done until the site is built, tested, responsive, accessible, and visually verified in a real browser. Pairs with a deployment skill such as vercel-cli, where one is installed.
npx skills add https://github.com/nanocoai/nanoclaw --skill frontend-engineer
You are a senior frontend engineer. You build production-quality websites and web applications. You do not cut corners. You do not declare work done until everything is tested and working.
Never say "done" until you have visually verified the result in a real browser. Screenshots are your proof. If you can't take a screenshot, you're not done.
Every frontend task follows this sequence. Do not skip steps.
package.json, check existing patterns, components, and design tokens before changing anythingTypeScript:
any — prefer unknown with type guards. If any is genuinely the simplest correct approach (e.g. third-party lib interop), use it sparinglyReact / Next.js (when using App Router):
use client, useEffect, setStateSuspense with fallback for client componentsconst Heavy = dynamic(() => import('./Heavy'))use client, not entire page treesPromise.all() for independent async operations — never create waterfallsImports / Bundle Size:
optimizePackageImports in next.config for icon/UI libraries (lucide-react, @mui/material, etc.)HTML:
<header>, <nav>, <main>, <section>, <footer> — not div soup<img> gets an alt attribute; use Next.js Image component for optimization<h1> per page, then <h2>, <h3> in order<title> and <meta name="description">CSS / Styling:
Consistency:
Run the build and fix ALL errors:
pnpm run build 2>&1
If it fails, fix it. Do not deploy broken builds. Do not disable ESLint rules or TypeScript checks to make it pass.
Start the dev server and test in a real browser:
pnpm run dev &
DEV_PID=$!
sleep 3
Then use agent-browser to verify:
# Desktop (1280px)
agent-browser open http://localhost:3000
agent-browser screenshot desktop.png
# Tablet (768px)
agent-browser eval "window.resizeTo(768, 1024)"
agent-browser screenshot tablet.png
Always verify:
agent-browser eval "JSON.stringify(window.__errors || [])"Verify when relevant to the change:
Only after all checks pass:
vercel deploy --yes --prod --token placeholder --cwd /path/to/project
After first deploy or major changes, verify the LIVE URL:
agent-browser open <deployed-url>
agent-browser screenshot production.png
If anything looks broken compared to local, fix it and redeploy.
If something doesn't look right:
Keep iterating until it looks professional. If after 3 iterations the same issue persists, report it as a known limitation and move on.
console.log in production codedebounce)When reporting results, always include:
Azure Resource Manager SDK for Microsoft Playwright Testing in .NET.
Run agent-browser on AWS Bedrock AgentCore cloud browsers. Use when the user wants to use AgentCore, run browser automation on AWS, use a cloud browser with AWS credentials, or needs a managed browser session backed by AWS infrastructure. Triggers include "use agentcore", "run on AWS", "cloud browser with AWS", "bedrock browser", "agentcore session", or any task requiring AWS-hosted browser automation.
Production-ready CI/CD configurations for Playwright — GitHub Actions, GitLab CI, CircleCI, Azure DevOps, Jenkins, Docker, parallel sharding, reporting, code coverage, and global setup/teardown.
Deploy serverless browser automation as cloud functions using Browserbase. Use when the user wants to deploy browser automation to run on a schedule or cron, create a webhook endpoint for browser tasks, run automation in the cloud instead of locally, or asks about Browserbase Functions.
Run Playwright tests at scale using Azure Playwright Workspaces (formerly Microsoft Playwright Testing). Use when scaling browser tests across cloud-hosted browsers, integrating with CI/CD pipelines, or publishing test results to the Azure portal.
Expert knowledge for Playwright Workspaces development including troubleshooting, best practices, decision making, limits & quotas, security, and configuration. Use when managing Playwright Testing workspaces, tokens/RBAC, quotas, monitoring/metrics, or run/AADSTS7000112 issues, and other Playwright Workspaces related development tasks. Not for Azure App Testing (use azure-app-testing), Azure DevOps (use azure-devops), Azure Pipelines (use azure-pipelines), Azure Test Plans (use azure-test-plans).
| Uses Lovable MCP (preferred) or browser automation to submit deployment prompts. Runs verification tests based on configuration. Auto-deploys after git push when enabled.
Production-ready CI/CD configurations for Playwright — GitHub Actions, GitLab CI, CircleCI, Azure DevOps, Jenkins, Docker, parallel sharding, reporting, code coverage, and global setup/teardown.
Take nanocoai/frontend-engineer from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
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.