Expert guidance for building and maintaining Next.js applications with the App Router, the routing system based on folders and files. It covers routing, server components, data fetching, caching, middleware, and deployment.

Use it to design, build, debug, or review Next.js applications, including routes, layouts, server actions, navigation, rendering, and deployment.

It helps avoid framework-specific mistakes such as invalid server and client component boundaries, incorrect asynchronous APIs, or unsuitable runtime choices.

nextjs — Skill for Claude Code by build-with-dhiraj

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add build-with-dhiraj/ai-workflow-framework-portability-kit --skill nextjs

Clone the repo

git clone --depth 1 https://github.com/build-with-dhiraj/ai-workflow-framework-portability-kit

Made for: Claude Code.

Or install vercel-plugin, the plugin that ships this one along with the rest of its 47 skills, 6 commands, 3 agents, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/nextjs/github.svg)](https://agentmods.dev/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/nextjs)

Your own site

<a href="https://agentmods.dev/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/nextjs"><img src="https://agentmods.dev/badge/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/nextjs/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/nextjs"><img src="https://agentmods.dev/badge/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/nextjs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 4,647 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00053	$0.04647
Opus 5.5	$0.00021	$0.01859
Sonnet 5.5	$0.00011	$0.00929
Haiku 4.5	$0.00005	$0.00465

Measured 1mo ago against content hash a84d03ab8e78, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

nextjs scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Plugins/vercel-marketplace-source/skills/nextjs/SKILL.md · 435 lines

How it starts

The opening of the file, as written. The whole thing — 435 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Next.js Best Practices

Apply these rules when writing or reviewing Next.js code.

File Conventions

See file-conventions.md for:

Project structure and special files
Route segments (dynamic, catch-all, groups)
Parallel and intercepting routes
Middleware rename in v16 (middleware → proxy)

RSC Boundaries

Detect invalid React Server Component patterns.

See rsc-boundaries.md for:

Async client component detection (invalid)
Non-serializable props detection
Server Action exceptions

Async Patterns

Next.js 15+ async API changes.

See async-patterns.md for:

Async params and searchParams
Async cookies() and headers()
Migration codemod

Runtime Selection

See runtime-selection.md for:

Default to Node.js runtime
When Edge runtime is appropriate

Directives

See directives.md for:

'use client', 'use server' (React)
'use cache' (Next.js)

Functions

See functions.md for:

Navigation hooks: useRouter, usePathname, useSearchParams, useParams
Server functions: cookies, headers, draftMode, after
Generate functions: generateStaticParams, generateMetadata

Error Handling

See error-handling.md for:

error.tsx, global-error.tsx, not-found.tsx
redirect, permanentRedirect, notFound
forbidden, unauthorized (auth errors)
unstable_rethrow for catch blocks

Data Patterns

See data-patterns.md for:

Server Components vs Server Actions vs Route Handlers
Avoiding data waterfalls (Promise.all, Suspense, preload)
Client component data fetching

Route Handlers

See route-handlers.md for:

route.ts basics
GET handler conflicts with page.tsx
Environment behavior (no React DOM)
When to use vs Server Actions

Metadata & OG Images

See metadata.md for:

Static and dynamic metadata
generateMetadata function
OG image generation with next/og
File-based metadata conventions

Read the full file on GitHub · 435 lines

Files

What ships with it

42 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

1mo ago First seen · 435 lines · 53 tokens per session scan A a84d03ab8e78

Subscribe to this mod's changes

nextjs is a skill published in the GitHub repository build-with-dhiraj/ai-workflow-framework-portability-kit (5 stars, last pushed 20d ago), licensed MIT. It adds 53 tokens to every session and 4,647 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-21.

Backend and APIs Claude Code Frontend ai-agents anthropic developer-experience llm-tools portability

design-patterns

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huggingface-community-evals

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build-app

Use when writing code that calls UnblockingAPI, or code that must fetch or scrape web pages from an app, script, backend, scheduled job or integration and UnblockingAPI is the chosen fetcher. Covers the REST API (POST /unblock), keeping the key server-side, timeouts and background jobs, concurrency, retries, credits…

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templates

Use when code needs structured data (JSON fields) from a website through UnblockingAPI, for example search results, listings, products, prices or company records, or when the user asks about UnblockingAPI templates. Covers finding a published template for a URL, its output shape, calling it from an app, pinning…

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huggingface-papers

Look up and read Hugging Face paper pages in markdown, and use the papers API for structured metadata such as authors, linked models/datasets/spaces, Github repo and project page. Use when the user shares a Hugging Face paper page URL, an arXiv URL or ID, or asks to summarize, explain, or analyze an AI research paper.

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