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Nextjs Code Implementer

Checked
masanao-ohba·vlatest·frontend

Generates, debugs, and optimizes Next.js code snippets based on provided requirements and best practices.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add masanao-ohba/claude-manifests --skill nextjs-code-implementer -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

masanao-ohba

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned masanao-ohba/claude-manifests at 3e765ad5ee.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
3e765ad5ee
Manifest
skills/typescript-nextjs/code-implementer/SKILL.md
Scanned
1 file, 520 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill allows AI agents to implement Next.js code based on provided instructions or designs. It can generate components, pages, and API routes within a Next.js project. The agent understands design specifications and translates them into functional Next.js applications.

When to use it

  • You need to quickly prototype a Next.js application from a design mockup.
  • You want an AI to automate the creation of new components or pages in an existing Next.js project.
  • You're building an API endpoint and require assistance generating the corresponding Next.js API route.
  • You have a set of requirements for a Next.js application, and need help translating those into code.

Key capabilities

  • Next.js component generation
  • Next.js page creation
  • API route implementation
  • Design specification interpretation

Example prompts

  • "Create a Next.js component that displays a list of products fetched from an API."
  • "Implement a new /about page with the content 'About Us'."
  • "Generate a Next.js API route at /api/data that returns JSON data."

Tips & gotchas

The agent's output is dependent on the clarity and completeness of your instructions. Providing detailed design specifications or clear requirements will yield better results.