Near Dapp

OrganizationPopular

internet-court

near-dapp

Build NEAR Protocol dApps. Use for: (1) creating new NEAR dApps with `create-near-app` (Vite+React, Next.js), (2) adding NEAR wallet connection to existing apps with `@hot-labs/near-connect` and `near-connect-hooks`, (3) building frontend UI for NEAR smart contracts, (4) integrating wallet sign-in/sign-out, contract calls, and transaction signing into web applications.

Overview

Publisher	internet-court
Repository	`internet-court-skill`
Skill name	`near-dapp`
Stars	5.8K
Forks	106
Bundled files	3
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
3 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by internet-court on GitHub. Read the source before you install it.

Installation

Install the Near Dapp AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/internet-court/internet-court-skill/tree/main/vendored/near/near-dapp

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/internet-court/internet-court-skill.git /tmp/internet-court-skill
mkdir -p .claude/skills
cp -r /tmp/internet-court-skill/vendored/near/near-dapp .claude/skills/near-dapp

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Near Dapp in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Near Dapp on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Near Dapp is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

NEAR dApp

Decision Router

Determine which path to follow:

Path A: New Project

User wants to create a new NEAR dApp from scratch.

Read references/create-near-app.md
Run scaffolding:

bash
npx create-near-app@latest

Or with arguments:

bash
npx create-near-app my-app --frontend vite-react --contract rs --install

Framework options: vite-react | next-app | next-page Contract options: rs (Rust) | ts (TypeScript)

If user needs wallet connection in the scaffolded app, also follow Path B.

Path B: Existing Project

User wants to add NEAR wallet connection to an existing React app.

Read references/near-connect-hooks.md — React hooks API and patterns
If user needs low-level wallet API or non-React integration, also read references/near-connect.md

Quick setup:

bash
npm install near-connect-hooks @hot-labs/near-connect near-api-js

tsx
// 1. Wrap app root with NearProvider
import { NearProvider } from 'near-connect-hooks';

<NearProvider config={{ network: 'mainnet' }}>
  <App />
</NearProvider>

// 2. Use hook in components
import { useNearWallet } from 'near-connect-hooks';

const { signedAccountId, signIn, signOut, viewFunction, callFunction } = useNearWallet();

Path C: Non-React or Vanilla JS

Use @hot-labs/near-connect directly without React hooks.

Read references/near-connect.md

bash
npm install @hot-labs/near-connect

typescript
import { NearConnector } from "@hot-labs/near-connect";

const connector = new NearConnector({ network: "mainnet" });
connector.on("wallet:signIn", async (t) => {
  const wallet = await connector.wallet();
  const address = t.accounts[0].accountId;
});
await connector.connect();

Key Patterns

Read contract state (no wallet): viewFunction({ contractId, method, args })
Write to contract (wallet required): callFunction({ contractId, method, args, deposit })
Transfer NEAR: transfer({ receiverId, amount })
NEAR ↔ yoctoNEAR: Use nearToYocto() / yoctoToNear() from near-api-js
1 NEAR = "1000000000000000000000000" yoctoNEAR
Default gas: "30000000000000" (30 TGas)

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Near Dapp AI skill do?

Why use Near Dapp on TypingMind?

Because you install it once and use it with any model. Near Dapp is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Near Dapp in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/internet-court/internet-court-skill/tree/main/vendored/near/near-dapp. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Near Dapp?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Near Dapp?

As many as you like. As long as a model supports skills, you can use Near Dapp with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Near Dapp AI skill free?

It is published on GitHub by internet-court. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Systematic Debugging

obra

CommunityPopular

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes

Test Driven Development

obra

CommunityPopular

Use when implementing any feature or bugfix, before writing implementation code

Using Git Worktrees

Use when starting feature work that needs isolation from current workspace or before executing implementation plans - ensures an isolated workspace exists via native tools or git worktree fallback

Using Superpowers

Use when starting any conversation - establishes how to find and use skills, requiring skill invocation before ANY response including clarifying questions

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

NEAR dApp

Decision Router

Path A: New Project

Path B: Existing Project

Path C: Non-React or Vanilla JS

Key Patterns

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now