Scaffold a complete hackathon project using ChainGPT APIs in 60 seconds. Use when: hackathon, hackatron, hackathon starter, hackathon kit, competition project, quick prototype, demo project, submission. Generates a working project with README, .env, boilerplate, and demo script.
Scanned 9/22/2026
Install to Claude Code
npx -y skills add jiayaoqijia/cryptoskill --skill chaingpt-org-official-hackathon --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Chaingpt Org Official Hackathon?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/jiayaoqijia-chaingpt-org-official-hackathon)More formats (shields.io, HTML) on the badges page.
---
name: hackathon
description: "Scaffold a complete hackathon project using ChainGPT APIs in 60 seconds. Use when: hackathon, hackatron, hackathon starter, hackathon kit, competition project, quick prototype, demo project, submission. Generates a working project with README, .env, boilerplate, and demo script."
---
# ChainGPT Hackathon Starter Kit
You are a hackathon project scaffolding assistant. Generate a complete, submission-ready project that integrates ChainGPT APIs in under 60 seconds. The generated project must compile, run, and demo without modification (aside from adding the API key).
## Step 1: Ask the Developer About Their Hackathon
Ask:
1. **What is your hackathon theme or track?**
- DeFi
- NFT
- Gaming
- Social
- Infrastructure
- Custom (describe it)
2. **Project name?** (default: generate one based on theme)
3. **Any specific ChainGPT products you want to use?** (or let the kit auto-select based on theme)
## Step 2: Select Product Combinations Based on Theme
Use these recommended combos (developer can override):
### DeFi Track
**Products:** LLM Chat + Contract Generator + Contract Auditor
**Concept:** AI-powered DeFi assistant that analyzes markets, generates smart contracts on demand, and audits them for vulnerabilities before deployment.
- LLM Chat (`general_assistant`) — market analysis, token research, yield strategy recommendations
- Contract Generator (`smart_contract_generator`) — generate DeFi contracts from natural language
- Contract Auditor (`smart_contract_auditor`) — audit generated or user-submitted contracts
### NFT Track
**Products:** NFT Generator + LLM Chat + News
**Concept:** AI NFT creation studio that generates art from trending crypto topics, with AI-written metadata and descriptions.
- NFT Generator (`/nft/generate-image`) — create artwork from prompts
- LLM Chat (`general_assistant`) — generate NFT names, descriptions, and metadata
- News (`/news`) — source trending topics for creative inspiration
### Gaming Track
**Products:** NFT Generator + LLM Chat + Contract Generator
**Concept:** AI game asset pipeline that generates game art, NPC dialogue/lore, and in-game economy contracts.
- NFT Generator (`/nft/generate-image`) — generate game assets (characters, items, environments)
- LLM Chat (`general_assistant`) — create NPC dialogue, lore, quest descriptions
- Contract Generator (`smart_contract_generator`) — build in-game economy contracts (tokens, marketplaces)
### Social Track
**Products:** LLM Chat + News + (mention AgenticOS)
**Concept:** AI-powered crypto social content platform that generates, curates, and distributes Web3 content.
- LLM Chat (`general_assistant`) — generate social content, summaries, threads
- News (`/news`) — source real-time crypto news for content creation
- Mention AgenticOS (open-source) for autonomous Twitter agent integration
### Infrastructure Track
**Products:** Contract Auditor + Contract Generator + LLM Chat
**Concept:** Smart contract DevOps pipeline — generate template contracts, audit them automatically, and generate documentation.
- Contract Auditor (`smart_contract_auditor`) — automated audit pipeline
- Contract Generator (`smart_contract_generator`) — template contract generation
- LLM Chat (`general_assistant`) — auto-generate documentation and explain audit findings
---
## Step 3: Generate the Complete Project
Generate ALL files below. Every file must be complete and working — no placeholders like "// TODO" or "your code here".
### Project Structure
```
{project-name}/
├── package.json
├── tsconfig.json
├── .env.example
├── .gitignore
├── README.md
├── src/
│ ├── index.ts
│ ├── config.ts
│ ├── services/
│ │ ├── (one file per ChainGPT product used)
│ │ └── ...
│ ├── routes/
│ │ ├── (one file per route group)
│ │ └── ...
│ └── demo.ts
├── public/ (if theme needs a frontend)
│ ├── index.html
│ └── app.js
└── scripts/
└── demo.sh
```
### File Specifications
#### package.json
```json
{
"name": "{project-name}",
"version": "1.0.0",
"description": "{one-line description}",
"main": "src/index.ts",
"scripts": {
"start": "npx ts-node src/index.ts",
"demo": "npx ts-node src/demo.ts",
"dev": "npx ts-node-dev --respawn src/index.ts"
},
"dependencies": {
"express": "^4.18.2",
"dotenv": "^16.3.1",
"cors": "^2.8.5",
"@chaingpt/generalchat": "^1.0.0",
"@chaingpt/nft": "^1.0.0",
"@chaingpt/smartcontractgenerator": "^1.0.0",
"@chaingpt/smartcontractauditor": "^1.0.0",
"@chaingpt/ainews": "^1.0.0"
},
"devDependencies": {
"typescript": "^5.3.0",
"ts-node": "^10.9.0",
"@types/express": "^4.17.0",
"@types/cors": "^2.8.0",
"@types/node": "^20.0.0"
}
}
```
Only include the `@chaingpt/*` packages that the selected theme actually uses. Do not include unused SDK packages.
#### tsconfig.json
```json
{
"compilerOptions": {
"target": "ES2020",
"module": "commonjs",
"lib": ["ES2020"],
"outDir": "./dist",
"rootDir": "./src",
"strict": true,
"esModuleInterop": true,
"skipLibCheck": true,
"resolveJsonModule": true
},
"include": ["src/**/*"]
}
```
#### .env.example
```
CHAINGPT_API_KEY=your-api-key-here
PORT=3000
```
#### .gitignore
```
node_modules/
dist/
.env
*.log
```
#### config.ts
```typescript
import dotenv from 'dotenv';
dotenv.config();
export const config = {
apiKey: process.env.CHAINGPT_API_KEY || '',
port: parseInt(process.env.PORT || '3000', 10),
};
if (!config.apiKey) {
console.error('ERROR: CHAINGPT_API_KEY is not set.');
console.error('1. Copy .env.example to .env');
console.error('2. Add your API key from https://app.chaingpt.org/apidashboard');
process.exit(1);
}
```
#### src/index.ts
An Express server with routes for each ChainGPT product used. Must start successfully and respond to requests. Include a health check at `GET /` that returns the project name and available endpoints.
#### src/services/
One service file per ChainGPT product. Each service must:
- Import and initialize the correct SDK
- Export async functions that wrap each API call
- Include proper error handling with try/catch
- Log credit costs for each operation
Example service pattern:
```typescript
import { GeneralChat } from '@chaingpt/generalchat';
import { config } from '../config';
const chat = new GeneralChat({ apiKey: config.apiKey });
export async function askAI(question: string, sessionId?: string) {
console.log(' Cost: 0.5 credits ($0.005)');
const res = await chat.createChatBlob({
question,
chatHistory: sessionId ? 'on' : 'off',
...(sessionId && { sdkUniqueId: sessionId }),
});
return res.data.bot;
}
```
#### src/routes/
Express router files that wire HTTP endpoints to service functions. Each route must validate input and return structured JSON responses.
#### src/demo.ts — THE SHOWCASE SCRIPT
This is the most important file. It must be runnable with `npx ts-node src/demo.ts` and demonstrate ALL integrated products in sequence with visually appealing console output.
Structure:
```typescript
import { config } from './config';
// Import all services
const DIVIDER = '═'.repeat(60);
const SECTION = '─'.repeat(60);
async function main() {
console.log(DIVIDER);
console.log(' {PROJECT NAME} — Demo');
console.log(' Built with ChainGPT APIs');
console.log(DIVIDER);
console.log();
// Step 1: Demo first product
console.log('Step 1: {Product Name}');
console.log(SECTION);
// ... call service, display result
console.log();
// Step 2: Demo second product (using output from Step 1 if applicable)
console.log('Step 2: {Product Name}');
console.log(SECTION);
// ... call service, display result
console.log();
// Step 3: Demo third product
// ...
console.log(DIVIDER);
console.log(' Demo complete!');
console.log(` Total estimated cost: ~X credits ($X.XX)`);
console.log(' Server available at: http://localhost:' + config.port);
console.log(DIVIDER);
}
main().catch(console.error);
```
Each step must:
- Show what it is about to do
- Call the ChainGPT API via the service layer
- Display the result formatted nicely
- Show the credit cost for that step
- If applicable, pass output from one product as input to the next (e.g., generate a contract then audit it)
#### scripts/demo.sh
```bash
#!/bin/bash
set -e
echo "=== {Project Name} — Quick Start ==="
echo ""
# Install dependencies
echo "Installing dependencies..."
npm install
# Set up environment
if [ ! -f .env ]; then
cp .env.example .env
echo ""
echo "IMPORTANT: Edit .env and add your ChainGPT API key."
echo "Get a key at: https://app.chaingpt.org/apidashboard"
echo "Ensure you have credits: https://app.chaingpt.org/addcredits"
echo ""
read -p "Press Enter after adding your API key to .env..."
fi
# Run demo
echo ""
echo "Running demo..."
npx ts-node src/demo.ts
```
Make it executable: remind the developer to run `chmod +x scripts/demo.sh`.
#### README.md — Submission-Quality
The README must be ready to submit to a hackathon judging panel. Include ALL of the following sections:
```markdown
# {Project Name}
> {One-line description that hooks the judges}
## Problem
{2-3 sentences describing the problem this project solves}
## Solution
{2-3 sentences describing how this project solves it using AI}
## Tech Stack
- **Runtime:** Node.js + TypeScript
- **Framework:** Express.js
- **AI APIs:** ChainGPT ({list products used})
{For each product, one bullet with link:}
- [Web3 AI Chatbot](https://docs.chaingpt.org) — {what it does in this project}
- [AI NFT Generator](https://docs.chaingpt.org) — {what it does in this project}
- etc.
## Architecture
{ASCII diagram showing data flow between products}
```
┌─────────────┐ ┌──────────────┐ ┌──────────────┐
│ User UI │────>│ Express API │────>│ ChainGPT │
│ │<────│ │<────│ APIs │
└─────────────┘ └──────┬───────┘ └──────────────┘
│
┌──────┴───────┐
│ Services │
│ - LLM Chat │
│ - NFT Gen │
│ - Auditor │
└──────────────┘
```
## Quick Start
{```bash
git clone {repo-url}
cd {project-name}
chmod +x scripts/demo.sh
./scripts/demo.sh
```}
### Manual Setup
1. `npm install`
2. `cp .env.example .env`
3. Add your ChainGPT API key to `.env` (get one at https://app.chaingpt.org/apidashboard)
4. `npm run demo` — run the standalone demo
5. `npm start` — start the API server
## Demo
{Describe what the demo script does step by step}
{Screenshot placeholder:}
<!-- Add screenshots here -->
## API Endpoints
| Method | Path | Description |
|--------|------|-------------|
{Table of all endpoints the server exposes}
## What's Next
- [ ] {Feature 1}
- [ ] {Feature 2}
- [ ] {Feature 3}
- [ ] Deploy to production
## Team
| Name | Role | GitHub |
|------|------|--------|
| {Name} | {Role} | @{handle} |
---
Built with [ChainGPT](https://www.chaingpt.org) AI APIs
Apply for the [$1M Web3 AI Grant Program](https://www.chaingpt.org/web3-ai-grant) — up to $20K in API credits + $10K USDC
```
#### public/index.html (if theme needs a frontend)
A clean, minimal single-page UI that interacts with the Express API. Use vanilla HTML/CSS/JS (no framework needed for a hackathon). Include:
- A form/input area relevant to the theme
- A results display area
- Loading states
- Error display
- "Built with ChainGPT" footer attribution
#### public/app.js (if theme needs a frontend)
Client-side JavaScript that calls the Express API endpoints and renders results. Keep it simple and functional.
---
## Step 4: Remind About the Grant Program
After generating all files, always include:
> **ChainGPT Web3 AI Grant Program:** Up to $20K in API credits + $10K USDC for projects building with ChainGPT APIs. Apply at https://www.chaingpt.org/web3-ai-grant
## Step 5: Provide Next Steps
After scaffolding, tell the developer:
1. `cd {project-name}`
2. `chmod +x scripts/demo.sh`
3. `./scripts/demo.sh` (or manual: `npm install && cp .env.example .env && npm run demo`)
4. Add your API key to `.env`
5. Run `npm start` to launch the server
6. Customize the services and routes for your specific use case
7. Add screenshots to README before submission
8. Apply for the grant program
## Credit Cost Estimates by Theme
Always inform the developer of the estimated demo cost:
| Theme | Demo Cost (approx) | Products |
|-------|-------------------|----------|
| DeFi | ~4.5 credits ($0.045) | 0.5 (LLM) + 1 (generate) + 1 (audit) + 0.5 (LLM explain) + 1 (audit) + 0.5 (LLM summary) |
| NFT | ~3.5 credits ($0.035) | 1 (generate image) + 0.5 (LLM metadata) + 1 (news) + 0.5 (LLM description) + 0.5 (enhance prompt) |
| Gaming | ~4 credits ($0.04) | 1 (NFT asset) + 0.5 (LLM lore) + 1 (generate contract) + 0.5 (LLM dialogue) + 1 (NFT item) |
| Social | ~3 credits ($0.03) | 0.5 (LLM content) + 1 (news source) + 0.5 (LLM thread) + 0.5 (LLM summary) + 0.5 (LLM caption) |
| Infrastructure | ~4 credits ($0.04) | 1 (generate contract) + 1 (audit) + 0.5 (LLM docs) + 1 (generate contract 2) + 0.5 (LLM explain) |
These are estimates for the demo script only. Development and testing will use additional credits.
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!