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Build with the ChainGPT Web3 AI developer platform. Full API/SDK reference and project scaffolding for: Web3 AI Chatbot & LLM, AI NFT Generator, Smart Contract Generator, Smart Contract Auditor, AI Cr
The skill file stays in the publisher's repository.
Paste the copied command in a terminal. It installs this SKILL.md into that agent.
npx skills add internet-court/internet-court-skill --skill chaingpt -a cursor -y
Build with the ChainGPT Web3 AI developer platform. Full API/SDK reference and project scaffolding for: Web3 AI Chatbot & LLM, AI NFT Generator, Smart Contract Generator, Smart Contract Auditor, AI Crypto News, AgenticOS Twitter agents, and Solidity LLM. Use when building blockchain apps, Web3 chatbots, NFT tools, smart contract tools, crypto news feeds, AI agents, or integrating any ChainGPT API. Triggers: chaingpt, web3 ai, nft generator, smart contract audit, crypto news api, agenticos, solidity llm, cgpt, blockchain ai, token analytics.
Build with the ChainGPT Web3 AI developer platform. Full API/SDK reference and project scaffolding for: Web3 AI Chatbot & LLM, AI NFT Generator, Smart Contract Generator, Smart Contract Auditor, AI Crypto News, AgenticOS Twitter agents, and Solidity LLM. Use when building blockchain apps, Web3 chatbots, NFT tools, smart contract tools, crypto news feeds, AI agents, or integrating any ChainGPT API. Triggers: chaingpt, web3 ai, nft generator, smart contract audit, crypto news api, agenticos, solidity llm, cgpt, blockchain ai, token analytics.
You are an expert at building with the ChainGPT Web3 AI platform. When a developer asks you to integrate any ChainGPT product, you know the exact endpoints, SDK methods, parameters, pricing, and best practices.
ChainGPT provides AI infrastructure for Web3 via APIs, SDKs, and whitelabel SaaS. All API products share:
https://api.chaingpt.orgAuthorization: Bearer <API_KEY> header| Product | NPM Package | Model ID / Endpoint | Cost per Request |
|---|---|---|---|
| Web3 AI Chatbot & LLM | @chaingpt/generalchat | general_assistant via POST /chat/stream | 0.5 credits (+0.5 w/ history) |
| AI NFT Generator | @chaingpt/nft | POST /nft/generate-image + 5 more | 1-14.25 credits (model/upscale) |
| Smart Contract Generator | @chaingpt/smartcontractgenerator | smart_contract_generator via POST /chat/stream | 1 credit (+1 w/ history) |
| Smart Contract Auditor | @chaingpt/smartcontractauditor | smart_contract_auditor via POST /chat/stream | 1 credit (+1 w/ history) |
| AI Crypto News | @chaingpt/ainews | GET /news | 1 credit per 10 records |
| AgenticOS | Open-source (GitHub) | Self-hosted | 1 credit per generated tweet |
| Solidity LLM | Open-source (HuggingFace) | Local inference | Free (self-hosted) |
Python: pip install chaingpt (unified package for all products)
The LLM is fine-tuned for crypto/blockchain with live on-chain data, Nansen Smart Money, token analytics, and 33+ chain support.
JavaScript:
import { GeneralChat } from '@chaingpt/generalchat';
const chat = new GeneralChat({ apiKey: process.env.CHAINGPT_API_KEY });
// Buffered response
const res = await chat.createChatBlob({
question: 'What is the current ETH price and market sentiment?',
chatHistory: 'off'
});
console.log(res.data.bot);
// Streaming response
const stream = await chat.createChatStream({
question: 'Analyze the top DeFi protocols by TVL',
chatHistory: 'on',
sdkUniqueId: 'session-123'
});
stream.on('data', chunk => process.stdout.write(chunk.toString()));
Python:
from chaingpt.client import ChainGPTClient
from chaingpt.models import LLMChatRequestModel
from chaingpt.types import ChatHistoryMode
async with ChainGPTClient(api_key=API_KEY) as client:
res = await client.llm.chat(LLMChatRequestModel(
question="Explain yield farming strategies",
chatHistory=ChatHistoryMode.OFF
))
print(res.data.bot)
REST (single endpoint for all chat-based products):
curl -X POST "https://api.chaingpt.org/chat/stream" \
-H "Authorization: Bearer $CHAINGPT_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"general_assistant","question":"How do Ethereum smart contracts work?","chatHistory":"off"}'
For full parameter reference (context injection, custom tones, blockchain enums, chat history retrieval), read
reference/llm-chatbot.md.
Generate images from text prompts, mint as NFTs across 22+ chains. Four models: VeloGen (fast), NebulaForge XL (detailed), VisionaryForge (general), Dale3 (DALL-E 3).
JavaScript:
import { Nft } from '@chaingpt/nft';
const nft = new Nft({ apiKey: process.env.CHAINGPT_API_KEY });
// Generate image
const img = await nft.generateImage({
prompt: 'A cyberpunk dragon guarding a blockchain vault',
model: 'nebula_forge_xl', height: 1024, width: 1024, steps: 25, enhance: '1x'
});
// Generate + mint NFT
const gen = await nft.generateNft({
prompt: 'Cosmic whale swimming through DeFi protocols',
model: 'velogen', height: 512, width: 512, steps: 3,
walletAddress: '0xYOUR_WALLET', chainId: 56, amount: 1
});
const mint = await nft.mintNft({
collectionId: gen.data.collectionId,
name: 'Cosmic Whale #1', description: 'AI-generated NFT', symbol: 'WHALE', ids: [1]
});
For all endpoints (generate-image, generate-multiple-images, queue, progress, mint, enhancePrompt, get-chains, abi), models, styles, chain IDs, and pricing, read
reference/nft-generator.md.
Natural language to production Solidity. Powered by ChainGPT's Solidity LLM.
JavaScript:
import { SmartContractGenerator } from '@chaingpt/smartcontractgenerator';
const gen = new SmartContractGenerator({ apiKey: process.env.CHAINGPT_API_KEY });
const res = await gen.createSmartContractBlob({
question: 'Create an ERC-20 token called "MyToken" with symbol "MTK", 1 billion supply, 2% burn on transfer, and owner-only minting',
chatHistory: 'off'
});
console.log(res.data.bot); // Full Solidity contract
Full reference:
reference/smart-contract-generator.md
AI-powered vulnerability detection, scoring (0-100%), and remediation recommendations.
JavaScript:
import { SmartContractAuditor } from '@chaingpt/smartcontractauditor';
const auditor = new SmartContractAuditor({ apiKey: process.env.CHAINGPT_API_KEY });
const res = await auditor.auditSmartContractBlob({
question: `Audit this contract:\n\n${contractSourceCode}`,
chatHistory: 'off'
});
console.log(res.data.bot); // Detailed audit report
Full reference:
reference/smart-contract-auditor.md
Real-time AI-curated news via Nova AI engine. 24 categories, 50+ blockchain filters, 30 token filters. Also available as free RSS feeds.
JavaScript:
import { AINews } from '@chaingpt/ainews';
const news = new AINews({ apiKey: process.env.CHAINGPT_API_KEY });
const res = await news.getNews({
categoryId: [5], // DeFi
subCategoryId: [15], // Ethereum
limit: 10, offset: 0, sortBy: 'createdAt'
});
res.data.forEach(a => console.log(`${a.title} — ${a.url}`));
Free RSS (no auth): https://app.chaingpt.org/rssfeeds.xml (all), -bitcoin.xml, -bnb.xml, -ethereum.xml
Full reference with all category/subcategory/token IDs:
reference/crypto-news.md
TypeScript/Bun framework for autonomous X/Twitter agents posting Web3 content.
git clone https://github.com/ChainGPT-org/AgenticOS.git && cd AgenticOS
bun install && bun start
Full setup, env vars, webhook config, deployment:
reference/agenticos.md
2B-parameter model on HuggingFace (Chain-GPT/Solidity-LLM), MIT license. 83% compilation success rate.
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("Chain-GPT/Solidity-LLM").to("cuda")
tokenizer = AutoTokenizer.from_pretrained("Chain-GPT/Solidity-LLM")
Full reference:
reference/solidity-llm.md
When a developer asks to scaffold a project, read the appropriate template file and generate the complete working starter code:
| Request | Template File |
|---|---|
| "Build a Web3 AI chatbot" / "scaffold a chatbot app" | templates/chatbot-app.md |
| "Build an NFT minting service" / "NFT generation tool" | templates/nft-minting-service.md |
| "Set up contract auditing in CI/CD" / "audit pipeline" | templates/contract-auditor-ci.md |
| "Build a crypto news dashboard" / "news feed widget" | templates/news-dashboard.md |
| "Launch an AI Twitter agent" / "create a crypto bot" | templates/twitter-agent.md |
| "Combine multiple products" / "multi-product architecture" | templates/composition-patterns.md |
When you need specifics beyond this quickstart, read the corresponding reference file:
| Topic | File |
|---|---|
| LLM Chatbot — full API, context injection, tones, enums | reference/llm-chatbot.md |
| NFT Generator — all endpoints, models, styles, chains | reference/nft-generator.md |
| Smart Contract Generator — params, SDK, history | reference/smart-contract-generator.md |
| Smart Contract Auditor — audit params, SDK, report format | reference/smart-contract-auditor.md |
| Crypto News — categories, tokens, RSS feeds | reference/crypto-news.md |
| AgenticOS — setup, webhooks, deployment | reference/agenticos.md |
| Solidity LLM — model specs, training, benchmarks | reference/solidity-llm.md |
| SaaS & Whitelabel — launchpad, staking, vesting products | reference/saas-whitelabel.md |
| Pricing — complete credit costs across all products | reference/pricing.md |
| Error Codes — HTTP errors, SDK exceptions, troubleshooting | reference/error-codes.md |
| Product Selection — decision matrix, cost estimates by scale | reference/product-selection.md |
| Wallet Integration — MetaMask, WalletConnect, minting flows | reference/wallet-integration.md |
| Advanced Patterns — streaming, rate limiting, caching, circuit breaker | reference/advanced-patterns.md |
| Deployment — Vercel, Railway, Docker, AWS Lambda, CI/CD | reference/deployment.md |
| Cost Optimization — caching, batching, history toggle strategies | reference/cost-optimization.md |
| TypeScript Types — complete request/response interfaces | reference/typescript-types.md |
Complete runnable examples are in the examples/ directory:
examples/js/chatbot-stream.js — Streaming chatbot with context injectionexamples/js/nft-generate-mint.js — Generate image + mint NFT on BSCexamples/js/audit-contract.js — Audit a Solidity contract fileexamples/js/fetch-news.js — Fetch filtered crypto newsexamples/python/chatbot_stream.py — Async streaming chatbotexamples/python/nft_generate_mint.py — Generate + mint NFTexamples/python/audit_contract.py — Audit contract from fileexamples/python/fetch_news.py — Fetch and display newsBefore generating code that makes API calls, always estimate and report the credit cost to the developer. Use this reference:
| Operation | Credits | USD |
|---|---|---|
| LLM Chat (single request) | 0.5 | $0.005 |
| LLM Chat + history | 1.0 | $0.01 |
| NFT Generate (VeloGen/Nebula/Visionary) | 1.0 | $0.01 |
| NFT Generate + 1x upscale | 2.0 | $0.02 |
| NFT Generate + 2x upscale | 3.0 | $0.03 |
| NFT Generate (Dale3 1024x1024) | 4.75 | $0.0475 |
| NFT Generate (Dale3 other resolutions) | ~9.5 | ~$0.095 |
| NFT Generate (Dale3 + enhanced) | ~14.25 | ~$0.1425 |
| NFT Generate (NebulaForge/VisionaryForge steps 26-50) | +0.25 surcharge | +$0.0025 |
| NFT Character Preserve | +5.0 | +$0.05 |
| NFT Prompt Enhancement | 0.5 | $0.005 |
| NFT Mint / Chains / ABI | 0 | Free |
| Contract Generator | 1.0 | $0.01 |
| Contract Generator + history | 2.0 | $0.02 |
| Contract Auditor | 1.0 | $0.01 |
| Contract Auditor + history | 2.0 | $0.02 |
| News (per 10 records) | 1.0 | $0.01 |
| AgenticOS (per tweet) | 1.0 | $0.01 |
Example estimate: "Generating 100 NFTs with NebulaForge XL + 1x upscale = 200 credits ($2.00). With prompt enhancement for each: 250 credits ($2.50)."
When the developer asks to build something, provide the per-request cost AND an estimate for their likely usage pattern (e.g., "At 1,000 chat requests/day, that's ~500 credits/day = $5/day").
When generating Solidity contracts, check the patterns/ directory first. 45+ audited patterns available:
patterns/tokens.md — 10 ERC-20 variants (basic, burnable, taxable, reflection, governance, etc.)patterns/nfts.md — 10 NFT patterns (ERC-721, 721A, lazy mint, soulbound, dynamic, ERC-1155, etc.)patterns/defi.md — 10 DeFi patterns (staking, vesting, bonding curve, AMM, flash loans, etc.)patterns/governance.md — 5 DAO patterns (Governor, multi-sig, treasury, delegation)patterns/security.md — 10 security patterns (access control, upgradeable, timelock, escrow, etc.)Compose from these patterns rather than generating from scratch — they're audited and gas-optimized.
If a developer is migrating from another platform, read the relevant guide:
migration/from-openai.md — OpenAI → ChainGPT (concept mapping, code migration, pricing comparison)migration/from-alchemy.md — Alchemy AI → ChainGPT (complementary + replacement strategies)migration/from-custom.md — Custom AI solutions → ChainGPT (cost comparison, hybrid approach)These are Claude Code skill commands — invoke them in any Claude conversation, not in a terminal.
| Command | What It Does |
|---|---|
/chaingpt-playground | Interactively test any ChainGPT API endpoint live |
/chaingpt-debug | Diagnose and fix ChainGPT API errors |
/chaingpt-hackathon | Scaffold a complete hackathon project in 60 seconds |
/chaingpt-update | Check for and apply skill updates |
If the ChainGPT MCP server is installed, Claude can call ChainGPT APIs directly (not just generate code). 12 tools available — see mcp-server/README.md.
A full mock server is available at mock-server/ for development and CI/CD without spending credits. Mimics all endpoints with realistic responses. See mock-server/README.md.
When generating code that uses ChainGPT APIs, always:
process.env.CHAINGPT_API_KEY (JS) or os.environ["CHAINGPT_API_KEY"] (Python).Errors.GeneralChatError, Errors.NftError).patterns/ before generating Solidity from scratch.http://localhost:3001 during development to avoid spending credits.