Skip to content
FunCoding

Search

Search docs, Skills and MCP

chaingpt

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.

数据库与数据6.4kvendored/chaingpt/chaingpt/SKILL.md

Install

Send this to Claude Code, Codex or Cursor. The agent checks the Skill for safety first and installs it only after you confirm.

读取 https://funcoding.ai/skills/internet-court/internet-court-skill/chaingpt/install.md ,按里面的步骤帮我安装这个 Skill。

SKILL.md

ChainGPT Developer Skill

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.

Platform Overview

ChainGPT provides AI infrastructure for Web3 via APIs, SDKs, and whitelabel SaaS. All API products share:

Getting an API Key

  1. Visit https://app.chaingpt.org — connect a crypto wallet to sign up
  2. Navigate to API Keys → "Create New Secret Key"
  3. Store the key securely (env var or secret manager — shown only once)
  4. Ensure sufficient credits (crypto, $CGPT token, or credit card)
  5. 15% bonus when paying with $CGPT or via monthly auto-top-up

Products at a Glance

ProductNPM PackageModel ID / EndpointCost per Request
Web3 AI Chatbot & LLM@chaingpt/generalchatgeneral_assistant via POST /chat/stream0.5 credits (+0.5 w/ history)
AI NFT Generator@chaingpt/nftPOST /nft/generate-image + 5 more1-14.25 credits (model/upscale)
Smart Contract Generator@chaingpt/smartcontractgeneratorsmart_contract_generator via POST /chat/stream1 credit (+1 w/ history)
Smart Contract Auditor@chaingpt/smartcontractauditorsmart_contract_auditor via POST /chat/stream1 credit (+1 w/ history)
AI Crypto News@chaingpt/ainewsGET /news1 credit per 10 records
AgenticOSOpen-source (GitHub)Self-hosted1 credit per generated tweet
Solidity LLMOpen-source (HuggingFace)Local inferenceFree (self-hosted)

Python: pip install chaingpt (unified package for all products)

Quick Starts

1. Web3 AI Chatbot & LLM

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.

2. AI NFT Generator

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.

3. Smart Contract Generator

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

4. Smart Contract Auditor

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

5. AI Crypto News

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

6. AgenticOS (Open-Source Twitter AI Agent)

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

7. Solidity LLM (Open-Source)

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

Project Scaffolding Templates

When a developer asks to scaffold a project, read the appropriate template file and generate the complete working starter code:

RequestTemplate 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

Detailed Reference Files

When you need specifics beyond this quickstart, read the corresponding reference file:

TopicFile
LLM Chatbot — full API, context injection, tones, enumsreference/llm-chatbot.md
NFT Generator — all endpoints, models, styles, chainsreference/nft-generator.md
Smart Contract Generator — params, SDK, historyreference/smart-contract-generator.md
Smart Contract Auditor — audit params, SDK, report formatreference/smart-contract-auditor.md
Crypto News — categories, tokens, RSS feedsreference/crypto-news.md
AgenticOS — setup, webhooks, deploymentreference/agenticos.md
Solidity LLM — model specs, training, benchmarksreference/solidity-llm.md
SaaS & Whitelabel — launchpad, staking, vesting productsreference/saas-whitelabel.md
Pricing — complete credit costs across all productsreference/pricing.md
Error Codes — HTTP errors, SDK exceptions, troubleshootingreference/error-codes.md
Product Selection — decision matrix, cost estimates by scalereference/product-selection.md
Wallet Integration — MetaMask, WalletConnect, minting flowsreference/wallet-integration.md
Advanced Patterns — streaming, rate limiting, caching, circuit breakerreference/advanced-patterns.md
Deployment — Vercel, Railway, Docker, AWS Lambda, CI/CDreference/deployment.md
Cost Optimization — caching, batching, history toggle strategiesreference/cost-optimization.md
TypeScript Types — complete request/response interfacesreference/typescript-types.md

Working Code Examples

Complete runnable examples are in the examples/ directory:

  • examples/js/chatbot-stream.js — Streaming chatbot with context injection
  • examples/js/nft-generate-mint.js — Generate image + mint NFT on BSC
  • examples/js/audit-contract.js — Audit a Solidity contract file
  • examples/js/fetch-news.js — Fetch filtered crypto news
  • examples/python/chatbot_stream.py — Async streaming chatbot
  • examples/python/nft_generate_mint.py — Generate + mint NFT
  • examples/python/audit_contract.py — Audit contract from file
  • examples/python/fetch_news.py — Fetch and display news

Credit Cost Estimator

Before generating code that makes API calls, always estimate and report the credit cost to the developer. Use this reference:

OperationCreditsUSD
LLM Chat (single request)0.5$0.005
LLM Chat + history1.0$0.01
NFT Generate (VeloGen/Nebula/Visionary)1.0$0.01
NFT Generate + 1x upscale2.0$0.02
NFT Generate + 2x upscale3.0$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 Enhancement0.5$0.005
NFT Mint / Chains / ABI0Free
Contract Generator1.0$0.01
Contract Generator + history2.0$0.02
Contract Auditor1.0$0.01
Contract Auditor + history2.0$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").

Smart Contract Patterns

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.

Migration Guides

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)

Additional Skills

These are Claude Code skill commands — invoke them in any Claude conversation, not in a terminal.

CommandWhat It Does
/chaingpt-playgroundInteractively test any ChainGPT API endpoint live
/chaingpt-debugDiagnose and fix ChainGPT API errors
/chaingpt-hackathonScaffold a complete hackathon project in 60 seconds
/chaingpt-updateCheck for and apply skill updates

MCP Server

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.

Mock Server for Testing

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.

Key Conventions

When generating code that uses ChainGPT APIs, always:

  1. Store API keys in environment variables — never hardcode. Use process.env.CHAINGPT_API_KEY (JS) or os.environ["CHAINGPT_API_KEY"] (Python).
  2. Handle credit exhaustion — check for HTTP 402/403 and prompt the user to top up at https://app.chaingpt.org/addcredits.
  3. Use streaming for chat-based products when building user-facing UIs — better UX than waiting for full response.
  4. Include error handling — wrap SDK calls in try/catch with product-specific error classes (e.g., Errors.GeneralChatError, Errors.NftError).
  5. Use sdkUniqueId for multi-user apps — isolates chat history per user/session.
  6. Prefer the SDK over raw REST — handles auth, streaming, and error typing automatically.
  7. Estimate credit costs before batch operations — always tell the developer what the operation will cost before running it.
  8. Use patterns for contracts — check patterns/ before generating Solidity from scratch.
  9. Use the mock server for testing — point to http://localhost:3001 during development to avoid spending credits.

Similar Skills

xlsx
anthropics/skills180k

xlsx

Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .xltx, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.

Databases & data

deprecation-and-migration
addyosmani/agent-skills103k

deprecation-and-migration

Manages deprecation and migration. Use when removing old systems, APIs, or features. Use when migrating users from one implementation to another. Use when migrating a database schema in production, such as renaming or dropping a column without downtime (expand/contract). Use when deciding whether to maintain or sunset existing code.

Databases & data

make-plan
thedotmack/claude-mem99k

make-plan

No description

Databases & data

oh-my-issues
thedotmack/claude-mem99k

oh-my-issues

Cluster a GitHub issue backlog by root cause into a small set of plan-master issues, redirect children with a standardized comment, and bundle architectural-fix PRs that close clusters atomically. Use when an issue tracker has accumulated dozens of reports that share underlying defects, when asked to triage / consolidate / cluster / dedupe issues, when asked to build a plan series or roadmap from open issues, or when routing a new incoming bug into an existing plan.

Databases & data

mem-search
thedotmack/claude-mem99k

mem-search

Use this when the user asks to search memory, "did we already solve this?", "how did we do X last time?", or wants work from previous sessions.

Databases & data

handoff
thedotmack/claude-mem99k

handoff

Generate a HANDOFF.md that captures goal, current state, files touched, failed attempts, and next steps — so a fresh Claude session can continue exactly where this one left off. Use when sessions are getting long, Claude keeps retrying the same broken solution, or the user wants to step away and resume later.

Databases & data