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Build Next-Gen NFT Apps with Rarible API โšก Real-Time Data ๐ŸŒ Multiple Marketplaces & Blockchains ๐Ÿค Trading SDK ๐Ÿ’ก Limitless Innovation One API. Infinite Possibilities. Come test it yourself.

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How to build a viral Web3 app in an afternoon using the ChainGPT AI skill for Claude Code. No coding experience required. I built Roast My Wallet. Paste any Ethereum wallet address, get a savage AI-generated roast of your trading history, a Degen Score out of 100, an on-chain report card, and three AI-generated NFT portraits. Here's exactly how it came together. Setup (3 minutes): ๐Ÿ”ธInstall Claude Code at ๐Ÿ”ธRun /plugin install ChainGPT-org/chaingpt-claude-skill ๐Ÿ”ธGet an API key at ๐Ÿ”ธType /chaingpt and describe what you want to build What the skill actually does: The ChainGPT skill doesn't just give you starter code. It knows the entire API. Every endpoint, every parameter, every credit cost, every error code. When I asked it to build the roast feature, it knew to call the LLM endpoint, how to stream the response back to the browser in real time, and how to handle errors automatically. I didn't look up a single thing. How it works under the hood: 1. Pulls real ETH balance and transaction count from the Ethereum blockchain 2. Feeds those numbers into ChainGPT's LLM and streams the roast back live 3. Calculates a Degen Score from your tx count vs balance ratio 4. Generates a report card with letter grades across Trading, Patience, Risk, Diamond Hands, and NGMI 5. Uses the roast text to generate three custom NFT portraits in parallel via VeloGen 6. Packages everything into a downloadable PNG card ready to post 7. Every feature came from describing what I wanted: 8. "Make the API key server-side." Done. 9. "Add an animated arc gauge for the degen score." Done. 10. "Generate NFT portraits using the roast text as context." Done. I never wrote a function or debugged an API response. I described outcomes. The ChainGPT skill handled the rest. If you can describe what you want to build, you can build it. Get your API key. Install the skill. /plugin install ChainGPT-org/chaingpt-claude-skill Anyone can build with ChainGPT AI!

ChainGPT

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February 2025 at G.A.M.E: Autonomous Commerce, Scalability, and Expansion 1/ AGENT COMMERCE PROTOCOL(ACP) Demo โ–ธ Open standard for multi-agent commerce and coordination on blockchain โ–ธ Enables AI agents to collaborate without centralized control โ–ธ Build Autonomous Commerce (hedge funds, media empires, healthcare) โ–ธ Details: 2/ X ENTERPRISE API & MEDIA GALLERY โ–ธ X Enterprise Plugin: Use G.A.M.Eโ€™s credentials for higher rate limits โ–ธ Media Gallery: Upload agent demos (mp4, webm, images). โ–ธ Tap into 550M+ users for explosive growth 3/ Solana AGENT SUPPORT (G.A.M.E CLOUD) โ–ธ Test/deploy Solana agents in-sandbox โ–ธ Unified multi-chain workflows โ–ธ Shatter siloed testing 4/ Mind Network PLUGIN (G.A.M.E SDK) โ–ธ FHE-encrypted voting for DAOs โ–ธ Track vFHE rewards natively โ–ธ First SDK with on-chain governance 5/ CHAT AGENT MODULE (G.A.M.E SDK) โ–ธ Llama 3.3 70B via Groq API โ–ธ Engage in dynamic AI-driven interactions with the ability to trigger functions. โ–ธ Conversational AI with Action Execution โ–ธ Short-term memory for context awareness 6/ CoinGecko PLUGIN (G.A.M.E SDK) โ–ธ Real-time crypto prices/market data โ–ธ Built-in error handling โ–ธ Community-contributed 7/ Elfa AI PLUGIN (G.A.M.E SDK) โ–ธ Real-Time Crypto Intelligence โ–ธ Track whale wallets & trending tokens โ–ธ Live smart money insights โ–ธ Front-run markets with API data 8/ MULTI-MODEL SUPPORT โ–ธ 5 new models: Llama_3_1_405B, Qwen_2_5_72B_Instruct, DeepSeek_R1, etc. โ–ธ Match models to tasks: speed vs. creativity โ–ธ Optimize cost/performance 9/ Farcaster PLUGIN โ–ธ Post casts to 300K+ decentralized users โ–ธ Engage Web3-native communities โ–ธ On-chain social interactions 10/ GAME SDK UPGRADES โ–ธ X Username-Based Payments โ–ธ Multi-worker task management โ–ธ Fix loops/hallucinations with memory reset 11/ Coinbase ๐Ÿ›ก๏ธ CDP PLUGIN โ–ธ Wallet Management โ–ธ Gas-less USDC transfers โ–ธ ETH/USDC trading on Base โ–ธ Web-hook Integration 12/ IMAGE GENERATION โ–ธ Generate custom AI images from text-based prompts. โ–ธ Customizable dimensions up to 1440x1440. โ–ธ Receive images as temporary URLs, making it easy to share and store outputs. โ–ธ Powered by Together AI 13/ MODEL UPGRADES & AI ROUTER โ–ธ Dynamic AI Model Switching based on use case โ–ธ Smart AI Router: 2x performance/stability via Chasm collaboration. 14/ Why February Redefined Autonomy โ–ธ ACP Demo through G.A.M.E: Multi-agent economies are programmable, competitive, and decentralized. โ–ธ Social x Crypto Fusion: = Viral growth loops. โ–ธ Chain Agnosticism: Building the future where agents thrive on any network. Build โ†’ Fund โ†’ Launch โ†’

G.A.M.E

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Goldman pays $27,000 per seat for a Bloomberg Terminal. I found 10 open source tools on GitHub that replicate almost all of it for free. Retail investors have never had this much firepower. Bookmark & Repost this one: 1. OpenBB Stocks, options, crypto, forex, and macro data in one research platform. Build your own dashboards, reports, and AI analysts on top of it. The OG of open source finance. 50K+ stars. 2. FinceptTerminal A full financial terminal: global market data, advanced charts, economic indicators, portfolio analysis, and AI research tools. Windows, Mac, and Linux. 3. Neuberg 516 drag-and-drop panels covering equities, bonds, commodities, currencies, credit, and macro. Even connects to Alpaca, Hyperliquid, and Polymarket so you can trade from the terminal itself. 4. Qlib (by Microsoft) An open source AI platform for quant investing. Train ML models, discover signals, backtest strategies, and build portfolios with the same workflow a quant desk uses. 5. FinRobot An AI equity research team on your laptop. Its agents read financial statements, build DCF valuations, debate bull vs bear cases, and generate full investment reports. 6. EdgarTools Turns the SEC database into something humans can actually use. Pull 10-Ks, 10-Qs, insider trades, executive pay, and hedge fund holdings going back to 1994. 7. LEAN (by QuantConnect) An institutional-grade engine for trading algorithms. Write strategies in Python or C#, backtest on decades of data, then connect to real brokers and go live. 8. FinanceToolkit 200+ financial ratios, valuation models, risk metrics, and economic indicators. Works on stocks, ETFs, options, currencies, commodities, and crypto from Python. 9. Ghostfolio A private wealth dashboard for stocks, ETFs, and crypto across all your accounts. Performance, allocation, diversification. Your data never leaves your machine. 10. OpenTerminalUI A self-hosted trading terminal: pro charts, screeners, options chains with live Greeks, portfolio optimization, backtesting, and an AI research agent. Runs entirely on your own hardware. Bloomberg spent 40 years building a $27,000/year moat. Open source is draining it one repo at a time. The software is free. Some live data feeds need your own API keys, but the barrier is now effort, not money. If you want the exact workflows we use to stack these tools with AI, join the AIBullss Discord:

AI Bulls

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Claude and a free weather API will earn you $100k+. Success rate for beginners: 80%. Complete guide and algorithm for building Polymarket weather trading bot. Simple logic, a low entry budget and high ROI -thatโ€™s why weather bots are so clean. Onchain proof these bots exist: 1st bot: 2nd bot: I verified their profitability by myself copying every trade - each bot's win rate over time ranges from 80 to 90%. I grew my starting capital by +40% in just one week. You can copy their trades and see for yourself in two clicks through this bot: The alpha is simple: you're not trading weather. You're trading other people's ignorance. Gap between what the crowd prices and what 51 ensemble models say. Polymarket asks: "Will Atlanta hit 95ยฐF tomorrow?" Normies bet on vibes. You bet on math. The core tool: Open-Meteo API. Free. No key needed. 51-model ensemble. Clean JSON. Cooked and ready. Update every 30 min. Hardcode your city coordinates - don't waste time on geocoding at runtime. This single endpoint beats most paid tools for what Polymarket actually needs. The edge in one sentence: Market is heavy on 16ยฐC. Your 51-model ensemble points at 19ยฐC. That's your trade. Find that gap systematically across every city market, every day - and you have a scanner. That's what separates consistent traders from gamblers. How to start: - Week 1: Open-Meteo + tropicaltidbits. Pick one city market. Track model vs market price daily. Don't trade yet โ€” just watch where you'd have been right. - Weeks 2โ€“3: Automate the pull. Log ensemble divergences. Build the scanner. - Week 4: Now you have an edge. Trade it. Most people want to skip to week 4. That's exactly why most people lose. Now you have the algorithm framework plus a complete guide to get started. All that's left is to actually do it. Bookmark this post so you can come back to it when you start building the bot.

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