emily

emily extends your AI assistant with the ability to query Radix DLT blockchain data including wallet balances and performance, token prices and market movers, validator staking info, transaction history, network statistics, ecosystem news, DeFi yield pools, XRD trading venues, dApp directory, and developer resources. Use when users ask about Radix, XRD, wallets starting with account_rdx, tokens starting with resource_rdx, staking, DeFi on Radix, .xrd domains, Attos Earn, or buying/bridging XRD. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly — and it will take care of the task end-to-end, using emily as its underlying capability.

emily works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) — an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install emily once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.

emily installs like any other MCP skill: drop the folder into `~/.claude/skills/emily/` for global access, or `.claude/skills/emily/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/emily`, or let the AI decide when it's the right tool for your request.

emily has been installed 1,228 times, making it one of the more actively used skills in the Finance & Investment category. The install rate suggests it solves a real, recurring need rather than a niche edge case. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.