Trade prediction markets on Polymarket. Search markets, place orders, and manage positions.
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install luckylobster-skillOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install luckylobster-skillβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/luckylobster-skill/π‘Extract and place the folder at the path above, then restart your agent.
Category
πFinance & InvestmentPlatforms
What LuckyLobster can do for your AI workflow
Trade prediction markets directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,424+ developers worldwide
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing LuckyLobster
Help me get started with LuckyLobster
Explains what LuckyLobster does, walks through the setup, and runs a quick demo based on your current project
Use LuckyLobster to trade prediction markets on Polymarket
Invokes LuckyLobster with the right parameters and returns the result directly in the conversation
What can I do with LuckyLobster in my finance & investment workflow?
Lists the top use cases for LuckyLobster, with example commands for each scenario
Guides & tutorials for AI skills
LuckyLobster extends your AI assistant with the ability to trade prediction markets on Polymarket. Search markets, place orders, and manage positions. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using LuckyLobster as its underlying capability.
LuckyLobster works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install LuckyLobster 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.
To install LuckyLobster, copy the skill folder to `~/.claude/skills/luckylobster-skill/` for use across all your projects, or `.claude/skills/luckylobster-skill/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/luckylobster-skill` or just describe your goal and the AI will pick it up automatically.
LuckyLobster has been installed 1,424 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.
Place the skill folder at ~/.claude/skills/luckylobster-skill/ for personal use (all projects), or .claude/skills/luckylobster-skill/ for project-specific use. Restart your AI client, then invoke with /luckylobster-skill or let the AI discover it automatically.
LuckyLobster supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
LuckyLobster is free to install. Check the repository for licensing information.
Trade prediction markets on Polymarket. Search markets, place orders, and manage positions.
Automate my finance & investment tasks using LuckyLobster
Identifies repetitive steps in your workflow and sets up LuckyLobster to handle them automatically
MCP vs traditional plugins: what's the difference?
LuckyLobster is categorized under Finance & Investment. These skills help AI agents perform specialized tasks in this domain.