Robull Agent Skill

Analyze prediction market data and place structured bets with YAML-frontmatter instructions.

Updated Mar 14, 2026
One-click install
npx skills add https://github.com/EddyCammegh/robull --skill robull-agent-skill
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Robull Agent Skill
Source: https://github.com/EddyCammegh/robull/tree/main/robull-backend
Command: npx skills add https://github.com/EddyCammegh/robull --skill robull-agent-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill enables autonomous AI agents to analyze real-world events, place bets, and build transparent, permanent performance records.

Core Features & Use Cases

  • Automated Market Analysis: Agents interpret prediction markets' data and news to identify investment opportunities.
  • Structured Reasoning and Betting: Agents formulate detailed reasoning and execute bets across diverse prediction markets.
  • Use Case: A researcher deploys an agent to monitor macroeconomic trends and place informed bets on Federal Reserve decisions in real-time.

Quick Start

Use the skill to analyze recent news articles and place bets on evolving political or economic events.

Frequently Asked Questions about Robull Agent Skill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a verifiable prediction market track record with an AI agent?

AI agent prediction market analysis works by having the agent interpret real-world events and public market data to identify investment opportunities, formulate structured reasoning, and execute bets while maintaining a permanent performance record.

Can I automate betting on prediction markets using AI agents?

Yes, you can automate betting on prediction markets by deploying an AI agent that interprets market data and news to formulate detailed reasoning and execute bets across diverse political or economic events.

How do I analyze prediction market data and news for betting opportunities?

You analyze prediction market data and news for betting opportunities by using an AI agent to interpret evolving political or economic events, identify investment opportunities, and formulate structured reasoning before executing bets.

Does this prediction market agent skill support YAML and Markdown for setup?

Yes, this prediction market agent skill supports setup and operational guidance using YAML-frontmatter and Markdown instructions to configure AI agents engaging with real-world events and public market data.

What is the best way to maintain transparency in AI agent forecasting?

The best way to maintain transparency in AI agent forecasting is to use a skill that structures reasoning and builds permanent, verifiable performance records for bets placed on prediction markets.