Polymarket

Analyze Polymarket prices and resolution conditions into timestamped summaries.

577|62|Updated May 15, 2026
One-click install
npx skills add https://github.com/agentic-in/elephant-agent --skill polymarket-agentic-in
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Polymarket
Source: https://github.com/agentic-in/elephant-agent/tree/main/packages/skills/builtin_packages/research/polymarket
Command: npx skills add https://github.com/agentic-in/elephant-agent --skill polymarket-agentic-in

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Prediction-market data can be noisy and time-sensitive; this skill helps users interpret prices and resolution conditions to produce reliable, bias-aware summaries.

Core Features & Use Cases

  • Read current price and implied probability from a market question.
  • Separate market signals from personal interpretation to avoid bias.
  • Provide timestamped summaries for rapid decision-making and reporting.

Quick Start

Analyze a polymarket question by asking for its current price and implied probability, then generate a concise, timestamped summary.

Frequently Asked Questions about Polymarket

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

FAQPage Schema
How do I interpret prediction-market prices and implied probabilities?

To interpret prediction-market prices, you read current prices as implied probabilities, separate raw market signals from subjective interpretation, and generate timestamped summaries for time-sensitive decision-making.

How do I summarize live Polymarket bets and event outcomes?

Summarize live Polymarket bets by inspecting current prices and resolution conditions, then generating concise, timestamped outputs that reflect rapid market updates and event outcomes.

What is the best way to separate market signals from interpretation bias?

The best way to separate market signals from interpretation bias is to inspect raw prices and resolution conditions independently, ensuring your probability summaries remain objective and bias-aware.

How do I generate timestamped summaries for rapidly updating prediction markets?

Generate timestamped summaries for rapidly updating prediction markets by reading current prices, evaluating resolution conditions, and explicitly time-stamping the output to reflect time-sensitive market signals.

Does this approach work for analyzing futures and live bets on event outcomes?

Yes, this approach works for analyzing futures and live bets by applying price inspection and resolution condition evaluation to contexts where rapid market updates and event outcomes occur.

When should I not use prediction-market summaries for decision-making?

Avoid using prediction-market summaries when market data is excessively noisy, outdated, or when resolution conditions are ambiguous, as time-sensitive signals require clear, current price inputs to avoid bias.