llmquant-prediction-markets
Router skill for LLMQuant prediction-market workflows. Use when the user needs event odds, settlement criteria, probability gaps, cross-market pricing, or prediction-market arbitrage review.
npx skills add LLMQuant/skills --skill llmquant-prediction-markets --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# LLMQuant Prediction Markets This category routes event-probability workflows for prediction markets, options-implied probabilities, and tradable event risk. ## Routing Rules 1. Identify the event, venue, contract, settlement rule, deadline, related assets, and requested output. 2. Select the closest workflow below. 3. Open only that workflow and any referenced local resources. 4. Use LLMQuant Data for prediction-market contracts, prices, liquidity, options, macro, news, and related asset prices. 5. Report contract timestamps, settlement criteria, liquidity, fees, market windows, and missing inputs. ## Workflow Index | User intent | Workflow | |---|---| | Produce an event probability research brief from market odds and evidence. | [`workflows/event-probability-brief.md`](workflows/event-probability-brief.md) | | Check prediction-market cross-venue or contract-level arbitrage conditions. | [`workflows/prediction-market-arb-watch.md`](workflows/prediction-market-arb-watch.md) | | Compare prediction-market odds with options-implied or asset-implied event pricing. | [`workflows/probability-vs-options-pricing.md`](workflows/probability-vs-options-pricing.md) | ## LLMQuant Data Contract
- Routing Rules
- Workflow Index
- LLMQuant Data Contract
What does the llmquant-prediction-markets skill do?
Router skill for LLMQuant prediction-market workflows. Use when the user needs event odds, settlement criteria, probability gaps, cross-market pricing, or prediction-market arbitrage review.
How do I install it?
Run `npx skills add LLMQuant/skills --skill llmquant-prediction-markets --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From LLMQuant/skills, a repository with 183 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.