This walks you through using prediction markets as data inputs for dashboards, agents, or decision support without crossing into trading advice. It structures research around liquidity checks, resolution mechanics, venue comparisons, and cross-referencing non-market sources like filings or polls. The output format keeps signal quality separate from the probability number itself, which matters when you're feeding this into automated systems or executive reporting. The guardrails are sensible: it won't pretend thin markets are reliable, and it explicitly calls out manipulation risk and stale data. Useful if you're building intelligence tooling that needs probabilistic signals but can't afford to treat market prices as ground truth.
npx -y skills add affaan-m/everything-claude-code --skill prediction-market-oracle-research --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
sickn33/antigravity-awesome-skills