What problem does it solve?
butterql teaches an LLM to translate a Polymarket price thesis into a fully defined-risk multi-leg bracket trade, guiding discovery, planning, confirmation, and execution so users never skip gating or risk visualization.
Core Features & Use Cases
- Recall & parse: Starts by fetching durable memory, extracts asset/thesis/price bounds, and validatesdates before touching live markets.
- Discovery + planning: Uses the Polymarket CLI or fixture data to fetch neg-risk bins, verifies order minimums, enforces dollar and liquidity checks, and selects corridor, wedge, fence, or ladder shapes with clear size math.
- Explain & confirm: Presents the commanded scenario table listing every bin, details per-leg costs, states the data source, and ends with the mandatory
Confirm? [y/n] gate prior to any execution attempt.
Quick Start
Point your coding agent at SKILL.md and ask it to plan a defined-risk BTC bracket trade.