joinquant-skill

What problem does it solve?

AI agents often struggle to generate correct, runnable code for the JoinQuant platform. This Skill provides a structured API knowledge base, production-ready templates, static linting, factor libraries, and a research-to-strategy pipeline to ensure accurate results and smooth integration.

Core Features & Use Cases

• Progressive-disclosure API references split into 14 categories (14 API categories, 294KB doc) to guide AI prompt routing.
• 5 production-ready strategy templates (basic, multi-factor, ETF rotation, momentum, mean-reversion) with embedded rationale and guardrails.
• Local lint tool that catches hallucinated APIs, future-function violations, and missing price-mode/slippage/commission settings.
• Factor library and single-factor analysis tools for local research and model evaluation.
• Research importer pipeline to translate broker研报 into JoinQuant-compatible code.

Quick Start

Use a natural-language request like: "Write a mean‑reversion strategy for the Shanghai market using RSI and Bollinger bands and paste it into JoinQuant editor."