{"skill":{"slug":"workbuddy-gm-quant","displayName":"WorkBuddy 掘金量化助手 (GM版)","summary":"掘金量化 Python SDK 专家技能。 当用户提到掘金、gm、gm.api、掘金量化、掘金策略、掘金SDK、掘金终端、 量化策略开发、回测、实时行情、订阅行情、历史行情、下单、委托、持仓、 order_volume、subscribe、history、set_token、get_symbols、get_sym...","tags":{"automation":"1.0.0","finance":"1.0.0","gm":"1.0.0","joinquant":"1.0.0","latest":"1.0.0","quant":"1.0.0","stock":"1.0.0","trading":"1.0.0","workbuddy":"1.0.0"},"stats":{"comments":0,"downloads":37,"installsAllTime":0,"installsCurrent":0,"stars":0,"versions":1},"createdAt":1777450189333,"updatedAt":1777452406830},"latestVersion":{"version":"1.0.0","createdAt":1777450189333,"changelog":"gm-quant v2.0.0 is a major upgrade, introducing a natural language strategy assistant for JQ Quant Python SDK:\n\n- Added a natural language strategy engine: users describe trading ideas in Chinese, and complete executable strategy code is generated automatically.\n- Enforced user-provided strategy_id for persistent backtest results and terminal integration.\n- Standardized strategy template covering workflow from requirement extraction, code generation, to one-click backtest/run via scripts.\n- Expanded and clarified core principles, handling modes, API conventions, symbol formats, and data-query protocols.\n- Improved workflow and user prompts for ambiguous inputs; robust handling of strategy parameters and defaults.\n- Added comprehensive documentation and usage examples to streamline quant strategy development.","license":"MIT-0"},"metadata":null,"owner":{"handle":"turkeydick","userId":"s1720w1mawags81sjr872kwe1185smvf","displayName":"Turkeydick","image":"https://avatars.githubusercontent.com/u/134494150?v=4"},"moderation":null}