claude

for-liangshuyuan-tasks

Multi-agent collaboration framework for Liangshuyuan tasks, organizing quantitative tools, build workflows, and task roles.

5 on GitHubGPL-3.0updated yesterday09
/

Plugin for-liangshuyuan-tasks from marketplace quantskills in quantskills/registry. Commands read from the repo's manifest — today.

What it installs

Skills (11)

  • panda-builder

    当需要在 panda-trading 项目中创建或验收一个新的 BUILD skill 时,使用此 skill。该 skill 确保目录结构、代码接口、文档格式符合 BUILD 开发与生产规则。

  • analyst-agent

    读取 jobs/*.txt 任务文件,解析任务内容,输出结构化 TaskSpec,明确任务边界、逻辑、输入输出和歧义项,供主 Agent 调度使用。

  • dev-alpha-agent

    负责开发 Alpha 信号与因子类任务(A 前缀任务),按 Alpha 因子开发与生产规则生成因子代码、回测脚本和文档。

  • dev-build-agent

    负责开发 BUILD 类量化工具(B 前缀任务),运行 panda-builder skill,按规范生成目录结构、代码接口和文档,并通过 Python 运行验证。

  • main-agent

    panda-trading 项目的主调度 Agent,负责接收用户任务、编排子 Agent 协作、把控整体开发流程,确保任务按规范完成交付。

  • publish-agent

    任务通过测试后自动发布——将开发产物发布为 quantskills 组织下的独立 skill 仓库(skill- 前缀、GPLv3、多平台入口、免责声明)。父仓库零变更。

  • test-agent

    负责为已完成开发的 BUILD 或 Alpha 任务生成测试用例并运行,输出结构化 TestReport,包含 Bug 清单。测试 Agent 无权修改任何代码文件。

  • alpha-a00-five-day-momentum-production

    当需要读取五日动量 Alpha 的生产计算结果时,使用此 skill。该 skill 只读取已生成的 Parquet 结果,不在调用时重新计算因子。

  • alpha-a00-five-day-momentum

    当需要开发、计算、验证五日动量因子时,使用此 skill。支持因子计算、无未来函数检测、IC/ICIR 回测评估和信号输出。

  • build-b00-price-change-flag-production

    当需要读取涨跌幅异常标记的生产结果时,使用此 skill。该 skill 读取已生成的 Parquet 结果,不重复执行重计算流程。

  • build-b00-price-change-flag

    当需要识别股票涨跌幅异常状态时,使用此 skill。该 BUILD 提供涨跌幅异常标记能力,可被 agent 或 Alpha 调用。

Subagents (1)

  • TASK_REQUIREMENTS
View source on GitHub

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