把量化策略开发的领域知识——研报解读、因子回测、信号生成——封装成标准技能。丢一句话给 AI 就能安装，Claude Code、Cursor、Codex 等 70+ AI 编程工具直接可用。 Quant strategy know-how — research-report parsing, factor backtesting, signal generation — packaged as standard skills. Install by sending your AI one sentence; works in Claude Code, Cursor, Codex and 70+ AI coding tools.
技能列表由社区需求驱动、持续生长，全部按 Agent Skills 开放标准在 CI 中自动校验。 The skill list is community-driven and keeps growing — every skill is automatically validated in CI against the open Agent Skills standard.
qmt-inner-backtest
根据策略描述、研报 PDF 或截图解读因子逻辑，基于母版脚本生成 QMT 策略编辑器内置的日频截面因子回测策略。 Parses factor logic from strategy descriptions, research-report PDFs or screenshots, then generates a daily cross-sectional factor backtest for the QMT strategy editor from a battle-tested master template.
qmt-live-strategy-template
想先用？来催更 →Want it sooner? Tell us →
qmt-live-signal-feishu
想先用？来催更 →Want it sooner? Tell us →
你在 QMT 量化中的重复劳动，都可能值得做成一个技能。一句话的想法也欢迎。Any repetitive QMT quant chore might deserve to become a skill. Even a one-sentence idea is welcome.
提交技能需求 →Submit a skill request →每个技能是一个含 SKILL.md 与母版脚本的文件夹，遵循开放的 Agent Skills 标准。没有服务进程、没有额外依赖。 Each skill is a folder with a SKILL.md and master scripts, following the open Agent Skills standard. No server process, no extra dependencies.
习惯命令行的话，一条命令交互式选择要安装到的工具，覆盖 70+ AI 编程工具。加 --skill 只装某个技能，加 -g 装到全局目录。Prefer the command line? One command interactively picks the target tool, covering 70+ AI coding tools. Add --skill for a single skill, -g for the global directory.
# 交互式选择要安装到的工具 npx skills add dfkai/xtquantai # 只装某个技能 npx skills add dfkai/xtquantai --skill qmt-inner-backtest # 装到全局目录（所有项目可用） npx skills add dfkai/xtquantai -g
通过 Claude Code 的插件市场安装，两条斜杠命令完成。Install through Claude Code's plugin marketplace with two slash commands.
/plugin marketplace add dfkai/xtquantai /plugin install qmt-skills@xtquantai
Kimi Code 用户一条命令直接装。Kimi Code users install with a single command.
/plugins install https://github.com/dfkai/xtquantai
把 skills/ 下的技能文件夹整个复制到所用工具的技能目录（必须包含 SKILL.md 和 scripts/，目录名不变）。Copy the whole skill folder from skills/ into your tool's skills directory (keep SKILL.md, scripts/ and the folder name intact).
| Claude Code | .claude/skills/ |
| Cursor (≥2.4) | .cursor/skills/ |
| Codex CLI | .agents/skills/ |
| 通用 / 其他工具Universal / others | .agents/skills/ |
全部 12+ 工具的目录对照表见 GitHub README。The full directory table for 12+ tools is in the GitHub README.
git clone --depth 1 https://github.com/dfkai/xtquantai.git mkdir -p .claude/skills cp -r xtquantai/skills/qmt-inner-backtest .claude/skills/
这份研报（附 PDF / 截图）的上下影线因子，帮我生成一个中证1000、Top 10 持仓、5 日调仓的 QMT 回测脚本。 Take the shadow-line factor from this research report (PDF / screenshot attached) and generate a QMT backtest script: CSI 1000 universe, top-10 holdings, 5-day rebalance.
默认 T 日收盘算因子、T+1 日开盘调仓；需要改调仓逻辑直接说明即可。 By default factors are computed at T close and rebalanced at T+1 open — just say so if you want different timing.
Agent 先输出策略规格表——股票池、持仓数、调仓频率、因子方向——由你确认后才动手。The agent first outputs a spec table — universe, holdings, rebalance cadence, factor direction — and only proceeds after you confirm.
基于母版只替换因子与配置区，交易执行和防未来函数检查原样保留，附自检清单。Only the factor and config sections change from the master template; trade execution and look-ahead checks stay intact, with a self-check list attached.
粘贴到 QMT 策略编辑器 → 编译 → 按提示核对日期 / 资金 / 费率 → 运行回测看收益曲线。Paste into the QMT strategy editor → compile → verify dates / capital / fees per the checklist → run and review the equity curve.
这个项目靠社区需求驱动——你在 QMT 量化中遇到的重复劳动，都可能值得做成一个技能。所有技能在 CI 中按 Agent Skills 标准自动校验，维护流程公开透明。 This project is driven by community needs — any repetitive chore in your QMT quant workflow might deserve to become a skill. Every skill is CI-validated against the Agent Skills spec, with a public maintenance playbook.
一句话的想法也欢迎，用模板描述场景即可。Even a one-sentence idea is welcome — the template walks you through it.
提交技能需求 →Submit a request →带上报错日志和复现步骤，修复会更快。Attach logs and repro steps — fixes land faster.
反馈 Bug →Report a bug →使用咨询、因子想法、回测经验，都在这里聊。Usage questions, factor ideas, backtest experience — it all lives here.
去 Discussions →Open Discussions →阅读贡献指南，按标准提 PR，CI 自动校验。Read the guide, open a PR — CI validates against the spec automatically.
贡献指南 →Contributing guide →.agents/skills/；只用 Claude 系工具可以放 .claude/skills/。完整目录对照表见 README。
Claude Code, Cursor, Codex, Gemini CLI, Kimi Code, Windsurf, Cline, Trae and 70+ tools that support the Agent Skills standard. The universal directory is .agents/skills/; Claude-family tools can use .claude/skills/. See the README for the full table.
shift(1)：T 日收盘算因子，T+1 日开盘调仓，并在生成后的自检清单中逐项检查。除非你明确要求当日收盘调仓并接受前视偏差，否则不会去掉滞后。
The skill enforces shift(1) on signals: factors computed at T close trade at T+1 open, verified item-by-item in the post-generation checklist. The lag is never removed unless you explicitly ask for same-day rebalancing and accept the bias.
开源 · MIT 许可 · 欢迎 Star、技能需求与 PR Open source · MIT licensed · Stars, skill requests and PRs welcome