Market Daily Review

Generate A-share end-of-day market review reports with Pandadata data, covering trade-date checks, index performance and valuation, market breadth, limit-up/down sentiment, industries/concepts, 龙虎榜, block trades, margin financing, northbound holdings, risk notes, and optional scheduled after-close automation. Use when the user asks for 今日复盘, 收盘总结, 每日市场报告, A股复盘, 龙虎榜复盘, 北向资金动向, or to set up an automated daily market review.

53 stars 8 forksProductivity & Notes

Install

skills CLI (Claude Code, Cursor, Codex and more)

npx skills add quantskills/skill-market-daily-review --skill market-daily-review

Manual install

git clone --depth 1 https://github.com/quantskills/skill-market-daily-review.git /tmp/skill-market-daily-review
mkdir -p ~/.claude/skills
cp -r /tmp/skill-market-daily-review/. ~/.claude/skills/market-daily-review

Personal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.

From the SKILL.md

```json qsh-form
{
  "version": 1,
  "task": {
    "placeholder": "补充复盘口径或特别要求（可选）",
    "required": false
  },
  "fields": [
    {
      "key": "date",
      "label": "复盘日期",
      "type": "date",
      "help": "留空时使用最近已完成的 A 股交易日"
    },
    {
      "key": "focus",
      "label": "重点关注",
      "type": "text",
      "placeholder": "例如：北向持仓、半导体板块、龙虎榜"
    }
  ],
  "prompt_template": "{{#task}}任务与材料：\n{{task}}\n\n{{/task}}{{#attachments}}用户上传的材料（已放入工作区）：\n{{attachments}}\n\n{{/attachments}}执行 A 股收盘复盘。{{#date}}以 {{date}} 为目标日期。{{/date}}未指定日期时以最近已完成的 A 股交易日为目标日期。{{#focus}}重点关注 {{focus}}。{{/focus}}先核验交易日，再覆盖指数表现与估值、市场宽度、涨跌停情绪、行业与概念、龙虎榜、大宗交易、两融、北向持仓和风险提示，逐项标注数据接口与日期并说明滞后或缺失数据，输出中文报告。"
}
```

# Market Daily Review

Use this skill to generate factual A-share after-close review reports. Prefer Pandadata as the data source, keep every statistic traceable to an interface and data date, and never invent missing figures.

## Workflow

1. Determine the target date. If the user does not provide one, use the latest completed A-share trading day. Check `get_last_trade_date` and `get_trade_cal`; if the target date is closed, return a short "今日休市" note instead of a full report.
2. Load `pandadata-api` before making real API calls. Use its method index or search script to confirm parameters and fields; do not guess Pandadata signatures.
3. Collect data in this order:
   - Trading calendar and stock universe: `get_last_trade_date`, `get_trade_cal`, `get_trade_list`.

Read the full skill on GitHub

Details

Skill name: market-daily-review
Repository: quantskills/skill-market-daily-review
License: GPL-3.0
Repo updated: 16 July 2026

FAQ

What does the Market Daily Review skill do?

How do I install the Market Daily Review skill?

skills CLI (Claude Code, Cursor, Codex and more): npx skills add quantskills/skill-market-daily-review --skill market-daily-review. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.

Is Market Daily Review popular?

It lives in quantskills/skill-market-daily-review, which has 53 GitHub stars and 8 forks.

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