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Daily Watchlist Morning Brief Skill

Generates a pre-market briefing for your watchlist, summarizing overnight announcements, news, price changes, event schedules, and key observations for the day. Ideal for pre-market quick scans, morning meeting prep, and setting your observation order.

What is Daily Watchlist Morning Brief Skill?

This AI agent skill, 'Daily Watchlist Morning Brief Skill,' is designed for financial professionals using platforms like Claude Code, Cursor, or Codex. It automates the creation of a concise, Chinese-language morning briefing for a user-defined set of watchlist stocks before market open. The skill prioritizes actionable insights over raw data by: (1) focusing on overnight changes like earnings, contracts, or policy shifts; (2) filtering noise to highlight only market-moving events; and (3) ranking stocks by importance, urgency, and uncertainty. It requires the `wind-mcp-skill` for underlying data and follows a strict six-step workflow to ensure the output is a clean, judgment-driven report with tables, prioritized conclusions, and pre-market action tips. The final output is structured to be readable in under three minutes, avoiding generic news in favor of specific 'where to look first' guidance.

Works with~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/wind-alice/alicemarket/tree/main/skills/daily_watchlist_morning_brief_skill

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Documentation

What does Daily Watchlist Morning Brief Skill do?

Data Dependencies & Prerequisites

It is recommended to use the wind-mcp-skill for underlying data. Before execution, check if wind-mcp-skill is locally available; if not, prompt the user to install it:

# GitHub
npx skills add Wind-Information-Co-Ltd/wind-skills --skill wind-mcp-skill -g -y

# Gitee Mirror (for China)
npx skills add https://gitee.com/wind_info/wind-skills.git --skill wind-mcp-skill -g -y

Skill Positioning

This skill compresses the information you need to focus on for a set of watchlist stocks before market open into a single, quickly scannable briefing in Chinese. The output's focus is not to list all information, but to help the user determine, in the shortest possible time, what to watch first today, why, and what risks to guard against.

Execution Flow

Step 1: Confirm Coverage & Time Window

First, clarify the stock pool, markets to observe, and the time window. If the user does not provide a range, by default only process the stocks explicitly mentioned, and use the window from "the close of the last trading day until the current pre-market session."

Step 2: Organize Overnight Information

For each stock, organize the core changes overnight, prioritizing:

  • Announcements, earnings forecasts, trading halts/resumptions, buybacks, share reductions, major contracts, regulatory updates
  • Industry policies, sector news, unusual movements in overseas comparable stocks
  • ADR, futures, index, or related commodity price linkage signals
  • Known schedules for the day, including earnings releases, shareholder meetings, roadshows, policy meetings, data releases

Merge duplicate information. Do not split the same event into multiple pieces of noise.

Step 3: Identify Variables that Truly Affect Opening Rhythm

From the collected events, filter out the factors most likely to influence today's trading behavior, and judge their impact level:

  • High Priority: Likely to directly affect opening direction, volatility, or capital attention
  • Medium Priority: Requires tracking, but may not change opening judgment
  • Low Priority: Background information only, not part of the core summary

If a piece of information is just emotional noise, a rehash of old news, or weakly related to the stock's main theme, downgrade it.

Step 4: Generate Today's Observation Order

Sort by "Importance + Urgency + Uncertainty" to give the stocks most worth watching today and the reasons. When sorting, focus on:

  • Whether an event catalyst exists
  • Whether it is near a key price level
  • Whether it might gap up and fade, or gap down and reverse
  • Whether it resonates with the current market theme or sector sentiment

Step 5: Formulate Pre-Market Action Tips

For each core stock, give a concise, executable pre-market tip, for example:

  • What signal to watch first at the open to confirm
  • What kind of behavior indicates the expectation is validated
  • What kind of behavior indicates sentiment is overstretched or a rally is fading risk
  • Which stocks should be observed first before jumping to conclusions

Step 6: Integrate into a One-Time Briefing

The final output should be the finished report only. Do not display internal search/retrieval processes, filtering steps, or intermediate draft judgments. The body text should not explain how information was obtained, only present results and judgments.

Output Structure

The final output is recommended to follow this structure:


Watchlist Pre-Market Brief ({YYYY-MM-DD})

I. Today's 3 Most Important Conclusions

  • Conclusion 1: {One-sentence description of the most important change}
  • Conclusion 2: {One-sentence description of the second most important change}
  • Conclusion 3: {One-sentence description of the third most important change}

II. Key Stocks' Pre-Market Highlights

StockOvernight ChangesToday's Focus PointRisk AlertPriority
{Stock A}{One-sentence summary}{What to watch at the open first}{Potential risks}High
{Stock B}{One-sentence summary}{What to watch at the open first}{Potential risks}Medium

III. Today's Event Schedule

TimeEventRelated Stocks/SectorsReason to Watch
{Time}{Event}{Target}{Why it's important}

IV. Pre-Market Action Tips

  • Priority Watchlist: {Stock/Sector}, because {reason}
  • Need Confirmation Before Deciding: {Stock/Sector}, waiting for {signal}
  • Expectation Gap Risk: {Stock/Sector}, risk is in {risk point}

Quality Requirements

  1. All conclusions must revolve around "whether it is worth prioritizing attention today." Avoid writing a broad news digest.
  2. For the same stock, prioritize presenting incremental information. Do not repeat basic introductions.
  3. If a stock has no material change overnight, clearly state "No new material information." Do not force content.
  4. Pre-market judgments should retain a conditional tone. Do not write unopened market states as established facts.
  5. The output should be kept to a density scannable within 3 minutes. Prioritize short sentences and tables.

Individual skills in this repo

This repo contains 19 individual skills — each has its own dedicated page.

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wind-alice/after_close_watchlist_recap_skill

在收盘后总结自选股当日表现、驱动因素、强弱分化与次日观察点。适用于每日收盘复盘、维护自选股观察节奏、为次日盘前准备提供输入等场景。

wind-alice/a-share-primary-theme-identification

用于A股市场主线识别,聚焦市场结构 / 题材周期 / 资金行为。本skill主要用户问题回答、撰写报告、撰写金融类文章等场景。本报告输出内容较多,不适合简单对话场景。各类信息与数据的获取,可以使用wind.financial.data工具,以合理的关键字或关键字组合进行获取。每天开盘后、午盘、收盘后,用户都需要快速知道: 今天市场到底在交易什么,真正的主线是什么,情绪在什么位置,明天应该盯哪里。

wind-alice/avatar-charlie-munger-thinking

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wind-alice/avatar-nassim-taleb-risk

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wind-alice/avatar-naval-ravikant-thinking

使用纳瓦尔·拉维坎特式的重新定义、欲望审计、特定知识和杠杆框架澄清职业、创业、财富、幸福、自由与人生选择。用于识别错误问题、冲突欲望、独特竞争力、AI替代风险、许可依赖、边际成本和长期复利方向。

wind-alice/avatar-warren-buffett-investing

使用沃伦·巴菲特式的能力圈、护城河、管理层诚信、所有者收益和资本配置框架分析企业与长期投资。用于研究公司商业模式、竞争优势、现金质量、管理层、估值、安全边际,或判断一项投资应继续研究、等待还是放弃。

wind-alice/backtest-expert

Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating quantitative trading strategies. Covers "beating ideas to death" methodology, parameter robustness testing, slippage modeling, bias prevention, and interpreting backtest results. Applicable when user asks about backtesting, strategy validation, robustness testing, avoiding overfitting, or systematic trading development.

wind-alice/breakout_candidate_finder_skill

批量识别突破形态成熟、量价结构健康、催化配合较好的候选股,并输出优先级、触发条件与失效边界。适用于短中线选股、盘前候选池整理、板块轮动中筛选领涨预备股等场景。

wind-alice/breakout_trade_execution_skill

围绕突破交易制定从观察、触发、跟进到失效处理的落地执行方案,兼顾量价确认、环境配合与失败撤退。适用于盘前预案、盘中突破跟踪与强势股首日执行场景。

wind-alice/bull_bear_case_builder_skill

同时搭建看多与看空逻辑,比较证据强弱、关键变量与情景路径,帮助识别核心分歧。适用于防止确认偏误、研究前辩论、投资观点校验等场景。

wind-alice/business_model_decoder_skill

把公司如何获客、交付、定价、赚钱和扩张的逻辑拆解清楚,帮助快速理解业务运转方式。适用于看不懂公司业务、研究前补基础、业务结构梳理等场景。

wind-alice/buyback_program_reviewer_skill

判断回购计划的规模、动机、执行约束与真实利好程度。适用于公司宣布回购、估值争议期、资本配置分析等场景。

wind-alice/canslim_growth_scan_skill

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wind-alice/conference_call_takeaway_skill

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wind-alice/dcf-model

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wind-alice/dip_buy_decision_skill

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wind-alice/dividend_change_explainer_skill

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wind-alice/dividend_growth_entry_skill

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