技能版本 1.0.0

catalyst-calendar

Build and maintain a calendar of upcoming catalysts across a coverage universe — earnings dates, conferences, product launches, regulatory decisions, and macro events. Helps prioritize attention and position ahead of events. Triggers on "catalyst calendar", "upcoming events", "what's coming up", "earnings calendar", "event calendar", or "catalyst tracker".

价格

免费

  • 安装:免费

在组织开通时一次性收取;再次读取清单或下载不重复收费。

以上为公开标价。你的组织可能有协议价,以控制台显示的价格为准。

如何使用

  1. 为组织安装

    开通即安装:组织固定使用开通时的版本(当前为 1.0.0)。升级到新版本需要取消后重新开通。

  2. 创建凭证

    客户端使用组织凭证读取;绑定到数字人后,数字人使用绑定凭证按需加载。请求中携带:

    Authorization: Bearer $ZGI_MARKET_KEY

  3. 读取清单与安装包

    清单列出版本、文件和校验值;安装包是一个 zip 文件。

    读取清单
    curl "https://market-api.zgi.im/v1/market/skills/catalyst-calendar/manifest" \
      -H "Authorization: Bearer $ZGI_MARKET_KEY"
    下载安装包
    curl "https://market-api.zgi.im/v1/market/skills/catalyst-calendar/package" \
      -H "Authorization: Bearer $ZGI_MARKET_KEY" \
      -o catalyst-calendar.zip

    读取清单和下载安装包不计入用量。下载后请用响应头中的 SHA-256 校验文件。

技能说明

名称
catalyst-calendar
说明
Build and maintain a calendar of upcoming catalysts across a coverage universe — earnings dates, conferences, product launches, regulatory decisions, and macro events. Helps prioritize attention and position ahead of events. Triggers on "catalyst calendar", "upcoming events", "what's coming up", "earnings calendar", "event calendar", or "catalyst tracker".
仅指令

技能包内没有脚本文件:这个技能是供模型阅读的文本。

SKILL.md 节选

# Catalyst Calendar

## Workflow

### Step 1: Define Coverage Universe

- List of companies to track (tickers or names)
- Sector / industry focus
- Include macro events? (Fed meetings, economic data, regulatory deadlines)
- Time horizon (next 2 weeks, month, quarter)

### Step 2: Gather Catalysts

For each company, identify upcoming events:

**Earnings & Financial Events**
- Quarterly earnings date and time (pre/post market)
- Annual shareholder meeting
- Investor day / analyst day
- Capital markets day
- Debt maturity / refinancing dates

**Corporate Events**
- Product launches or announcements
- FDA approvals / regulatory decisions
- Contract renewals or expirations
- M&A milestones (close dates, regulatory approvals)
- Management transitions
- Insider trading windows (lockup expirations)

**Industry Events**
- Major conferences (dates, which companies presenting)
- Trade shows and expos
- Regulatory comment periods or rulings
- Industry data releases (monthly sales, traffic, etc.)

**Macro Events**
- Fed meetings (FOMC dates)
- Jobs report, CPI, GDP releases
- Central bank decisions (ECB, BOJ, etc.)
- Geopolitical events with market impact

### Step 3: Calendar View

| Date | Event | Company/Sector | Type | Impact (H/M/L) | Our Positioning | Notes |
|------|-------|---------------|------|-----------------|----------------|-------|
| | | | Earnings/Corp/Industry/Macro | | Long/Short/Neutral | |

### Step 4: Weekly Preview

Each week, generate a forward-looking summary:

**This Week's Key Events:**
1. [Day]: [Company] Q[X] earnings — consensus [$X EPS], our estimate [$X], key focus: [metric]
2. [Day]: [Event] — why it matters for [stocks]
3. [Day]: [Macro release] — expectations and positioning

**Next Week Preview:**
- Early heads-up on important events coming

**Position Implications:**
- Events that could move specific positions
- Any pre-positioning recommended
- Risk management ahead of binary events

### Step 5: Output

- Excel workbook with calendar view and sortable columns
- Weekly preview email/note (markdown)
- Optional: integration with Google Calendar

## Important Notes

- Earnings dates shift — verify against company IR pages and Bloomberg/FactSet closer to the date
- Pre-announce risk: track companies with a history of pre-announcing (positive or negative)
- Conference attendance lists are valuable — which companies are presenting and which are conspicuously absent?
- Some catalysts are recurring (monthly industry data) — build a template and auto-populate
- Color-code by impact level: Red = high impact, Yellow = moderate, Green = routine
- Archive past catalysts with the actual outcome — builds pattern recognition over time

技能包内容

共 1 个文件,合计 3.0 KiB

  • SKILL.md3.0 KiB

来源与审核

审核状态
尚未审核,内容来自上游来源
许可证
未说明

审核状态是平台对上架信息的记录,不构成对上游服务质量或可用性的担保。