Agent Skills › staskh/trading_skills › earnings-calendar

earnings-calendar

GitHub

获取股票 upcoming 财报日期、交易时段及 EPS 预估。支持单个或多个代码查询，按日期排序输出，适用于评估持仓风险、规划交易及构建观察列表。

.claude/skills/earnings-calendar/SKILL.md staskh/trading_skills

触发场景

查询某公司或股票的下次财报发布日期查看财报日历或 earnings calendar 询问特定股票何时发布财报检查投资组合的财报风险

安装

npx skills add staskh/trading_skills --skill earnings-calendar -g -y

更多选项

非标准路径

npx skills add https://github.com/staskh/trading_skills/tree/main/.claude/skills/earnings-calendar -g -y

不安装直接使用

npx skills use staskh/trading_skills@earnings-calendar

指定 Agent (Claude Code)

npx skills add staskh/trading_skills --skill earnings-calendar -a claude-code -g -y

安装 repo 全部 skill

npx skills add staskh/trading_skills --all -g -y

预览 repo 内 skill

npx skills add staskh/trading_skills --list

SKILL.md

Frontmatter

{
    "name": "earnings-calendar",
    "description": "Get upcoming earnings dates with timing (before\/after market) and EPS estimates. Use when user asks about earnings dates, earnings calendar, when a company reports, or upcoming earnings.",
    "dependencies": [
        "trading-skills"
    ]
}

Earnings Calendar

Retrieve upcoming earnings dates for stocks.

Instructions

Note: If uv is not installed or pyproject.toml is not found, replace uv run python with python in all commands below.

uv run python scripts/earnings.py SYMBOLS

Arguments

SYMBOLS - Ticker symbol or comma-separated list (e.g., AAPL or AAPL,MSFT,GOOGL,NVDA)

Output

Single symbol returns:

symbol - Ticker symbol
earnings_date - Next earnings date (YYYY-MM-DD)
timing - "BMO" (Before Market Open), "AMC" (After Market Close), or null
eps_estimate - Consensus EPS estimate, or null if unavailable

Multiple symbols returns:

results - Array of earnings info, sorted by date (soonest first)

Examples

# Single symbol
uv run python scripts/earnings.py NVDA

# Multiple symbols (sorted by date)
uv run python scripts/earnings.py AAPL,MSFT,GOOGL,NVDA,META

# Portfolio earnings calendar
uv run python scripts/earnings.py CAT,GOOG,HOOD,IWM,NVDA,PLTR,QQQ,UNH

Use Cases

Check when positions have upcoming earnings risk
Plan trades around earnings announcements
Build an earnings calendar for watchlist

Dependencies

pandas
yfinance

Timezone

All timestamps and time-based calculations must use the America/New_York timezone. All JSON output must include generated_at (NY time string) and data_delay fields.