staskh/trading_skills

earnings-calendar

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.

First seen Mar 1, 2026

Installation

$ npx skills add staskh/trading_skills --skill earnings-calendar

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
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Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 362
License LICENSE
Default branch main
Open issues 15
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,657 B
  • docs SUMMARY.md 211 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 77 installs

SKILL.md

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/NewYork timezone. All JSON output must include generatedat (NY time string) and data_delay fields.