Loading skill
Install any skill in seconds. Free to start, no credit card required.
Get Started Free →staskh/earnings-calendar
Get upcoming earnings dates with timing (before/after market) and EPS estimates.
3 of 22 test cases passed with the skill.
Tokens, turns and time describe resource use, not a dollar price.
Lift withheld: 3 comparable cases; this report requires 8.
One of 2 test cases the skill fixed. Same model, same prompt, with and without the skill.
If a small cap stock like XYZ does not have a consensus EPS forecast published, how is that represented in the report output?
| Checked | Without skill | With skill |
|---|---|---|
| Sets eps_estimate to null when consensus data is unavailable | Missed | Passed |
The instructions your model reads when the skill loads.
Retrieve upcoming earnings dates for stocks.
Note: If
uvis not installed orpyproject.tomlis not found, replaceuv run pythonwithpythonin all commands below.
uv run python scripts/earnings.py SYMBOLS
SYMBOLS - Ticker symbol or comma-separated list (e.g., AAPL or AAPL,MSFT,GOOGL,NVDA)Single symbol returns:
symbol - Ticker symbolearnings_date - Next earnings date (YYYY-MM-DD)timing - "BMO" (Before Market Open), "AMC" (After Market Close), or nulleps_estimate - Consensus EPS estimate, or null if unavailableMultiple symbols returns:
results - Array of earnings info, sorted by date (soonest first)# 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
test cases passed with the skill
More skills from the same source and nearby in the registry, with their headline benchmark lift.