Skills for Real Engineers. Straight from my .agents directory.
earnings-recap
Agent skill fromhimself65/finance-skills
Analyze a company's most recent (or a specified past) earnings report from Yahoo Finance data (yfinance): actual vs estimated EPS, surprise size, revenue and margin trends, and the stock's price reaction. Use this skill whenever the user asks how earnings went — beat or miss, earnings surprise, quarterly results, the post-earnings move, or an earnings call recap — including casual references to a past report such as "AMZN reported last night" or "how did they do". For an upcoming report, use earnings-preview.
How to install earnings-recap
npx skills add himself65/finance-skills# or add only this skill to Claude Code: copy the folder
plugins/market-analysis/skills/earnings-recap/
# into
~/.claude/skills/earnings-recap/ (all projects)
.claude/skills/earnings-recap/ (one project)
1# Earnings Recap Skill23If your host has not already executed the shell probes below (for example, in Codex), run the commands inside the `!` wrappers with its shell tool before choosing a setup path. Use the actual output; if shell access is unavailable, report that limitation.45Generates a post-earnings analysis using Yahoo Finance data via [yfinance](https://github.com/ranaroussi/yfinance). Covers the actual vs estimated numbers, surprise magnitude, stock price reaction, and financial context — a complete picture of what happened.67**Important**: Data is for research and educational purposes only. Not financial advice. yfinance is not affiliated with Yahoo, Inc.89---1011## Step 1: Ensure yfinance Is Available1213**Current environment status:**1415```16!`python3 -c "exec('try:\n import yfinance\n print(\'yfinance \' + yfinance.__version__ + \' installed\')\nexcept Exception:\n print(\'YFINANCE_NOT_INSTALLED\')')"`17```1819If `YFINANCE_NOT_INSTALLED`, install it:2021```python22import subprocess, sys23subprocess.check_call([sys.executable, "-m", "pip", "install", "-q", "yfinance"])24```2526If already installed, skip to the next step.2728---2930## Step 2: Identify the Ticker and Gather Data3132Extract the ticker from the user's request. Fetch all relevant post-earnings data in one script.3334```python35import yfinance as yf36import pandas as pd3738ticker = yf.Ticker("AAPL") # replace with actual ticker3940# --- Earnings results ---41…
Excerpt shown under the repository's MIT license.
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