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SKILL.md

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

install earnings-recap
# install the finance-skills pack with the skills CLI
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)

plugins/market-analysis/skills/earnings-recap/SKILL.md

MITFull file
1# Earnings Recap Skill
2
3If 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.
4
5Generates 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.
6
7**Important**: Data is for research and educational purposes only. Not financial advice. yfinance is not affiliated with Yahoo, Inc.
8
9---
10
11## Step 1: Ensure yfinance Is Available
12
13**Current environment status:**
14
15```
16!`python3 -c "exec('try:\n import yfinance\n print(\'yfinance \' + yfinance.__version__ + \' installed\')\nexcept Exception:\n print(\'YFINANCE_NOT_INSTALLED\')')"`
17```
18
19If `YFINANCE_NOT_INSTALLED`, install it:
20
21```python
22import subprocess, sys
23subprocess.check_call([sys.executable, "-m", "pip", "install", "-q", "yfinance"])
24```
25
26If already installed, skip to the next step.
27
28---
29
30## Step 2: Identify the Ticker and Gather Data
31
32Extract the ticker from the user's request. Fetch all relevant post-earnings data in one script.
33
34```python
35import yfinance as yf
36import pandas as pd
37
38ticker = yf.Ticker("AAPL") # replace with actual ticker
39
40# --- Earnings results ---
41…

Excerpt shown under the repository's MIT license.

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