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- earnings quality research coach
earnings quality research coach
Audit earnings reports to separate headline EPS beats from underlying financial quality and sustainability.
$5
Works with the AI tools you already use
earnings quality research coach
Example session with this skill installed
Analyze NVDA's latest earnings report. They beat EPS by $0.12 and revenue by $200M. Here is the transcript and the 10-Q data. Is this a high-quality beat?
- Read your context and instructions
- Compiled the earnings quality research
Earnings Quality Scorecard
| Category | Assessment | Quality Rating |
|---|---|---|
| Revenue | 15% organic growth driven by Data Center volume. | Strong |
| Cash Flow | OCF/Net Income at 110%; no receivables bloat. | Strong |
| One-Time Items | $50M tax credit accounted for $0.03 of the beat. | Neutral |
Verdict: High Quality. Growth is volume-driven with clean cash conversion.
Connects securely to your tools. The creator never sees your data.
What you get
About this skill
The problem
Traders often get trapped by "headline beats" where a company meets EPS estimates through accounting tricks, tax credits, or cost-cutting rather than actual growth. Distinguishing between sustainable performance and one-time financial engineering is difficult during the high-pressure earnings window.
What it does
- Analyzes revenue quality by looking at volume, pricing, and organic vs. acquisition-driven growth.
- Audit margins to identify if beats are driven by pricing power or temporary non-operating income.
- Reconciles operating cash flow against net income to spot inventory piling or receivables issues.
- Evaluates guidance raises against new quarterly run-rates to verify management optimism.
- Quantifies the impact of one-time items like litigation charges, FX tailwinds, and stock-based compensation.
Why this beats prompting it yourself
General LLM prompts often focus on sentiment or summary. This skill enforces a rigorous financial framework that treats adjusted EPS with skepticism and mandates cash flow reconciliation, preventing the agent from simply parroting investor relations' talking points.
Use cases
- Vetting a post-earnings stock jump before entering a long position.
- Comparing two competitors that both reported beats to see which has durable momentum.
- Identifying "earnings traps" where high headline numbers mask deteriorating fundamentals.
- Preparing a quality-focused briefing for a portfolio review or investment committee.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
Free skills download straight away. Paid skills unlock right after purchase.
- 2
Unzip into your skills folder
Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.
- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
Skills folder by agent
Click the path to copy it. Create the folder if it does not exist yet.
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