Build pre-earnings analysis with estimate models, scenario frameworks, and key metrics to watch. Use before a company reports quarterly earnings to prepare positioning notes, set up bull/bear scenarios, and identify what will move the stock. Triggers on "earnings preview", "what to watch for [company] earnings", "pre-earnings", "earnings setup", or "preview Q[X] for [company]".
Copy the install command and let the AI configure it · recommended for beginners
Please install the "earnings-preview" skill from askskill: 1. Download https://raw.githubusercontent.com/anthropics/financial-services/main/plugins/agent-plugins/earnings-reviewer/skills/earnings-preview/SKILL.md 2. Save it as ~/.claude/skills/earnings-preview/SKILL.md 3. Reload skills and tell me it's ready
Build a "what to watch" framework specific to the company:
Financial Metrics:
Operational Metrics (sector-specific):
Build 3 scenarios with stock price implications:
| Scenario | Revenue | EPS | Key Driver | Stock Reaction |
|---|---|---|---|---|
| Bull | ||||
| Base | ||||
| Bear |
For each scenario:
Identify the 3-5 things that will determine the stock's reaction:
One-page earnings preview with:
Screen inbound deal materials and generate a one-page memo.
Evaluate FX carry trades with forwards, volatility, and historical data.
Analyze portfolio company financials, flag variances, and produce board-ready summaries.
Build M&A accretion dilution models with pro forma EPS and sensitivity analysis.
Build quick IRR and MOIC sensitivity tables for PE deal evaluation.
Find target companies, check prior relationships, and draft founder outreach emails.