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Earnings Preview

Generate a structured earnings preview note with consensus estimates, key watchpoints, and scenario analysis ahead of results.

by @anthropics · Apache 2.0 New

What this skill does

Prepare for quarterly reports by generating a structured analysis that includes consensus estimates, key metrics to watch, and scenario planning. You will receive a one-page briefing outlining bull, base, and bear scenarios along with the specific catalysts likely to move the stock. Reach for this before any company announces results to clarify what matters most for the stock's reaction.

Anthropic · Equity Research
view on github ↗

Earnings Preview

description: 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]”.

Workflow

Step 1: Gather Context

  • Identify the company and reporting quarter
  • Pull consensus estimates via web search (revenue, EPS, key segment metrics)
  • Find the earnings date and time (pre-market vs. after-hours)
  • Review the company’s prior quarter earnings call for any guidance or commentary

Step 2: Key Metrics Framework

Build a “what to watch” framework specific to the company:

Financial Metrics:

  • Revenue vs. consensus (total and by segment)
  • EPS vs. consensus
  • Margins (gross, operating, net) — expanding or contracting?
  • Free cash flow
  • Forward guidance vs. consensus

Operational Metrics (sector-specific):

  • Tech/SaaS: ARR, net retention, RPO, customer count
  • Retail: Same-store sales, traffic, basket size
  • Industrials: Backlog, book-to-bill, price vs. volume
  • Financials: NIM, credit quality, loan growth, fee income
  • Healthcare: Scripts, patient volumes, pipeline updates

Step 3: Scenario Analysis

Build 3 scenarios with stock price implications:

ScenarioRevenueEPSKey DriverStock Reaction
Bull
Base
Bear

For each scenario:

  • What would need to happen operationally
  • What management commentary would signal this
  • Historical context — how has the stock moved on similar prints?

Step 4: Catalyst Checklist

Identify the 3-5 things that will determine the stock’s reaction:

  1. [Metric] vs. [consensus/whisper number] — why it matters
  2. [Guidance item] — what the buy-side expects to hear
  3. [Narrative shift] — any strategic changes, M&A, restructuring

Step 5: Output

One-page earnings preview with:

  • Company, quarter, earnings date
  • Consensus estimates table
  • Key metrics to watch (ranked by importance)
  • Bull/base/bear scenario table
  • Catalyst checklist
  • Trading setup: recent stock performance, implied move from options

Important Notes

  • Consensus estimates change — always note the source and date of estimates
  • “Whisper numbers” from buy-side surveys are often more relevant than published consensus
  • Historical earnings reactions help calibrate expectations (search for “[company] earnings reaction history”)
  • Options-implied move tells you what the market expects — compare to your scenarios

Install this Skill

Skills give your AI agent a consistent, structured approach to this task — better output than a one-off prompt.

npx skills add anthropics/financial-services-plugins --skill equity-research
Download ZIP

Official Anthropic skill. Need a walkthrough? See the install guide →

Works with

No terminal needed — Claude.ai works by pasting the skill into custom instructions.

Details

License
Apache 2.0
Source file
show path equity-research/skills/earnings-preview/SKILL.md
finance equity-research earnings financial-services-plugins