Agent skill · marketing growth · anthropics

earnings-preview

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]".

Why this skill is useful

Provides a structured framework for pre-earnings analysis that includes specific metrics and scenario modeling not commonly found in generic resources.

What it needs

About 2k tokens when loaded. Last updated 2026-08-04. 34,059 stars on the source repository.

What this skill does

Earnings Preview 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: Scenario Revenue EPS Key Driver Stock 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. …

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills anthropics/earnings-preview--3ca841

View the source on GitHub

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