Agent Skillsanthropics/financial-services › earnings-preview

earnings-preview

GitHub

构建财报前分析,整合预估模型、情景框架及关键指标,为持仓笔记和牛熊情景做准备,识别驱动股价变动的核心因素。

plugins/agent-plugins/earnings-reviewer/skills/earnings-preview/SKILL.md anthropics/financial-services

Trigger Scenarios

earnings preview what to watch for [company] earnings pre-earnings earnings setup preview Q[X] for [company]

Install

npx skills add anthropics/financial-services --skill earnings-preview -g -y
More Options

Non-standard path

npx skills add https://github.com/anthropics/financial-services/tree/main/plugins/agent-plugins/earnings-reviewer/skills/earnings-preview -g -y

Use without installing

npx skills use anthropics/financial-services@earnings-preview

指定 Agent (Claude Code)

npx skills add anthropics/financial-services --skill earnings-preview -a claude-code -g -y

安装 repo 全部 skill

npx skills add anthropics/financial-services --all -g -y

预览 repo 内 skill

npx skills add anthropics/financial-services --list

SKILL.md

Frontmatter
{
    "name": "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]\"."
}

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. [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

Version History

  • 3865222 Current 2026-08-20 07:51

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Metadata

Files
0
Version
3865222
Hash
a30d383a
Indexed
2026-08-20 07:51

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