d-wwei/openclaw-financial-services · Archived

fsi-er-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]".

First seen Jun 21, 2026

Installation

$ npx skills add d-wwei/openclaw-financial-services --skill fsi-er-earnings-preview

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 15
License LICENSE
Default branch main
Open issues 0
Status Archived

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,782 B
  • docs SUMMARY.md 411 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 1 installs

SKILL.md

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