earnings-analysis
Post-earnings analysis report: beat/miss breakdown, estimate revisions, thesis impact, charts
npx skills add ginlix-ai/LangAlpha --skill earnings-analysis --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Equity Research Earnings Update Create professional **EARNINGS UPDATE REPORTS** analyzing quarterly results for companies already under coverage, following institutional standards (JPMorgan, Goldman Sachs, Morgan Stanley format). **Key Characteristics:** - **Length**: 8-12 pages - **Word Count**: 3,000-5,000 words - **Tables**: 1-3 summary tables (NOT comprehensive) - **Figures**: 8-12 charts - **Turnaround**: 1-2 days (within 24-48 hours of earnings) - **Audience**: Clients already familiar with the company - **Focus**: What's NEW - beat/miss, updated estimates, thesis impact - **Font**: Times New Roman throughout (unless user specifies otherwise) ## When to Use Use when the user requests: - "Create an earnings update for [Company] Q3 2024" - "Analyze [Company]'s quarterly results" - "Post-earnings report for [Company]" - "Q1/Q2/Q3/Q4 update for [Company]" **Do NOT use if:** - User requests "initiation report" → Use different skill - User requests "flash note" or "quick take" → Different format - Company is not already covered → Need initiation first ## Critical Requirements ### 1. Speed & Timeliness - Publish within 24-48 hours of earnings release - Focus on NEW information onl
- When to Use
- Critical Requirements
- 1. Speed & Timeliness
- 2. Beat/Miss Analysis
- 3. Summary Format
- 4. Citations & Source Attribution ⭐⭐⭐ MANDATORY
- 5. Updated Estimates
- High-Level Workflow
- Phase 1: Data Collection (30-60 minutes)
- Phase 2: Analysis (2-3 hours)
- Phase 3: Chart Generation (1-2 hours)
- Phase 4: Report Creation (2-3 hours)
- Phase 5: Quality Check & Delivery (30 minutes)
- Output Specification
What does the earnings-analysis skill do?
Post-earnings analysis report: beat/miss breakdown, estimate revisions, thesis impact, charts
How do I install it?
Run `npx skills add ginlix-ai/LangAlpha --skill earnings-analysis --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ginlix-ai/LangAlpha, a repository with 1,604 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.