Earnings Analysis logo

Earnings Analysis

Organization
Wind-Alice
earnings-analysis

Create professional equity research earnings update reports (8-12 pages, 3,000-5,000 words) analyzing quarterly results for companies already under coverage. Fast-turnaround format focusing on beat/miss analysis, key metrics, updated estimates, and revised thesis. Includes 1-3 summary tables and 8-12 charts. Use when user requests "earnings update", "quarterly update", "earnings analysis", "Q1/Q2/Q3/Q4 results", or post-earnings report.

Overview

PublisherWind-Alice
RepositoryAliceMarket
Skill nameearnings-analysis
Stars
147
Forks
18
Bundled files
3
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Wind-Alice on GitHub. Read the source before you install it.

Installation

Install the Earnings Analysis AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Wind-Alice/AliceMarket/tree/main/skills/earnings-analysis
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Wind-Alice/AliceMarket.git /tmp/AliceMarket
mkdir -p .claude/skills
cp -r /tmp/AliceMarket/skills/earnings-analysis .claude/skills/earnings-analysis
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Earnings Analysis in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Earnings Analysis on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Earnings Analysis is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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 only
  • Don't rehash company background extensively

2. Beat/Miss Analysis

  • Lead with whether company beat or missed estimates
  • Quantify variances (e.g., "Revenue beat by $120M or 3%")
  • Explain WHY results differed from expectations

3. Summary Format

  • Keep tables to 1-3 (summary only, not comprehensive)
  • No full P&L/Cash Flow/Balance Sheet (just key metrics)
  • Assume reader has seen initiation report

4. Citations & Source Attribution ⭐⭐⭐ MANDATORY

CRITICAL: Properly cite all data with SPECIFIC sources and CLICKABLE HYPERLINKS.

Include specific citations WITH CLICKABLE LINKS in every figure and table:

Source: Q3 2024 10-Q filed November 8, 2024; Company earnings release
        [Hyperlink "10-Q" to: https://www.sec.gov/cgi-bin/viewer?accession=...]
        [Hyperlink "earnings release" to: https://investor.company.com/news/q3-2024]

HOW HYPERLINKS SHOULD APPEAR IN WORD:

  • Document names appear as blue, underlined clickable links
  • Reader can Ctrl+Click to open source directly
  • Not plain text URLs - formatted hyperlinks with display text

REQUIRED SOURCES LIST:

Cite in every earnings update:

  • ✅ Earnings release (with date and URL)
  • ✅ 10-Q filing (with filing date and EDGAR link)
  • ✅ Earnings call transcript (with date)
  • ✅ Investor presentation/supplemental materials (if available)
  • ✅ Consensus estimates source (Bloomberg/FactSet/etc. with date)
  • ✅ Prior guidance (from previous quarter's materials)

REFERENCE SECTION WITH CLICKABLE HYPERLINKS:

Include "Sources" section at end of report:

SOURCES & REFERENCES

Earnings Materials (Q3 2024):
• Earnings Release (November 7, 2024)
  [Hyperlink entire line to: https://investor.company.com/news/q3-2024-earnings]

• Form 10-Q (Filed November 8, 2024)
  [Hyperlink to: https://www.sec.gov/cgi-bin/viewer?accession=...]

• Earnings Call Transcript (November 7, 2024)
  [Hyperlink to: https://seekingalpha.com/article/...]

• Investor Presentation (November 7, 2024)
  [Hyperlink to: https://investor.company.com/presentations/q3-2024.pdf]

VERIFICATION CHECKLIST:

  • Every figure has source with specific document and date
  • Every table has source with document reference
  • Beat/miss analysis cites consensus source with date
  • Guidance changes cite current and prior guidance sources
  • Key statistics have footnotes
  • Sources section lists all materials with URLs
  • ALL URLs are CLICKABLE HYPERLINKS (not plain text)
  • All SEC filings hyperlinked to EDGAR viewer

5. Updated Estimates

  • Update forward estimates based on results
  • Show old vs. new estimates clearly
  • Explain what changed and why

High-Level Workflow

The earnings update process follows 5 phases:

Phase 1: Data Collection (30-60 minutes)

🚨🚨🚨 CRITICAL: TRAINING DATA IS OUTDATED 🚨🚨🚨

BEFORE STARTING - COMPLETE THESE 4 STEPS IN ORDER:

  1. CHECK TODAY'S DATE - Write down the current date
  2. SEARCH FOR LATEST - Use web search: "[Company] latest earnings results"
  3. VERIFY THE DATE - Confirm earnings release is within last 3 months
  4. CHECK TRANSCRIPT DATE - Verify transcript date matches release date

COMMON MISTAKE: Using outdated earnings calls from training data instead of searching for the latest.

REQUIREMENTS:

  • ✅ Search for latest earnings - do NOT rely on training data
  • ✅ Write down today's date and the release date found
  • ✅ Verify release date is within 3 months of today
  • ✅ Verify transcript date matches release date
  • ✅ If dates don't match or are old (>3 months), search again

See references/workflow.md for detailed search procedures and verification steps.

Phase 2: Analysis (2-3 hours)

  • Beat/miss analysis for each key metric
  • Segment/geographic/product breakdown
  • Margin and guidance analysis
  • Update financial model and estimates

See references/workflow.md for detailed analysis framework.

Phase 3: Chart Generation (1-2 hours)

Create 8-12 charts focusing on quarterly trends and what's new:

  • Quarterly revenue progression
  • Quarterly EPS progression
  • Quarterly margin trends
  • Revenue by segment/geography
  • Key operating metrics
  • Beat/miss summary
  • Estimate revisions
  • Valuation charts

See references/workflow.md for chart specifications.

Phase 4: Report Creation (2-3 hours)

Create 8-12 page DOCX report with specific structure.

See references/report-structure.md for complete page-by-page templates and formatting requirements.

High-level structure:

  • Page 1: Earnings summary with rating and price target
  • Pages 2-3: Detailed results analysis
  • Pages 4-5: Key metrics & guidance
  • Pages 6-7: Updated investment thesis
  • Pages 8-10: Valuation & estimates
  • Pages 11-12: Appendix (optional)

Phase 5: Quality Check & Delivery (30 minutes)

Verify content, formatting, accuracy, and timeliness before delivery.

See references/best-practices.md for quality checklist and common mistakes to avoid.

Output Specification

Primary Deliverable: DOCX report (8-12 pages) File Name: [Company]_Q[Quarter]_[Year]_Earnings_Update.docx Example: Nike_Q2_FY24_Earnings_Update.docx

Contents:

  • Page 1: Summary with rating, price target, key takeaways
  • Pages 2-3: Detailed results analysis
  • Pages 4-5: Key metrics and guidance
  • Pages 6-7: Updated thesis assessment
  • Pages 8-10: Valuation and estimates
  • Pages 11-12: Appendix (optional)
  • 8-12 embedded charts
  • 1-3 summary tables
  • Complete sources section with clickable hyperlinks

Optional Deliverable: XLS model update (optional for earnings updates)

Key Differences from Initiation Report

AspectEarnings UpdateInitiation Report
Length8-12 pages30-50 pages
Words3,000-5,00010,000-15,000
Tables1-3 summary12-20 comprehensive
Figures8-1225-35
Turnaround1-2 days3-6 weeks
ScopeQuarterly resultsComplete company
FocusWhat's NEWEverything
Company BackgroundBrief mention6-10 pages
XLS ModelOptionalRequired

Resources

references/workflow.md

Detailed Phase 1-5 instructions with step-by-step procedures for data collection, analysis, chart generation, and report creation.

references/report-structure.md

Complete page-by-page templates, table formats, and formatting requirements for the DOCX report.

references/best-practices.md

Examples of good/bad headlines, tips for success, common mistakes to avoid, and comprehensive quality checklist.

Dependencies

Required:

  • Python (matplotlib, pandas, seaborn) for chart generation
  • DOCX skill for report creation

Optional:

  • XLS skill for model updates (not required for earnings updates)

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Earnings Analysis AI skill do?

Create professional equity research earnings update reports (8-12 pages, 3,000-5,000 words) analyzing quarterly results for companies already under coverage. Fast-turnaround format focusing on beat/miss analysis, key metrics, updated estimates, and revised thesis. Includes 1-3 summary tables and 8-12 charts. Use when user requests "earnings update", "quarterly update", "earnings analysis", "Q1/Q2/Q3/Q4 results", or post-earnings report.

Why use Earnings Analysis on TypingMind?

Because you install it once and use it with any model. Earnings Analysis is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Earnings Analysis in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Wind-Alice/AliceMarket/tree/main/skills/earnings-analysis. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Earnings Analysis?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Earnings Analysis?

As many as you like. As long as a model supports skills, you can use Earnings Analysis with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Earnings Analysis AI skill free?

It is published on GitHub by Wind-Alice. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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