equity-research#

Equity research tools: earnings analysis, initiating coverage reports, and research workflows

来源#

来自 Anthropic 官方 financial-services 仓库的 equity-research 插件。 原始仓库: https://github.com/anthropics/financial-services

可用命令 (Commands)#

catalysts#

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description: View or update the catalyst calendar argument-hint: "[timeframe, e.g. 'next 2 weeks']"#

Load the catalyst-calendar skill to build or review upcoming catalysts across the coverage universe.

If a timeframe is provided, use it. Otherwise default to the next 2 weeks.

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Earnings Analysis Command#

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description: Analyze quarterly earnings and create an earnings update report argument-hint: "[company name or ticker] [quarter, e.g. Q3 2024]"#

Earnings Analysis Command#

Create a professional equity research earnings update report analyzing quarterly results.

Workflow#

Step 1: Gather Information#

Parse the input for:

• Company name or ticker
• Quarter (e.g., Q3 2024, Q2 FY25)

If not provided, ask:

• "What company's earnings would you like to analyze?"
• "Which quarter? (e.g., Q3 2024)"

Step 2: Verify Timeliness#

CRITICAL: Before proceeding, verify you have the latest data:

1. Search for "[Company] latest earnings results [current year]"
2. Verify the earnings release is within the last 3 months
3. Confirm transcript date matches release date

If data is stale, inform the user and search for the latest.

Step 3: Load Earnings Analysis Skill#

Use skill: "earnings-analysis" to create the report:

1. Data Collection (search for latest):
   • Earnings release (press release)
   • 10-Q filing from SEC EDGAR
   • Earnings call transcript
   • Investor presentation/supplemental materials
   • Consensus estimates (Bloomberg/FactSet)
2. Beat/Miss Analysis:
   • Revenue vs consensus: Beat/Miss by $X or X%
   • EPS vs consensus: Beat/Miss by $X or X%
   • Key segment performance vs expectations
   • Explain WHY results differed
3. Key Metrics Analysis:
   • Revenue breakdown by segment/geography
   • Margin trends (gross, operating, net)

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earnings-preview#

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description: Build a pre-earnings preview with scenarios argument-hint: "[company ticker]"#

Load the earnings-preview skill and build a pre-earnings analysis with consensus estimates, key metrics to watch, and bull/base/bear scenarios.

If a ticker is provided, use it. Otherwise ask the user which company is reporting.

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initiate#

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description: Create an initiating coverage report argument-hint: "[company ticker]"#

Load the initiating-coverage skill and begin the 5-task workflow to create an institutional-quality initiation report.

If a ticker is provided, use it. Otherwise ask the user which company to initiate on.

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model-update#

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description: Update a financial model with new data argument-hint: "[company ticker]"#

Load the model-update skill and plug in new earnings, guidance, or revised assumptions.

If a ticker is provided, use it. Otherwise ask the user which model to update and what changed.

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morning-note#

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description: Draft a morning meeting note argument-hint: ""#

Load the morning-note skill and draft a concise morning note covering overnight developments, earnings reactions, and trade ideas across the coverage universe.

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screen#

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description: Run a stock screen or generate investment ideas argument-hint: "[screen criteria, e.g. 'undervalued midcap tech']"#

Load the idea-generation skill and run quantitative screens or thematic sweeps to surface new investment ideas.

If criteria are provided, use them. Otherwise ask the user what they're looking for (long/short, sector, style, theme).

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sector#

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description: Create a sector overview report argument-hint: "[sector or industry]"#

Load the sector-overview skill and create an industry landscape report covering market sizing, competitive dynamics, and investment implications.

If a sector is provided, use it. Otherwise ask the user which industry to cover.

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thesis#

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description: Create or update an investment thesis argument-hint: "[company ticker]"#

Load the thesis-tracker skill to create a new thesis or update an existing one with new data points.

If a ticker is provided, use it. Otherwise ask the user which position to review.

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底层技能 (Skills)#

catalyst-calendar#

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name: catalyst-calendar description: Build and maintain a calendar of upcoming catalysts across a coverage universe — earnings dates, conferences, product launches, regulatory decisions, and macro events. Helps prioritize attention and position ahead of events. Triggers on "catalyst calendar", "upcoming events", "what's coming up", "earnings calendar", "event calendar", or "catalyst tracker".#

Catalyst Calendar#

Workflow#

Step 1: Define Coverage Universe#

• List of companies to track (tickers or names)
• Sector / industry focus
• Include macro events? (Fed meetings, economic data, regulatory deadlines)
• Time horizon (next 2 weeks, month, quarter)

Step 2: Gather Catalysts#

For each company, identify upcoming events:

Earnings & Financial Events

• Quarterly earnings date and time (pre/post market)
• Annual shareholder meeting
• Investor day / analyst day
• Capital markets day
• Debt maturity / refinancing dates

Corporate Events

• Product launches or announcements
• FDA approvals / regulatory decisions
• Contract renewals or expirations
• M&A milestones (close dates, regulatory approvals)
• Management transitions
• Insider trading windows (lockup expirations)

Industry Events

• Major conferences (dates, which companies presenting)
• Trade shows and expos
• Regulatory comment periods or rulings
• Industry data releases (monthly sales, traffic, etc.)

Macro Events

• Fed meetings (FOMC dates)
• Jobs report, CPI, GDP releases
• Central bank decisions (ECB, BOJ, etc.)
• Geopolitical events with market impact

Step 3: Calendar View#

DateEventCompany/SectorTypeImpact (H/M/L)Our PositioningNotesEarnings/Corp/Industry/MacroLong/Short/Neutral

Step 4: Weekly Preview#

Each week, generate a forward-looking summary:

This Week's Key Events:

1. [Day]: [Company] Q[X] earnings — consensus [$X EPS], our estimate [

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earnings-analysis#

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name: earnings-analysis description: 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.#

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 compreh

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earnings-preview#

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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:

ScenarioRevenueEPSKey DriverStock ReactionBullBaseBear

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 expec

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idea-generation#

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name: idea-generation description: Systematic stock screening and investment idea sourcing. Combines quantitative screens, thematic research, and pattern recognition to surface new long and short ideas. Use when looking for new ideas, running screens, or conducting thematic sweeps. Triggers on "idea generation", "stock screen", "find ideas", "what looks interesting", "screen for", "new ideas", or "pitch me something".#

Idea Generation#

Workflow#

Step 1: Define Search Criteria#

Ask the user for parameters:

• Direction: Long ideas, short ideas, or both
• Market cap: Large, mid, small, micro
• Sector: Specific sector or cross-sector
• Style: Value, growth, quality, special situation, event-driven
• Geography: US, international, global
• Theme: Any specific thematic angle (AI, reshoring, aging demographics, etc.)

Step 2: Quantitative Screens#

Run screens based on the style:

Value Screen

• P/E below sector median
• EV/EBITDA below historical average
• Free cash flow yield >5%
• Price/book below 1.5x
• Insider buying in last 90 days
• Dividend yield above market average

Growth Screen

• Revenue growth >15% YoY
• Earnings growth >20% YoY
• Revenue acceleration (growth rate increasing)
• Expanding margins
• High return on invested capital (>15%)
• Strong net retention (>110% for SaaS)

Quality Screen

• Consistent revenue growth (5+ years)
• Stable or expanding margins
• ROE >15%
• Low debt/equity
• High free cash flow conversion
• Insider ownership >5%

Short Screen

• Declining revenue or decelerating growth
• Margin compression
• Rising receivables / inventory vs. sales
• Insider selling
• Valuation premium to peers without justification
• High short interest with deteriorating fundamentals
• Accounting red flags (auditor changes, restatements)

Special Situation Screen

• Recent IPOs / SPACs with lockup expirations
• Spin-offs in last 12 months
• Companies emerging from restructuring
• Activist involvement

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initiating-coverage#

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name: initiating-coverage description: Create institutional-quality equity research initiation reports through a 5-task workflow. Tasks must be executed individually with verified prerequisites - (1) company research, (2) financial modeling, (3) valuation analysis, (4) chart generation, (5) final report assembly. Each task produces specific deliverables (markdown docs, Excel models, charts, or DOCX reports). Tasks 3-5 have dependencies on earlier tasks.#

Initiating Coverage#

Create institutional-quality equity research initiation reports through a structured 5-task workflow. Each task must be executed separately with verified inputs.

Overview#

This skill produces comprehensive first-time coverage reports following institutional standards (JPMorgan, Goldman Sachs, Morgan Stanley format). Tasks are executed individually, each verifying prerequisites before proceeding.

Default Font: Times New Roman throughout all documents (unless user specifies otherwise).

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⚠️ CRITICAL: One Task at a Time#

THIS SKILL OPERATES IN SINGLE-TASK MODE ONLY.

If User Requests Full Pipeline#

When user requests:

• "Create a coverage initiation report for [Company]"
• "Write an initiation report for [Company]"
• "Do the entire equity research process for [Company]"
• "Complete all 5 tasks for [Company]"
• Any request that implies running multiple tasks or the entire workflow

REQUIRED RESPONSE:

1. Ask which specific task to perform: text

   I can help you create an equity research initiation report for [Company].
   This involves 5 separate tasks that need to be completed individually:
   
   

2. Company Research - Research business, management, industry

3. Financial Modeling - Build projection model

4. Valuation Analysis - DCF and comparable companies

5. Chart Generation - Create 25-35 charts

6. Report Assembly - Compile final report

Which task would you like to start with?

2. \* _When user explicitly requests all tasks together:_


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### model-update

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## name: model-update description: Update financial models with new data — quarterly earnings, management guidance, macro changes, or revised assumptions. Adjusts estimates, recalculates valuation, and flags material changes. Use after earnings, guidance updates, or when assumptions need refreshing. Triggers on "update model", "plug earnings", "refresh estimates", "update numbers for \[company\]", "new guidance", or "revise estimates".

# Model Update

## Workflow

### Step 1: Identify What Changed

Determine the update trigger:

- **Earnings release**: New quarterly actuals to plug in
- **Guidance change**: Company updated forward outlook
- **Estimate revision**: Analyst changing assumptions based on new data
- **Macro update**: Interest rates, FX, commodity prices changed
- **Event-driven**: M&A, restructuring, new product, management change

### Step 2: Plug New Data

#### After Earnings

Update the model with reported actuals:

Line ItemPrior EstimateActualDeltaNotesRevenueGross MarginOperating ExpensesEBITDAEPS\[Key metric 1\]\[Key metric 2\]

**Segment Detail** (if applicable):

- Update each segment's revenue and margin
- Note any segment mix shifts

**Balance Sheet / Cash Flow Updates**:

- Cash and debt balances
- Share count (buybacks, dilution)
- Capex actual vs. estimate
- Working capital changes

### Step 3: Revise Forward Estimates

Based on the new data, adjust forward estimates:

Old FY EstNew FY EstChangeOld Next FYNew Next FYChangeRevenueEBITDAEPS

**Key Assumption Changes:**

- What assumptions are you changing and why?
- Revenue growth rate: old → new (reason)
- Margin assumption: old → new (reason)
- Any new items (restructuring charges, one-time ga

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### morning-note

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## name: morning-note description: Draft concise morning meeting notes summarizing overnight developments, trade ideas, and key events for coverage stocks. Designed for the 7am morning meeting format — tight, opinionated, actionable. Triggers on "morning note", "morning meeting", "what happened overnight", "trade idea", "morning call prep", or "daily note".

# Morning Note

## Workflow

### Step 1: Overnight Developments

Scan for relevant events across coverage universe:

**Earnings & Guidance**

- Any coverage companies reporting overnight or pre-market?
- Earnings surprises (beat/miss on revenue, EPS, key metrics)
- Guidance changes (raised, lowered, maintained)

**News & Events**

- M&A announcements or rumors
- Management changes
- Product launches or regulatory decisions
- Analyst upgrades/downgrades from competitors
- Macro data or policy changes affecting the sector

**Market Context**

- Overnight futures / pre-market moves
- Sector ETF performance
- Relevant commodity or currency moves
- Key economic data releases today

### Step 2: Morning Note Format

Keep it tight — a morning note should be readable in 2 minutes:

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**\[Date\] Morning Note — \[Analyst Name\]** **\[Sector Coverage\]**

**Top Call: \[Headline — the one thing PMs need to hear\]**

- 2-3 sentences on the key development and why it matters
- Stock impact: price target, rating reiteration/change

**Overnight/Pre-Market Developments**

- \[Company A\]: One-line summary of earnings/news + our take
- \[Company B\]: One-line summary + our take
- \[Sector/Macro\]: Relevant sector-wide development

**Key Events Today**

- \[Time\]: \[Company\] earnings call
- \[Time\]: Economic data release (expectations vs. our view)
- \[Time\]: Conference or investor day

**Trade Ideas** (if any)

- \[Long/Short\] \[Company\]: 1-2 sentence thesis + catalyst
- Risk: What would make this wrong

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### Step 3: Quick Takes on Earnings

If a coverage company reported, provide a quick reaction:

\| Metric \| Consensus \| Actual \| Beat/Miss \|
\|-

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### sector-overview

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## name: sector-overview description: Create comprehensive industry and sector landscape reports covering market dynamics, competitive positioning, key players, and thematic trends. Use for client requests, sector initiations, thematic research pieces, or internal knowledge building. Triggers on "sector overview", "industry report", "market landscape", "sector analysis", "industry deep dive", or "thematic research".

# Sector Overview

## Workflow

### Step 1: Define Scope

- **Sector / subsector**: What industry and how narrowly defined?
- **Purpose**: Client report, internal research, pitch material, idea generation
- **Depth**: High-level overview (5-10 pages) or deep dive (20-30 pages)
- **Angle**: Neutral landscape vs. thematic thesis (e.g., "AI infrastructure buildout")
- **Universe**: Public companies only, or include private?

### Step 2: Market Overview

**Market Size & Growth**

- Total addressable market (TAM) with source
- Historical growth rate (5-year CAGR)
- Forecast growth rate and key assumptions
- Market segmentation (by product, geography, end market, customer type)

**Industry Structure**

- Fragmented vs. consolidated — top 5 market share
- Value chain map — where does value accrue?
- Business model types (subscription, transaction, licensing, services)
- Barriers to entry (capital, regulatory, technical, network effects)

**Key Trends & Drivers**

- Secular tailwinds (3-5 major trends)
- Headwinds and risks
- Technology disruption vectors
- Regulatory developments
- M&A activity and consolidation trends

### Step 3: Competitive Landscape

**Company Profiles** (for top 5-10 players):

CompanyRevenueGrowthEBITDA MarginMarket ShareKey Differentiator

For each company, brief profile:

- Business description (2-3 sentences)
- Strategic positioning and moat
- Recent developments (earnings, M&A, product launches)
- Valuation snapshot (P/E,

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### thesis-tracker

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## name: thesis-tracker description: Maintain and update investment theses for portfolio positions and watchlist names. Track key data points, catalysts, and thesis milestones over time. Use when updating a thesis with new information, reviewing position rationale, or checking if a thesis is still intact. Triggers on "update thesis for \[company\]", "is my thesis still intact", "thesis check", "add data point to \[company\]", or "review my positions".

# Thesis Tracker

## Workflow

### Step 1: Define or Load Thesis

If creating a new thesis:

- **Company**: Name and ticker
- **Position**: Long or Short
- **Thesis statement**: 1-2 sentence core thesis (e.g., "Long ACME — margin expansion from pricing power + operating leverage as mix shifts to software")
- **Key pillars**: 3-5 supporting arguments
- **Key risks**: 3-5 risks that would invalidate the thesis
- **Catalysts**: Upcoming events that could prove/disprove the thesis (earnings, product launches, regulatory decisions)
- **Target price / valuation**: What's it worth if the thesis plays out
- **Stop-loss trigger**: What would make you exit

If updating an existing thesis, ask the user for the new data point or development.

### Step 2: Update Log

For each new data point or development:

- **Date**: When this happened
- **Data point**: What changed (earnings beat, management departure, competitor move, etc.)
- **Thesis impact**: Does this strengthen, weaken, or neutralize a specific pillar?
- **Action**: No change / Increase position / Trim / Exit
- **Updated conviction**: High / Medium / Low

### Step 3: Thesis Scorecard

Maintain a running scorecard:

PillarOriginal ExpectationCurrent StatusTrendRevenue growth >20%On trackQ3 was 22%StableMargin expansionBehindMargins flat YoYConcerningNew product launchPendingDelayed to Q2Watch

### Step 4: Catalyst Calendar

Track upcoming catalysts:

\| Date \| Eve

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