# Investment Memo Generation

> Generates structured investment memos with thesis framing, financial analysis, risk assessment, and catalyst identification. Use when the user asks for an "investment memo", "investment thesis", or "comprehensive company analysis". Requires multi-tool orchestration across SEC data, analyst estimates, and qualitative research.

- Skill: `snowflake-labs/investment-memo-generation` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add snowflake-labs/investment-memo-generation`
- Raw SKILL.md: https://api.skillmd.com/api/skills/snowflake-labs/investment-memo-generation/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Research & Search
- Author: snowflake-labs (https://skillmd.com/u/snowflake-labs)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/snowflake-labs/investment-memo-generation

---


# Investment Memo Generation

## When to Activate

Trigger when user asks: "investment memo", "investment thesis", "comprehensive analysis of [company]", "research overview of [company]", "IC memo", "build a case for [company]", "write up [company]"

## Memo Structure (7 Sections)

1. **THESIS FRAMING**: Core investment question, 3-5 thesis pillars, disconfirming evidence to monitor
2. **FINANCIAL PROFILE**: Revenue mix, growth rates, margin trends, Rule of 40 (for software), FCF generation
3. **COMPETITIVE LANDSCAPE**: Direct/indirect competitors, market position, competitive moat assessment
4. **MANAGEMENT OUTLOOK**: Forward guidance, strategic priorities, capital allocation
5. **ANALYST PERSPECTIVES**: Consensus views, price targets, rating distribution
6. **RISK ASSESSMENT**: Macro, regulatory, competitive, operational risks with leading indicators
7. **CATALYSTS**: 12-24 month bear/base/bull scenarios with probability weights

## Labelling Convention

Label every paragraph as:
- **[FACT]**: Sourced directly from SEC filings, financial data, or official company statements
- **[ANALYSIS]**: Derived from quantitative comparison or trend analysis
- **[INFERENCE]**: Qualitative judgment or forward-looking assessment

## Workflow

### Step 1: Financial Foundation

Tool: `segment_analyzer`
Query: Revenue by segment and geography, 3-year trends

Tool: `fundamentals_analyzer` + `sec_financials`
Query: Key financial metrics, analyst estimates (high/mean/low), price targets, margins, EPS

Present:
- Company identification: "[Company] ([Ticker]) — [Sector]"
- Financial snapshot: Revenue, EPS, margins for latest period
- Analyst consensus: [X] analysts, average target $[X]

### STOPPING POINT 1 — Financial Data Gathered

"I've pulled the financial foundation. Here's a quick snapshot:
- Revenue: $[X]B ([+/-X]% YoY)
- EPS: $[X] (consensus: $[X])
- Margins: Gross [X]%, Operating [X]%

I can:
- **Continue to qualitative research** (SEC filings, broker research, earnings calls, press releases)
- **Adjust the scope** (different time period, specific segments to focus on)
- **Run earnings intelligence first** (deep-dive recent quarter) → loads earnings-intelligence skill
- **Check competitive positioning** (peer comparison before thesis) → loads competitive-intelligence skill

How would you like to proceed?"

### Step 2: Qualitative Research

Tool: `search_sec_filings`
Query: Risk factors, MD&A narrative, competitive advantages from 10-K

Tool: `search_external_docs` (filter: broker_research)
Query: Analyst views, competitive positioning, sector analysis

Tool: `search_company_events`
Query: Management guidance, strategic commentary from earnings calls

Tool: `search_external_docs` (filter: press_releases)
Query: Recent catalysts, corporate developments

### STOPPING POINT 2 — All Research Gathered

"Research complete. Key findings:
- **Thesis direction**: [Bullish / Cautious / Mixed] based on data gathered
- **Top catalyst**: [1-sentence catalyst]
- **Top risk**: [1-sentence risk from SEC filings]
- **Management tone**: [Confident / Cautious / Defensive] based on earnings commentary

I can:
- **Generate the full 7-section memo** (recommended)
- **Review findings before synthesis** (I'll present raw data for each section)
- **Focus the memo** (emphasise specific sections — e.g., risk-heavy or catalyst-focused)
- **Generate IC-ready quick thesis** (1-page version with recommendation)

What format works best?"

### Step 3: Memo Compilation

Synthesise all data into 7-section format with [FACT]/[ANALYSIS]/[INFERENCE] labelling throughout.

See [SECTION_TEMPLATES.md](SECTION_TEMPLATES.md) for detailed section templates.

### Step 4: Optional Outputs

- **PDF Generation**: If user requests, call `pdf_generator` with report_title = "[Company] — Investment Memo", document_audience = "internal"
- **Audience Adaptation**: If user specifies audience, adapt per branching below

## Audience Branching

- **IC Memo** (Investment Committee — full detail): All 7 sections with [FACT]/[ANALYSIS]/[INFERENCE] labelling, 4-6 pages
- **Quick Thesis** (PM/CIO — action-oriented): Thesis Framing + Financial Profile + Catalysts only, 1-2 pages, recommendation-first
- **Client Summary** (Client/Prospect — educational): Thesis Framing + Financial Profile in plain language, no internal jargon, balanced tone, 2-3 pages

## Output Template

```
# Investment Memo: [Company] ([Ticker])

**Recommendation**: [BUY / HOLD / SELL] | **Conviction**: [High / Medium / Low]
**Date**: [Date] | **Analyst**: AI Research Co-Pilot

---

## Executive Summary
- [FACT] [Key financial metric]
- [ANALYSIS] [Key trend observation]
- [INFERENCE] [Forward-looking thesis statement]
- Recommendation: [BUY/HOLD/SELL] with [X]% upside to $[target]

## 1. Thesis Framing
**Core question**: [The key investment question this memo answers]

| Thesis Pillar | Evidence | Confidence |
|---------------|----------|------------|
| [Pillar 1] | [FACT: data point] | [High/Medium/Low] |
| [Pillar 2] | [FACT: data point] | [High/Medium/Low] |

**Disconfirming evidence to monitor**: [What would invalidate this thesis]

## 2. Financial Profile
| Metric | FY[X-2] | FY[X-1] | FY[X] | Trend |
|--------|---------|---------|-------|-------|
| Revenue | [X] | [X] | [X] | [direction] |
| EPS | [X] | [X] | [X] | [direction] |

## 3-7. [Remaining sections follow structure above]
```

## Cross-Skill References

- "Deep-dive recent earnings?" → `earnings-intelligence` skill
- "Compare to competitors?" → `competitive-intelligence` skill
- "Check insider/institutional signals?" → `insider-institutional-analysis` skill
- "Generate PDF?" → `pdf-report-generation` skill
- "Adapt for different audience?" → `audience-adaptive-narrative` skill

## Stopping Points

- After Step 1 (financial data): Offer scope adjustment + cross-skill options
- After Step 2 (all research gathered): Offer memo generation + format options
- After Step 3 (memo compiled): Offer PDF generation + audience adaptation