| name | investment-memo-generation |
| description | 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. |
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)
- THESIS FRAMING: Core investment question, 3-5 thesis pillars, disconfirming evidence to monitor
- FINANCIAL PROFILE: Revenue mix, growth rates, margin trends, Rule of 40 (for software), FCF generation
- COMPETITIVE LANDSCAPE: Direct/indirect competitors, market position, competitive moat assessment
- MANAGEMENT OUTLOOK: Forward guidance, strategic priorities, capital allocation
- ANALYST PERSPECTIVES: Consensus views, price targets, rating distribution
- RISK ASSESSMENT: Macro, regulatory, competitive, operational risks with leading indicators
- 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 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
