HHFinAi/claude-equity-research-skills

# Competitive Analysis Framework

## Overview

This skill provides a systematic 11-section framework for analyzing company competitiveness, producing institutional-quality investment research. The framework incorporates geopolitical supply chain resilience as a distinct competitive dimension, reflecting the 2026 environment where domestic/friend-shored supply chains represent meaningful competitive advantages. The output consists of a one-page visual infographic summary followed by detailed analytical sections.

## Workflow

### Step 1: Information Gathering

Collect necessary information about the company and industry:
- Company name, ticker symbol, and business description
- Recent financial filings (10-K, 10-Q, investor presentations)
- Industry reports and competitive landscape data

# Corporate Network Analysis

Exploit slow information diffusion through supply chain relationships and director interlocks to identify predictable stock returns. Academic research shows customer momentum yields ~150bps monthly alpha; board centrality generates ~4.68% annual risk-adjusted returns.

## Core Investment Theses

1. **Supply Chain Momentum**: When a customer gets a big order, upstream suppliers benefit with a lag (40% of shock diffuses over subsequent months)
2. **Director Interlock Signals**: Shared board members facilitate information flow, M&A activity, and strategic alignment
3. **Cross-Holding Synergies**: Executives/directors with positions in multiple companies may orchestrate beneficial strategic moves

## Workflow

### Phase 1: Identify Target Company Networks

# Earnings Analysis: Institutional-Quality Quarterly Review Framework

## Overview

This skill transforms raw earnings materials (filings, releases, transcripts) into structured investment-grade analysis. It moves beyond simple beat/miss reporting to diagnose *why* results deviated, *what matters* for the forward thesis, and *what action* follows — the way a senior buyside analyst processes a quarter.

**Philosophy**: The market doesn't pay for knowing what happened. It pays for knowing what changed, whether it's repeatable, and what's mispriced. Every earnings analysis must answer: "So what? What do I do now?"

**Two-part architecture.** The skill is a four-layer analytical framework (Parse → Compare → Diagnose → Decide) anchored by a Python scoring engine at `scripts/score_earnings.py` that produces a mechanical composite verdict, flag inventory, and expectations regime classification. The scorer runs at the end of Step 2 and anchors the judgment work in Steps 3 and 4 — it is an input to the diagnosis, not a replacement for it.

## Input Types & Parsing Priority

The skill handles these inputs, in priority order:

# Growth Stock Analysis Framework

## Overview

This skill provides a structured methodology for analyzing growth stocks by integrating insights from 13 foundational sources on competitive strategy, technology adoption, narrative economics, and capital allocation. The framework helps identify companies with durable competitive advantages positioned to compound value over extended periods.

## Theoretical Foundation

### The Fundamental Equation of Strategy (Helmer)

```
NPV = M₀ × g × s × m

Where:

# Investment Report Reader

**Version: 3.3** — adds missing-report detection, the EPS/PT/spot three-way race diagnostic (Rule 13), broadens Rule 12 from framework-switch to definition-switch, lowers the sector-mining threshold to single-paragraph mentions, requires bull-case sanity-checks against prior-cycle peaks, requires unit-consistency checks across estimate trajectories, and adds the unstated-falsifier prompt to every playbook. See changelog at the end of this file.

A specialised PDF reading skill for investment research documents. Built on top of the public `pdf-reading` skill but tuned for the specific structure, vocabulary, and extraction targets of investment reports.

## When this skill applies

Trigger on any PDF that is:
- **Sell-side research** — broker notes, initiations, company updates, sector primers, strategy notes
- **Company filings** — annual reports, 10-K / 10-Q / 20-F, interim reports, prospectuses
- **Fund documents** — factsheets, monthly/quarterly commentaries, KIIDs, holdings reports
- **Buy-side internal research** — investment memos, IC papers, pitch books
- **Macro / strategy** — house view documents, outlook reports, central bank publications

# Supply Chain Pass-Through (v2)

## Purpose

Given a secular trend, produce a mechanically-derived chain of listed beneficiaries and substantiate each link with concrete earnings evidence. The output is a thesis-grade thematic map that a PM can defend in an IC — not a vague "themes we like" list.

The skill's value is as much in what it **refuses to include** as in what it recommends. Naive baskets are always bigger than correct ones; the pass-through analysis is an anti-bullshit filter on thematic investing.

## Core principles

### 1. Two meanings of pass-through

- **Trend pass-through**: how the driver mechanically reaches each layer of the chain.
- **Value pass-through**: whether a company *captures* the benefit or merely *transits* it to customers or input suppliers.

# Thematic Investment Research Framework

## Overview

Thematic investing identifies structural, long-duration trends reshaping economies and captures value across industries united by common secular drivers. This skill provides an eight-phase methodology from theme identification through portfolio implementation.

## Research Workflow

Execute phases sequentially, with gate reviews between major phases:

```
Phase I:   Theme Identification & Validation
Phase II:  Structural Analysis (TAM, Value Chain, Competition)
Phase III: Universe Construction & Screening