Claude Equity Research Skills — AI skill for Claude Code
Institutional-quality equity research skills for Claude AI — systematizing the fundamental analysis playbook from buy-side investing into reusable, AI-executable frameworks.
How to install Claude Equity Research Skills
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open HHFinAi/claude-equity-research-skills and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Claude Equity Research Skills does
Institutional-quality equity research skills for Claude AI — systematizing the fundamental analysis playbook from buy-side investing into reusable, AI-executable frameworks.
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README
📊 Claude Equity Research Skills
[](https://opensource.org/licenses/MIT) [](https://claude.ai) [](#-the-skills)
**Institutional-quality equity research skills for Claude AI — systematizing the fundamental analysis playbook from buy-side investing into reusable, AI-executable frameworks.**
Seven composable skills that let Claude reason like a long-only fundamental analyst: classify growth, map competitive moats, parse earnings, trace supply chains, diagnose director networks, validate investment themes, and read broker research.
📋 Table of Contents
- Why This Exists
- The Skills
- How Skills Work
- Installation
- Usage Examples
- Skill Composition Patterns
- Contributing
- License
🎯 Why This Exists
Most AI "investment analysis" prompts are shallow — they produce sell-side pastiche. These skills are different: each one encodes a specific, battle-tested research methodology used at buy-side shops, broken down into structured layers with explicit scoring, evidence requirements, and output schemas.
Built by someone with ~8 years in healthcare equity research and sustainability investing (The Global Fund, Baillie Gifford), these skills reflect how professional investors actually work — not what ChatGPT thinks investors do.
What you get
- Opinionated frameworks — each skill takes a methodological stance (7 Powers + Greenwald + Thorndike for growth; Porter + value chain + geopolitical resilience for competitive analysis; etc.)
- Mechanical scoring engines — repeatable grading rubrics, not vibes
- Evidence-first outputs — every claim traced to filings, calls, or price action
- **Wor
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