Skills

Investor Lenses

Named investor reasoning frameworks packaged as reusable analytical lenses, 12 lenses...

Install

npx skills add HKUDS/Vibe-Trading --skill investor-lenses -g -a claude-code -y
Repository
HKUDS/Vibe-Trading37.4k
Category
Marketing
Updated
3d ago
License
MIT
Context cost
Mediumabout 2,314 tokens
Runs scripts
No, instructions only

What it does

Named investor reasoning frameworks packaged as reusable analytical lenses, 12 lenses (deep value, quality franchise, inversion, scuttlebutt growth, GARP, cycle positioning, debt cycle, forensic short, cost drag, right-business, weak-system contrarian, three questions) that stack on top of evidence already gathered, each with ordered priority signals, hard disqualifiers, and documented failure modes.

Investor Lenses

What a lens is

A lens is a reasoning procedure: a fixed, ordered set of questions plus explicit veto rules, distilled from one investor's publicly published methodology. It is applied after the evidence exists, it does not gather data and does not care where the data came from.

The value of a lens is that it is opinionated and therefore falsifiable. A lens tells you, before you look at the answer, which signals it ranks first and which facts make it walk away. Two lenses disagreeing on the same evidence is the product, not a bug: the disagreement localizes exactly which assumption the decision rests on.

What a lens is NOT

  • Not investment advice. Every lens output is an analytical exercise.
  • Not the named person's opinion. Each lens is a reconstruction, in our own words, of a methodology that investor has described publicly. It is not written by them, not endorsed by them, and may diverge from what they would say today.
  • Not a universal truth test. A lens verdict is conditional on the lens. "Fails the Graham lens" and "bad investment" are different statements.
  • Not a ranking of masters. No lens is more correct than another; each has a domain where it is sharp and a domain where it is reliably wrong.

The five-step run

Read the whole SKILL.md on GitHub

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