ahochma

decision-frameworks

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# Install this skill:
npx skills add ahochma/My_PM_Skills --skill "decision-frameworks"

Install specific skill from multi-skill repository

# Description

Structures difficult decisions using Annie Duke's probabilistic thinking and Ben Horowitz's hard decisions frameworks. Use when facing tough choices, applying expected value thinking, or reducing decision paralysis with regret minimization and pre-mortems.

# SKILL.md


name: decision-frameworks
description: Structures difficult decisions using Annie Duke's probabilistic thinking and Ben Horowitz's hard decisions frameworks. Use when facing tough choices, applying expected value thinking, or reducing decision paralysis with regret minimization and pre-mortems.


Decision Architecture

When This Skill Activates

Claude uses this skill when:
- Facing difficult product decisions
- Choosing between multiple options
- Reducing decision paralysis
- Evaluating tradeoffs

Core Frameworks

1. Expected Value Thinking (Source: Annie Duke)

The Formula:

Expected Value = (Probability of Success ร— Value if Successful) 
                - (Probability of Failure ร— Cost if Fails)

Example:

Decision: Build feature A or B?

Feature A:
- 70% chance of +$100K revenue = $70K
- 30% chance of -$20K cost = -$6K
- Expected value: +$64K

Feature B:
- 30% chance of +$500K revenue = $150K
- 70% chance of -$50K cost = -$35K
- Expected value: +$115K

Choose B (higher EV despite lower probability)

2. Regret Minimization (Source: Jeff Bezos)

The Question:

"When I'm 80 years old, will I regret not trying this?"

Framework:
- Imagine yourself in the future
- Work backwards
- Minimize long-term regret


Action Templates

Template: Decision Matrix

# Decision: [Choice A vs Choice B]

## Expected Value

### Option A
- Success probability: [X]%
- Success value: [$Y]
- Failure probability: [Z]%
- Failure cost: [$W]
- **Expected value:** [$EV]

### Option B
- Success probability: [X]%
- Success value: [$Y]
- Failure probability: [Z]%
- Failure cost: [$W]
- **Expected value:** [$EV]

## Regret Minimization
- If I choose A, will I regret not trying B?
- If I choose B, will I regret not trying A?

## Reversibility
- Can we reverse this? [Yes/No]
- Cost to reverse: [Low/Medium/High]

## Decision: [Option] because [reasoning]

Quick Reference

๐ŸŽฒ Decision Checklist

Analysis:
- [ ] Expected value calculated
- [ ] Regret minimization applied
- [ ] Reversibility assessed
- [ ] Pre-mortem completed

Decision:
- [ ] Choice made
- [ ] Reasoning documented
- [ ] Success criteria defined


Key Quotes

Annie Duke:

"Life is poker, not chess. We're making decisions with incomplete information."

Jeff Bezos:

"Most decisions should probably be made with somewhere around 70% of the information you wish you had."

# Supported AI Coding Agents

This skill is compatible with the SKILL.md standard and works with all major AI coding agents:

Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.