prediction-forecast-analyst

Apply superforecasting principles to analyze probability-based scenarios and calibration.

Updated Mar 30, 2026
One-click install
npx skills add https://github.com/GGsLATAM/atomic-scaling-os --skill prediction-forecast-analyst
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prediction-forecast-analyst
Source: https://github.com/GGsLATAM/atomic-scaling-os/tree/main/.claude/plugins/atomic-scaling-os/skills/prediction-forecast-analyst
Command: npx skills add https://github.com/GGsLATAM/atomic-scaling-os --skill prediction-forecast-analyst

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the challenge of making well-calibrated decisions by teaching organizations to predict like Tetlock superforecasters, focusing on probability ranges and calibration.

Core Features & Use Cases

  • Superforecasting Framework: Incorporates Tetlock's superforecasting principles for better decision-making.
  • Calibration Scoring: Tracks and improves forecast accuracy over time.
  • Scenario Planning: Analyzes best, base, and worst-case scenarios for strategic decisions.
  • Decision Quality Audit: Separates decision quality from outcome quality for continuous improvement.
  • Use Case: For a company considering a major expansion, this Skill can help forecast potential outcomes and make informed decisions based on probabilities.

Quick Start

Activate the prediction-forecast-analyst skill to create a forecast for the upcoming quarter's revenue growth.

Frequently Asked Questions about prediction-forecast-analyst

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I improve forecast calibration for organizational decision-making?

Improve forecast calibration by tracking accuracy over time, separating decision quality from outcomes, and applying superforecasting principles to generate probability ranges for strategic decisions. This Skill audits and scores your historical predictions to refine future forecasts.

What is the best way to apply superforecasting principles to scenario analysis?

Apply superforecasting principles to scenario analysis by evaluating best, base, and worst-case probabilities for strategic initiatives. This Skill provides a framework to structure data inputs and assess decision quality using Tetlock's probabilistic forecasting methods.

How do I conduct a decision quality audit for strategic business expansion?

Conduct a decision quality audit by separating the quality of your strategic expansion decisions from the eventual outcome quality. This Skill assesses whether your organizational forecasting and scenario planning followed structured probabilistic thinking.

Do I need structured data input for probabilistic forecasting and scenario planning?

Yes, you need structured data input to generate probabilistic forecasts and conduct scenario planning. This Skill requires structured inputs to accurately model probability ranges and apply superforecasting frameworks to your organizational decisions.

Can I track and measure forecast accuracy over time using probability ranges?

Yes, you can track and measure forecast accuracy over time using calibration scoring. This Skill evaluates your historical probability ranges against actual outcomes to continuously improve your organization's predictive decision-making.