predictor-hand-skill

Collect and analyze diverse signals to generate calibrated predictions on future events.

Updated Mar 13, 2026

Search Tags:#AI #data analysis #forecasting #prediction #superforecasting #signal intelligence

Ready to run

npx skills add https://github.com/bacoco/openfang-fork --skill predictor-hand-skill-bacoco

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: predictor-hand-skill
Source: https://github.com/bacoco/openfang-fork/tree/main/crates/openfang-hands/bundled/predictor
Command: npx skills add https://github.com/bacoco/openfang-fork --skill predictor-hand-skill-bacoco

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the process of making and tracking accurate predictions about future events across various domains.

Core Features & Use Cases

Signal Collection: Gathers relevant data from news, social media, financial reports, and academic papers.
Reasoning & Prediction: Builds logical chains to form calibrated predictions with confidence levels.
Accuracy Tracking: Scores past predictions to improve future forecasting.
Use Case: An agent could use this skill to predict the next major technological trend in the AI industry, track its development, and report on its accuracy over time.

Quick Start

Use the predictor hand skill to make a prediction about the future of renewable energy.

Frequently Asked Questions about predictor-hand-skill

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

FAQPage Schema

How do I automate forecasting and prediction for future events?▼

Automate forecasting by employing superforecasting principles to collect diverse signals from news, financial reports, and academic papers, building logical chains to form calibrated predictions with confidence levels.

What is superforecasting and how does it improve prediction accuracy?▼

Superforecasting improves prediction accuracy by applying signal taxonomy and rigorous accuracy tracking to score past predictions, continuously enhancing future predictive capabilities.

Can I use AI data analysis to predict technology and finance trends?▼

AI data analysis facilitates autonomous forecasting across domains including technology, finance, geopolitics, and climate by gathering relevant data and developing evidence-based predictions.

How do I track and score the accuracy of my predictions over time?▼

Track prediction accuracy by scoring past predictions against actual outcomes, using rigorous accuracy tracking to calibrate and improve future forecasting performance.

What is the best way to collect signal intelligence for evidence-based predictions?▼

Collect signal intelligence by gathering relevant data from diverse sources like news, social media, financial reports, and academic papers to form calibrated, evidence-based predictions.

Do I need historical data to generate calibrated forecasts for geopolitical events?▼

Historical data improves accuracy tracking, but the forecasting engine builds calibrated predictions by collecting and analyzing diverse current signals across geopolitics, climate, and finance.