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predictor-hand-skill

Generate calibrated predictions by analyzing signals and tracking forecast accuracy.

Updated Aug 27, 2026
Search Tags:#AI agent#data analysis#forecasting#prediction#superforecasting#signal collection
One-click install
npx skills add https://github.com/vTajae/0x000026 --skill predictor-hand-skill-vtajae
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: predictor-hand-skill
Source: https://github.com/vTajae/0x000026/tree/main/crates/openfang-hands/bundled/predictor
Command: npx skills add https://github.com/vTajae/0x000026 --skill predictor-hand-skill-vtajae

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the process of collecting signals, building reasoning chains, and making calibrated predictions about future events, while rigorously tracking accuracy over time.

Core Features & Use Cases

  • Autonomous Prediction: Generates predictions on user-defined domains (tech, finance, geopolitics, etc.) without constant prompting.
  • Signal Aggregation: Collects and analyzes data from various sources (news, social media, financial data, academic papers) to inform predictions.
  • Accuracy Tracking: Scores past predictions against actual outcomes to improve future forecasting calibration.
  • Use Case: An investment analyst could use this Skill to monitor market signals, generate predictions about stock price movements, and track the accuracy of those predictions to refine their investment strategy.

Quick Start

Use the predictor-hand-skill to generate predictions for the technology domain with a 3-month time horizon.

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 AI forecasting and prediction generation across different domains?▼

You can automate AI forecasting by configuring target domains, time horizons, and data sources. The Skill autonomously collects signals, builds reasoning chains, and generates calibrated predictions without constant prompting.

What is superforecasting and how does an AI agent track prediction accuracy?▼

Superforecasting uses falsifiable predictions and rigorous accuracy tracking. This Skill scores past predictions against actual outcomes to continuously improve future forecasting calibration.

Can I use signal collection from news and financial data for market prediction?▼

Yes, signal collection aggregates data from news, social media, financial data, and academic papers. This informs autonomous predictions for domains like finance to support investment strategies.

How do I configure time horizons and reporting frequencies for autonomous prediction?▼

Autonomous prediction supports configurable time horizons and reporting frequencies. You can set a 3-month time horizon for the technology domain to generate and track forecasts automatically.

What's the best way to build reasoning chains for falsifiable predictions?▼

The best way to build reasoning chains is through automated signal aggregation. The Skill collects and analyzes data from various sources to construct reasoning chains supporting calibrated, falsifiable predictions.

Does this forecasting engine work for geopolitics and technology domains?▼

Yes, the forecasting engine generates predictions across user-defined domains including tech, finance, and geopolitics. It automates signal collection and analysis for each specified domain.

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