balls

Decompose complex queries into reasoning units with confidence scores.

1|Updated Mar 3, 2025

Search Tags:#decision making #problem solving #decomposition #reasoning #confidence scoring #complex analysis

Ready to run

npx skills add https://github.com/pyraxo/dotfiles --skill balls-pyraxo

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: balls
Source: https://github.com/pyraxo/dotfiles/tree/main/skills/balls
Command: npx skills add https://github.com/pyraxo/dotfiles --skill balls-pyraxo

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a structured protocol for complex problem-solving by breaking down a query into verifiable reasoning units and assigning confidence scores to each part.

Core Features & Use Cases

Decomposed Reasoning: Breaks down complex questions into smaller, manageable "balls" of inquiry.
Confidence Scoring: Assigns a quantifiable confidence level (0.0-1.0) to each reasoning unit.
Use Case: When faced with a complex decision like "Should I rewrite this Python service in Rust?", the skill will break it down into sub-questions about performance, team expertise, codebase complexity, etc., and provide a synthesized answer with an overall confidence score.

Quick Start

Use the balls skill to analyze whether to rewrite a Python service in Rust.

Frequently Asked Questions about balls

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

FAQPage Schema

How do I break down complex architectural decisions into verifiable reasoning units?▼

Decomposed reasoning breaks complex architectural decisions into self-contained, verifiable reasoning units, solves each independently, assigns confidence scores, and synthesizes a final answer with overall confidence and weakest link identification.

What is confidence scoring in problem solving and how does it work?▼

Confidence scoring in problem solving assigns a quantifiable confidence level from 0.0 to 1.0 to each decomposed reasoning unit, allowing you to verify individual conclusions and identify the weakest link before synthesizing a final answer.

Can I use decomposed reasoning for debugging complex scenarios and multi-faceted questions?▼

Yes, decomposed reasoning addresses multi-faceted questions, architectural decisions, and debugging scenarios by breaking them into manageable inquiry units, solving each independently, and synthesizing the results with an overall confidence score.

What's the best way to analyze whether to rewrite a Python service in Rust?▼

Decomposed reasoning analyzes whether to rewrite a Python service in Rust by breaking the decision into sub-questions about performance, team expertise, and codebase complexity, then providing a synthesized answer with an overall confidence score.

When should I not use decomposed reasoning with confidence scoring for problem solving?▼

Decomposed reasoning with confidence scoring should be avoided for simple, single-step queries that do not require breaking down complex problems into self-contained reasoning units or identifying weakest links in multi-faceted analysis.