Balls Mode is a structured reasoning framework for Claude that breaks complex problems into smaller, verifiable units called 'balls', each with its own explicit confidence score.

What is the 'weakest link' in the synthesis report?

The weakest link is the lowest-confidence reasoning unit that significantly impacts the final conclusion, highlighting exactly where you need more information.

How does confidence scoring work in this skill?

It assigns a value from 0.0 to 1.0 to each sub-task based on available evidence and logic, helping you identify which parts of a solution are speculative versus certain.

Does it work for simple coding questions?

Yes, the protocol includes an initial 'Classify' step that handles trivial questions directly to ensure you don't waste time on unnecessary decomposition.

When should I use the /balls command?

Use /balls for complex decisions like architectural changes, deep debugging, or evaluating new tools where many variables or unknown dependencies exist.

Balls Mode: Structured Reasoning

Name: Balls Mode: Structured Reasoning
Author: gbasin

bygbasin

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生产力与工作流

Implements a decomposed reasoning protocol with explicit confidence scoring for complex problem-solving and architectural decisions.

Balls Mode is a specialized Claude Code skill designed to tackle complex technical and strategic questions through a rigorous decomposition process. By breaking down multifaceted problems into independent, verifiable 'balls' of logic, it prevents cognitive bias and ensures every component of a decision is analyzed for its specific confidence level. This skill is particularly useful for high-stakes architectural choices, debugging mysterious system behaviors, and evaluating new technologies where hidden assumptions often lead to flawed conclusions, providing a transparent map of what the AI knows and what it is merely guessing.

主要功能

0146 GitHub stars

02Logical decomposition into independent, verifiable reasoning units

03Synthesis reports that identify the 'weakest link' in a reasoning chain

04Actionable recommendations on how to increase confidence through specific data gathering

05Granular confidence scoring ranging from 0.0 to 1.0 for every sub-component

06Automatic problem classification to prevent over-engineering of trivial tasks

使用场景

01Root cause analysis for complex system failures with multiple potential variables

02Vetting high-level architectural designs and identifying hidden technical assumptions

03Evaluating whether to migrate a legacy service to a new language or framework

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add gbasin/balls-mode balls

For use in Claude.ai and ChatGPT

Download Skill