tree-of-thoughts

Explore complex ideas through an 8-phase process with meta-judges and ranked-choice voting.

2|Updated Jul 13, 2025
One-click install
npx skills add https://github.com/krzemienski/shannon --skill tree-of-thoughts-krzemienski
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tree-of-thoughts
Source: https://github.com/krzemienski/shannon/tree/main/skills/tree-of-thoughts
Command: npx skills add https://github.com/krzemienski/shannon --skill tree-of-thoughts-krzemienski

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill aids in the exploration and refinement of complex ideas through a structured, 8-phase process, ensuring comprehensive and methodical development of solutions.

Core Features & Use Cases

  • Structured Exploration: Offers a systematic approach to exploring diverse ideas.
  • Parallel Meta-Judges: Utilizes parallel meta-judges for pruning and evaluation.
  • Adaptive Branching: Implements adaptive branching strategies based on feedback.
  • Use Case: Ideal for complex projects requiring a deep exploration of multiple approaches before committing to a solution.

Quick Start

Use the /shannon:dispatch-competitive command to initiate a Tree of Thoughts exploration with "explore multiple approaches before committing".

Frequently Asked Questions about tree-of-thoughts

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

FAQPage Schema
What is a structured tree of thoughts process for exploring complex ideas?

A structured tree of thoughts process explores complex ideas through an 8-phase workflow of exploration, pruning, expansion, and synthesis. It uses parallel meta-judges and adaptive branching to systematically develop solutions before committing.

How do I explore multiple approaches before committing to a solution?

You can explore multiple approaches before committing by initiating a structured exploration with parallel processing. The system applies probabilistic sampling and ranked-choice voting to evaluate diverse branches and synthesize the optimal result.

How do meta-judges work when pruning ideas in parallel?

Meta-judges work in parallel to evaluate and prune ideas by applying structured feedback mechanisms. They assess branches during the exploration phases, using ranked-choice voting to determine which paths advance to expansion and synthesis.

Can I use adaptive branching for complex software engineering projects?

Yes, you can use adaptive branching for complex software engineering projects. The 8-phase process adjusts branching strategies based on structured feedback, making it ideal for projects requiring deep exploration of multiple approaches before solution commitment.

When should I not use an 8-phase structured exploration process?

You should not use an 8-phase structured exploration process for simple tasks lacking complexity. The overhead of parallel meta-judges, probabilistic sampling, and adaptive branching is designed for deep exploration of multifaceted problems requiring methodical development.