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Tree Of Thoughts Reasoning

Systematic ToT reasoning framework with 6 phases: explore, prune, expand, evaluate, adaptive strategy selection, and synthesis with parallel agent dispatch

AuthorNeoLabHQ
Version1.0.0
LicenseMIT
Token count~690
UpdatedJun 5, 2026

Install

Quick install

via npx skills · works with 57+ agents
npx skills add https://github.com/NeoLabHQ/context-engineering-kit/tree/master/plugins/sadd/skills/tree-of-thoughts
Or pick agent:
npx skills add NeoLabHQ/context-engineering-kit --skill "Tree of Thoughts Reasoning" --agent claude-code
npx skills add NeoLabHQ/context-engineering-kit --skill "Tree of Thoughts Reasoning" --agent cursor
npx skills add NeoLabHQ/context-engineering-kit --skill "Tree of Thoughts Reasoning" --agent codex
npx skills add NeoLabHQ/context-engineering-kit --skill "Tree of Thoughts Reasoning" --agent opencode
npx skills add NeoLabHQ/context-engineering-kit --skill "Tree of Thoughts Reasoning" --agent github-copilot
npx skills add NeoLabHQ/context-engineering-kit --skill "Tree of Thoughts Reasoning" --agent windsurf
More install options

Shorthand — useful for multi-skill repos:

npx skills add NeoLabHQ/context-engineering-kit --skill "Tree of Thoughts Reasoning"

Manual — clone the repo and drop the folder into your agent's skills directory:

git clone https://github.com/NeoLabHQ/context-engineering-kit.git
cp -r context-engineering-kit/plugins/sadd/skills/tree-of-thoughts ~/.claude/skills/
How to use: Once installed, ask your agent to "use the Tree of Thoughts Reasoning skill" or describe what you want (e.g. "Systematic ToT reasoning framework with 6 phases: explore, prune, expand, evalua"). Requires Node.js 18+.

Tree of Thoughts Reasoning

Systematic ToT reasoning framework with 6 phases: explore, prune, expand, evaluate, adaptive strategy selection, and synthesis with parallel agent dispatch

What is it?
Systematic ToT reasoning framework with 6 phases: explore, prune, expand, evaluate, adaptive strategy selection, and synthesis with parallel agent dispatch Built for use cases involving tree-of-thoughts, systematic-reasoning, multi-agent, exploration, decision-making.

How to use it?

Before starting, ensure the directory structure exists:
`mkdir -p .specs/research .specs/reports
`

Naming conventions:

  • Proposals: .specs/research/{solution-name}-{YYYY-MM-DD}.proposals.[a|b|c].md
  • Pruning: .specs/research/{solution-name}-{YYYY-MM-DD}.pruning.[1|2|3].md
  • Selection: .specs/research/{solution-name}-{YYYY-MM-DD}.selection.md
  • Evaluation: .specs/reports/{solution-name}-{YYYY-MM-DD}.[1|2|3].md

Where:

  • {solution-name} - Derived from output path (e.g., users-api from output specs/api/users.md)
  • {YYYY-MM-DD} - Current date

Note: Solutions remain in their specified output locations; only research and evaluation files go to .specs/

Key Features

  • Systematic ToT reasoning framework with 6 phases: explore, prune, expand, evaluate, adaptive strategy selection, and synthesis with parallel agent dispatch
  • Seamless integration with Claude's development workflow
  • Comprehensive guidelines and best practices for tree of thoughts reasoningView on GitHub

GitHub Stats

StarsForksLast UpdateAuthorNeoLabHQLicenseGPL-3.0Version1.0.0

Categories

AI & MLDeveloper Tools

Tags

tree-of-thoughtssystematic-reasoningmulti-agentexplorationdecision-making

Features

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---

Source: https://github.com/NeoLabHQ/context-engineering-kit/tree/master/plugins/sadd/skills/tree-of-thoughts
Author: NeoLabHQ
License: https://www.gnu.org/licenses/gpl-3.0.html
GitHub Stars: 433
Tags: tree-of-thoughts, systematic-reasoning, multi-agent, exploration, decision-making

SKILL.md source

---
name: Tree of Thoughts Reasoning
description: Systematic ToT reasoning framework with 6 phases: explore, prune, expand, evaluate, adaptive strategy selection, and synthesis with parallel agent dispatch
---

# Tree of Thoughts Reasoning

Systematic ToT reasoning framework with 6 phases: explore, prune, expand, evaluate, adaptive strategy selection, and synthesis with parallel agent dispatch

What is it?
Systematic ToT reasoning framework with 6 phases: explore, prune, expand, evaluate, adaptive strategy selection, and synthesis with parallel agent dispatch Built for use cases involving tree-of-thoughts, systematic-reasoning, multi-agent, exploration, decision-making.

## How to use it?
Before starting, ensure the directory structure exists:

```
`mkdir -p .specs/research .specs/reports
`
```

Naming conventions:

* Proposals: `.specs/research/{solution-name}-{YYYY-MM-DD}.proposals.[a|b|c].md`

* Pruning: `.specs/research/{solution-name}-{YYYY-MM-DD}.pruning.[1|2|3].md`

* Selection: `.specs/research/{solution-name}-{YYYY-MM-DD}.selection.md`

* Evaluation: `.specs/reports/{solution-name}-{YYYY-MM-DD}.[1|2|3].md`

Where:

* `{solution-name}` - Derived from output path (e.g., `users-api` from output `specs/api/users.md`)

* `{YYYY-MM-DD}` - Current date

Note: Solutions remain in their specified output locations; only research and evaluation files go to `.specs/`

## Key Features

* Systematic ToT reasoning framework with 6 phases: explore, prune, expand, evaluate, adaptive strategy selection, and synthesis with parallel agent dispatch
* Seamless integration with Claude's development workflow
* Comprehensive guidelines and best practices for tree of thoughts reasoningView on GitHub

### GitHub Stats
StarsForksLast UpdateAuthorNeoLabHQLicenseGPL-3.0Version1.0.0

### Categories
AI & MLDeveloper Tools

### Tags
tree-of-thoughtssystematic-reasoningmulti-agentexplorationdecision-making

### Features

## Related Skills
More from AI & ML

### Multi-Agent Architecture Patterns
Reference guide for multi-agent architecture patterns including Supervisor/Orchestrator, Peer-to-Peer/Swarm, and Hierarchical, with context isolation principles and Claude Code implementation

433NeoLabHQAI & MLDeveloper Tools00

### First Principles Hypothesis Framework
First Principles reasoning framework with hypothesis generation, logical and evidence validation, layered trust audit (L0/L1/L2), and reliability scoring

433NeoLabHQAI & MLDeveloper Tools00

### prompt-engineering
Teaches well-known prompt engineering techniques and patterns, including Anthropic best practices and agent persuasion principles

433NeoLabHQDeveloper ToolsAI & ML00

---

**Source**: https://github.com/NeoLabHQ/context-engineering-kit/tree/master/plugins/sadd/skills/tree-of-thoughts
**Author**: NeoLabHQ
**License**: https://www.gnu.org/licenses/gpl-3.0.html
**GitHub Stars**: 433
**Tags**: tree-of-thoughts, systematic-reasoning, multi-agent, exploration, decision-making

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