Install
Quick install
npx skills add https://github.com/NeoLabHQ/context-engineering-kit/tree/master/plugins/sadd/skills/tree-of-thoughtsnpx skills add NeoLabHQ/context-engineering-kit --skill "Tree of Thoughts Reasoning" --agent claude-codenpx skills add NeoLabHQ/context-engineering-kit --skill "Tree of Thoughts Reasoning" --agent cursornpx skills add NeoLabHQ/context-engineering-kit --skill "Tree of Thoughts Reasoning" --agent codexnpx skills add NeoLabHQ/context-engineering-kit --skill "Tree of Thoughts Reasoning" --agent opencodenpx skills add NeoLabHQ/context-engineering-kit --skill "Tree of Thoughts Reasoning" --agent github-copilotnpx skills add NeoLabHQ/context-engineering-kit --skill "Tree of Thoughts Reasoning" --agent windsurfMore 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.gitcp -r context-engineering-kit/plugins/sadd/skills/tree-of-thoughts ~/.claude/skills/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-apifrom outputspecs/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-3.0Version1.0.0Categories
AI & MLDeveloper ToolsTags
tree-of-thoughtssystematic-reasoningmulti-agentexplorationdecision-makingFeatures
Related Skills
More from AI & MLMulti-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 implementation433NeoLabHQAI & 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 scoring433NeoLabHQAI & MLDeveloper Tools00
prompt-engineering
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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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