Sequential Thinking Integration
Enable dynamic and reflective problem-solving through structured thinking steps.
Overview
The Sequential Thinking integration empowers your AI with a sophisticated problem-solving framework that adapts and evolves as understanding deepens. It allows for systematic analysis while maintaining flexibility to revise and branch when needed.
Sequential Thinking is built into Skeet and requires no additional authentication.
Example Prompts
The simplest way to use sequential thinking is mention sequential thinking in your prompts.
Sequential thinking is often used with multiple MCP server tools to help create workflows.
Here are some example prompts illustrating how to use Sequential Thinking, along with potential outputs:
Prompt:
Use Sequential Thinking MCP server to first plan, then code, and finally review a React component
that fetches and displays real-time cryptocurrency prices from a WebSocket API. The final code
should be production-ready and secure.
Output:
Thought 1 (Plan): Okay, planning the component structure. Will use functional components with
Hooks (useState, useEffect). State needed for price data, connection status, and errors. Will
need a WebSocket connection handler utility.
Thought 2 (Research): Searching for reliable public WebSocket APIs for crypto prices... Found
options A and B. Option A seems more stable and has better documentation.
Thought 3 (Code - Component): Implementing React component structure as planned...
Thought 4 (Code - WebSocket): Writing WebSocket connection utility...
Thought 5 (Review): Reviewing component code... Found potential unhandled error state in WebSocket
disconnect. Adding error handling.
Thought 6 (Final): Component planned, coded with WebSocket integration, and reviewed for basic
error handling. Ready for integration.
Key Features
- Flexible thought process that can adapt and evolve
- Ability to question and revise previous insights
- Support for branching and backtracking
- Hypothesis generation and verification
- Context maintenance across multiple steps
- Dynamic adjustment of thinking steps
When to Use
Sequential Thinking is particularly valuable for:
- Breaking down complex problems into steps
- Planning and design with room for revision
- Analysis that might need course correction
- Problems where the full scope isn't clear initially
- Tasks requiring multi-step solutions
- Maintaining context over multiple steps
- Filtering out irrelevant information
Parameters
The Sequential Thinking tool accepts the following parameters:
{
"thought": "Your current thinking step",
"nextThoughtNeeded": true,
"thoughtNumber": 1,
"totalThoughts": 5
}
Basic Usage
Use Sequential Thinking to break down problems systematically:
Think through the steps needed to implement user authentication:
1. Define requirements
2. Design data model
3. Plan API endpoints
4. Consider security measures
5. Outline testing strategy
Advanced Features
Branching Thoughts
Create alternative thought paths when multiple approaches need exploration:
{
"thought": "Consider microservices architecture",
"thoughtNumber": 3,
"branchFromThought": 2,
"branchId": "architecture-b",
"nextThoughtNeeded": true,
"totalThoughts": 6
}
Revising Previous Thoughts
Update earlier thinking as new insights emerge:
{
"thought": "Updated security approach based on new compliance requirements",
"thoughtNumber": 4,
"isRevision": true,
"revisesThought": 2,
"nextThoughtNeeded": true,
"totalThoughts": 5
}
The total number of thoughts can be adjusted dynamically as the analysis evolves.
What's next?
Now that you understand Sequential Thinking, explore other integrations to enhance your AI's capabilities.
Integrations
Sequential Thinking
Enable dynamic and reflective problem-solving through structured thinking steps.