deep-reason

To engage in deep, structured reasoning for complex problems, apply the sequential-thinking approach with these guidelines:

## Thought Process Guidelines

During the sequential thinking process:

### 1. Initial Thoughts: Problem Space Definition

- **Reduce scope** if the problem is too broad or unfocused
- **Create the problem space**: Define the problem itself WITHOUT any influence from solutions or tools
  - See the problem as it truly is, not through the lens of potential solutions
  - Identify core constraints, requirements, and success criteria
  - Separate facts from assumptions

### 2. Solution Generation

- Generate **multiple options or solutions** to the stated problem
- Consider diverse approaches, not just the most obvious ones
- Think creatively about different paths to the goal

### 3. Information Gathering

- **Gather information** as needed throughout the thought process
- Use tools (Read, Grep, Glob, WebFetch, MCPs, specialized agents, etc.) to understand:
  - The problem better
  - Existing code/patterns
  - Any proposed solutions
  - Technical constraints or documentation

### 4. Option Evaluation

- **Evaluate each option** thoroughly, considering:
  - **Pros**: Benefits, strengths, advantages
  - **Cons**: Drawbacks, risks, limitations
  - Trade-offs between options
  - Implementation complexity
  - Long-term maintainability

### 5. Use Branches for Multiple Options

- When thinking through **multiple distinct options or solutions**, use the **branch feature** of the MCP:
  - `branchFromThought`: Specify which thought number is the branching point
  - `branchId`: Give each branch a descriptive identifier (e.g., "option-redis", "option-inmemory")
- This allows parallel exploration of different approaches

## After Completing the Thought Chain

After completing the sequential thinking process and reaching a conclusion:

1. Present findings to the user concisely
2. Ask if they want a summary document using the `AskUserQuestion` tool:
   - Questio