linehaul-ai

sequential-thinking

Use when complex problems require systematic step-by-step reasoning with ability to revise thoughts, branch into alternative approaches, or dynamically adjust scope. Ideal for multi-stage analysis, design planning, problem decomposition, or tasks with initially unclear scope.

linehaul-ai 4 Updated 7mo ago

Resources

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GitHub

Install

npx skillscat add linehaul-ai/linehaulai-claude-marketplace/sequential-thinking

Install via the SkillsCat registry.

About this skill

This skill enables systematic problem-solving through iterative reasoning, allowing agents to break down complex tasks into sequential steps, revise prior conclusions, explore alternative paths, and adjust scope dynamically. It addresses challenges in multi-stage analysis, design planning, and problem decomposition where initial understanding is incomplete or uncertain. Use it when tasks require adaptive reasoning, backtracking, or branching logic to resolve ambiguities or evolving requirements.

SKILL.md

Sequential Thinking

Enables structured problem-solving through iterative reasoning with revision and branching capabilities.

Core Capabilities

  • Iterative reasoning: Break complex problems into sequential thought steps
  • Dynamic scope: Adjust total thought count as understanding evolves
  • Revision tracking: Reconsider and modify previous conclusions
  • Branch exploration: Explore alternative reasoning paths from any point
  • Maintained context: Keep track of reasoning chain throughout analysis

When to Use

Use mcp__reasoning__sequentialthinking when:

  • Problem requires multiple interconnected reasoning steps
  • Initial scope or approach is uncertain
  • Need to filter through complexity to find core issues
  • May need to backtrack or revise earlier conclusions
  • Want to explore alternative solution paths

Don't use for: Simple queries, direct facts, or single-step tasks.

Basic Usage

The MCP tool mcp__reasoning__sequentialthinking accepts these parameters:

Required Parameters

  • thought (string): Current reasoning step
  • nextThoughtNeeded (boolean): Whether more reasoning is needed
  • thoughtNumber (integer): Current step number (starts at 1)
  • totalThoughts (integer): Estimated total steps needed

Optional Parameters

  • isRevision (boolean): Indicates this revises previous thinking
  • revisesThought (integer): Which thought number is being reconsidered
  • branchFromThought (integer): Thought number to branch from
  • branchId (string): Identifier for this reasoning branch

Workflow Pattern

1. Start with initial thought (thoughtNumber: 1)
2. For each step:
   - Express current reasoning in `thought`
   - Estimate remaining work via `totalThoughts` (adjust dynamically)
   - Set `nextThoughtNeeded: true` to continue
3. When reaching conclusion, set `nextThoughtNeeded: false`

Simple Example

// First thought
{
  thought: "Problem involves optimizing database queries. Need to identify bottlenecks first.",
  thoughtNumber: 1,
  totalThoughts: 5,
  nextThoughtNeeded: true
}

// Second thought
{
  thought: "Analyzing query patterns reveals N+1 problem in user fetches.",
  thoughtNumber: 2,
  totalThoughts: 6, // Adjusted scope
  nextThoughtNeeded: true
}

// ... continue until done

Advanced Features

For revision patterns, branching strategies, and complex workflows, see:

Tips

  • Start with rough estimate for totalThoughts, refine as you progress
  • Use revision when assumptions prove incorrect
  • Branch when multiple approaches seem viable
  • Express uncertainty explicitly in thoughts
  • Adjust scope freely - accuracy matters less than progress visibility