Back to Skills

sequential-thinking

Elios-FPT
Updated Today
28 views
1
View on GitHub
Designdesign

About

This Claude Skill enables systematic step-by-step reasoning for complex problems through iterative thought steps with revision and branching capabilities. It's ideal for multi-stage analysis, design planning, and problem decomposition where scope may evolve. Key features include dynamic scope adjustment, revision tracking, and alternative path exploration while maintaining full context.

Documentation

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

Quick Install

/plugin add https://github.com/Elios-FPT/EliosCodePracticeService/tree/main/sequential-thinking

Copy and paste this command in Claude Code to install this skill

GitHub 仓库

Elios-FPT/EliosCodePracticeService
Path: .claude/skills/sequential-thinking

Related Skills

langchain

Meta

LangChain is a framework for building LLM applications using agents, chains, and RAG pipelines. It supports multiple LLM providers, offers 500+ integrations, and includes features like tool calling and memory management. Use it for rapid prototyping and deploying production systems like chatbots, autonomous agents, and question-answering services.

View skill

llamaindex

Meta

LlamaIndex is a data framework for building RAG-powered LLM applications, specializing in document ingestion, indexing, and querying. It provides key features like vector indices, query engines, and agents, and supports over 300 data connectors. Use it for document Q&A, chatbots, and knowledge retrieval when building data-centric applications.

View skill

business-rule-documentation

Meta

This skill provides standardized templates for systematically documenting business logic and domain knowledge following Domain-Driven Design principles. It helps developers capture business rules, process flows, decision trees, and terminology glossaries to maintain consistency between requirements and implementation. Use it when documenting domain models, creating business rule repositories, or bridging communication between business and technical teams.

View skill

project-structure

Meta

This skill provides comprehensive project structure guidelines and best practices for organizing codebases across various project types. It offers standardized directory patterns for monorepos, web frameworks, backend services, and libraries to ensure scalable, maintainable architecture. Use it when designing new project structures, organizing monorepo workspaces, or establishing code organization conventions for teams.

View skill