Token导航 LogoToken导航TokenDH.com
研究检索external-servicegithub未标认证来源可访问clear审计未展示

sequential-thinking顺序思维

Agent Skill

sequential-thinking 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

436

周安装

18

GitHub Stars

公开资料未说明

下载量

143
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:sequential-thinking(顺序思维)
来源仓库:https://github.com/microck/ordinary-claude-skills
仓库路径:skills/sequential-thinking
安装命令:
npx skills add microck/ordinary-claude-skills --skill "sequential-thinking"
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

AgentSkills.tonpx skills
npx skills add microck/ordinary-claude-skills --skill "sequential-thinking"

简介

sequential-thinking 用于查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词快速定位结果。
  • 可结合来源仓库和原始 README 核验具体用法。
  • 安装前建议确认权限范围和维护状态。
  • 不涉及直接修改代码,但需评估是否会触发命令执行或文件读写。

SKILL.md

name
sequential-thinking
description
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.
license
MIT

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

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

28.28%
按下载量换算40

Codex

24.92%
按下载量换算36

OpenCode

19.36%
按下载量换算28

Antigravity

12.45%
按下载量换算18

windsurf

8.75%
按下载量换算13

qwen-code

3.57%
按下载量换算5

安全审计

暂无安全审计结果可展示。

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills