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Agent Skill · 待分类

sequential-thinking(顺序思维)

sequential-thinking 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

sequential-thinking 是待分类类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在待分类类的 11,209 个 Skill 里排第 10,789。

总安装 190周安装 8GitHub Stars 公开资料未说明下载 67核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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/irahardianto/monarch
仓库路径:skills/sequential-thinking
安装命令:
npx skills add https://github.com/irahardianto/monarch --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。

skills.shnpx skills
npx skills add https://github.com/irahardianto/monarch --skill sequential-thinking

这个 Skill 是做什么的

这个 Skill 的分类还没最终确定,用法以来源仓库的说明为准。

sequential-thinking 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。适合围绕仓库状态、代码变更或协作事项进行整理。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、维护状态及是否会触发联网或文件读写。

适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/sequential-thinking

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/irahardianto/monarch --skill sequential-thinki…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

sequential-thinking 怎么安装?

在终端执行 npx skills add https://github.com/irahardianto/monarch --skill sequential-thinking。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

sequential-thinking 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

sequential-thinking 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

sequential-thinking 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

sequential-thinking 用的人多吗?

公开数据是累计安装 190 次,近一周安装 8 次,下载 67 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

sequential-thinking 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理待分类类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

待分类类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
infsh-cli

infsh CLI · Codex、Claude

4,374,576382权限未标注未明确未收录
ai-video-generation

AI 视频生成 · Codex、Claude

4,313,376382调用外部服务未明确有提醒
lark-openapi-explorer

云雀 OpenAPI 浏览器 · Codex、Claude

2,064,1209,011需要联网未明确有提醒
lark-workflow-standup-report

Lark 工作流程站立报告 · Codex、Claude

2,041,6328,978需要联网未明确通过
use-my-browser

使用我的浏览器 · Codex、Claude

1,848,49140操作浏览器未明确未通过
sequential-thinking

顺序思维 · 本页

190—只读未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Sequential Thinking

A structured approach to complex problem-solving that breaks down challenges into iterative thought steps with built-in flexibility for revision and course correction.

When to Use This Skill

  • Breaking down complex problems into manageable steps
  • Planning and design requiring iterative refinement
  • Analysis that might need course correction mid-stream
  • Problems where the full scope emerges during analysis
  • Multi-step solutions requiring context across steps
  • Filtering out irrelevant information
  • Hypothesis generation and verification workflows

Core Methodology

Sequential thinking follows a dynamic process:

  1. Initial estimation: Start with an estimate of thoughts needed, but remain flexible
  2. Iterative analysis: Work through thoughts sequentially while building context
  3. Revision capability: Question or revise previous thoughts as understanding deepens
  4. Branch exploration: Explore alternative approaches when needed
  5. Hypothesis cycle: Generate hypotheses, verify against thought chain, repeat
  6. Convergence: Continue until reaching a satisfactory solution

Instructions

Thought Structure

Each thought in the sequence should include:

  • thought: Current thinking step content
  • thoughtNumber: Position in sequence (1, 2, 3,...)
  • totalThoughts: Current estimate of total thoughts needed (adjustable)
  • nextThoughtNeeded: Whether another thought step is required

Optional revision/branching metadata:

  • isRevision: Boolean indicating if reconsidering previous thinking
  • revisesThought: Which thought number is being revised
  • branchFromThought: Branching point thought number
  • branchId: Identifier for current branch
  • needsMoreThoughts: Flag when reaching end but requiring more analysis

Process Guidelines

Starting out:

  • Estimate initial thoughts needed based on problem complexity
  • Begin with thought 1, establishing context and approach
  • Set totalThoughts conservatively; you can adjust later

During analysis:

  • Build on previous thoughts while maintaining context
  • Filter out irrelevant information at each step
  • Express uncertainty when present
  • Don't hesitate to revise if you spot errors or better approaches
  • Adjust totalThoughts up/down as the problem's scope becomes clearer

Revision pattern: When reconsidering previous thinking:

{
  "thought": "On reflection, thought 3's assumption about X was incorrect because Y...",
  "thoughtNumber": 6,
  "totalThoughts": 10,
  "isRevision": True,
  "revisesThought": 3,
  "nextThoughtNeeded": True
}

Hypothesis cycle:

  1. Generate hypothesis based on current understanding
  2. Verify against previous thought chain
  3. If verification fails, revise or branch
  4. Repeat until hypothesis is validated

Completion:

  • Only set nextThoughtNeeded: False when truly satisfied with the solution
  • Provide a single, clear final answer
  • Ensure the answer directly addresses the original problem

Working with Context

Maintain continuity:

  • Reference specific previous thoughts by number
  • Build logical connections between thoughts
  • Track which thoughts are still valid vs. revised

Filter information:

  • Ignore details irrelevant to current thought step
  • Focus on information that advances understanding
  • Re-evaluate relevance as context evolves

Manage complexity:

  • If a thought becomes too complex, break it into multiple thoughts
  • Increase totalThoughts estimate accordingly
  • Keep each individual thought focused

Output Format

Present your sequential thinking in a structured format:

Thought [N/Total]: [Current thought content]
[If revision: "This revises thought X because..."]
[If branching: "Branching from thought X to explore..."]

[Continue with next thought when nextThoughtNeeded is True]

Final output after all thoughts complete:
Solution: [Clear, direct answer to the original problem]

Examples

For concrete examples of sequential thinking in action, see resources/examples.md.

Key Principles

  • Flexibility over rigidity: Adjust your approach as understanding deepens
  • Revision is strength: Correcting course shows good reasoning
  • Hypothesis-driven: Generate and test hypotheses iteratively
  • Context-aware: Maintain awareness of previous thoughts while progressing
  • Clarity at completion: Deliver a single, clear final answer

平台分布

Codex

31.22%
按下载量换算21

Claude

30.99%
按下载量换算21

Cursor

19.73%
按下载量换算13

Gemini CLI

9.76%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。目前只有一个公开来源,建议同时核对源仓库。

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