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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,权限为调用外部服务;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 2,412。

总安装 1,608周安装 67GitHub Stars 25下载 536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/oimiragieo/agent-studio
仓库路径:skills/sequential-thinking
安装命令:
npx skills add https://github.com/oimiragieo/agent-studio --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/oimiragieo/agent-studio --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 和 Pull Request 信息。适用于代码协作、变更跟踪和仓库状态管理。通过 npx skills add 命令从 GitHub 仓库安装并使用。安装前需确认权限范围和是否触发网络请求。建议结合原始 README 核验具体集成方式。

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/oimiragieo/agent-studio --skill sequential-thi…;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

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

sequential-thinking 怎么安装?

在终端执行 npx skills add https://github.com/oimiragieo/agent-studio --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?

权限级别是调用外部服务。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。

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 1,608 次,近一周安装 67 次,下载 536 次,GitHub 25 星。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。

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。

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

1,60825调用外部服务未明确通过

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 Skill

Installation

Optional standalone executor: The skill can run .claude/tools/optimization/sequential-thinking/executor.py. Requirements:

  • Python 3.10+: python.org or winget install Python.Python.3.12 (Windows), brew install python@3.12 (macOS).
  • MCP Python package: pip install mcp
  • If the executor is not present or MCP is not installed, the skill still provides in-context guidance and exits successfully.

Full functionality: The Python script .claude/tools/optimization/sequential-thinking/executor.py must exist for standalone executor runs. Run node.claude/tools/cli/doctor.mjs to verify; doctor warns if the executor is missing.

Cheat Sheet & Best Practices

Frameworks: Polya: (1) Understand the problem (2) Devise a plan (3) Carry out the plan (4) Look back. IDEAL: Identify → Define context → Explore strategies → Act on best → Look back and learn.

Process: Be systematic: preview outcomes, sustain effort, examine from multiple angles, pace and self-monitor. Use diagrams, tables, patterns; break into subgoals; work backwards when useful.

Hacks: Number thoughts (thoughtNumber, totalThoughts); allow revision and branching. Start with an initial step count and refine. Use the MCP sequential-thinking tool for multi-step analysis and hypothesis verification when the full scope is unclear.

Certifications & Training

No cert. Problem-solving frameworks: Polya (Understand → Plan → Execute → Look back), IDEAL (Identify → Define → Explore → Act → Look back). Skill data: Systematic steps; preview outcomes; sustain effort; revise and branch; use diagrams/tables/patterns.

Hooks & Workflows

Suggested hooks: Optional: pre-plan or pre-complex-task hook to suggest sequential-thinking for multi-step tasks. Use with planner (primary) for planning and master-orchestrator when decomposing work.

Workflows: Use with planner (primary). Flow: complex task → load sequential-thinking → emit thoughts (MCP or executor) → revise → act. See core/router-decision for when router assigns planner.

Overview

This skill provides structured problem-solving through a flexible thinking process that can adapt and evolve. Each thought can build on, question, or revise previous insights.

Context Savings: ~97% reduction

  • MCP Mode: ~15,000 tokens always loaded
  • Skill Mode: ~500 tokens metadata + on-demand loading

When to Use

  • Breaking down complex problems into steps
  • Planning and design with room for revision
  • Analysis that might need course correction
  • Problems where the full scope isn't clear initially
  • Multi-step solutions requiring maintained context
  • Filtering irrelevant information
  • Hypothesis generation and verification

Quick Reference

Use the MCP sequential thinking tool directly:

// Via MCP tool
mcp__sequential -
  thinking__sequentialthinking({
    thought: 'First, let me analyze the problem...',
    thoughtNumber: 1,
    totalThoughts: 5,
    nextThoughtNeeded: true,
  });

Tool: sequentialthinking

A detailed tool for dynamic and reflective problem-solving through thoughts.

Parameters

ParameterTypeDescription
thoughtstringYour current thinking step
thoughtNumberintegerCurrent thought number (1, 2, 3...)
totalThoughtsintegerEstimated total thoughts needed
nextThoughtNeededbooleanWhether another thought step is needed
isRevisionbooleanIf this thought revises previous thinking
revisesThoughtintegerWhich thought number is being reconsidered
branchFromThoughtintegerBranching point thought number
branchIdstringIdentifier for current branch
needsMoreThoughtsbooleanIf more thoughts needed at the "end"

Key Features

  • Adjust totalThoughts up or down as you progress
  • Question or revise previous thoughts
  • Add more thoughts even after reaching what seemed like the end
  • Express uncertainty and explore alternatives
  • Branch or backtrack (non-linear thinking)
  • Generate and verify solution hypotheses

Process

  1. Start with initial estimate of needed thoughts
  2. Feel free to question/revise previous thoughts
  3. Add more thoughts if needed, even at the "end"
  4. Mark thoughts that revise or branch
  5. Generate solution hypothesis when appropriate
  6. Verify hypothesis based on Chain of Thought
  7. Repeat until satisfied
  8. Set nextThoughtNeeded: false only when truly done

Tool Execution

The sequential thinking tool is available via MCP. Use it directly in your responses:

// Execute a thinking step
mcp__sequential -
  thinking__sequentialthinking({
    thought: 'Your analysis here...',
    thoughtNumber: 1,
    totalThoughts: 5,
    nextThoughtNeeded: true,
  });

Configuration

MCP server configuration stored in config.json:

  • Command: npx -y @modelcontextprotocol/server-sequential-thinking

Related

  • Original MCP server: @modelcontextprotocol/server-sequential-thinking
  • MCP Converter Skill: .claude/skills/mcp-converter/

Iron Laws

  1. NEVER set nextThoughtNeeded: false before the solution hypothesis has been verified
  2. ALWAYS adjust totalThoughts dynamically as problem complexity becomes clear
  3. NEVER commit to the first approach without exploring at least one alternative via branching
  4. ALWAYS mark corrections explicitly with isRevision: true and revisesThought: N
  5. NEVER stop at the estimated thought count if the hypothesis remains unverified

Anti-Patterns

Anti-PatternWhy It FailsCorrect Approach
Fixed thought countThinking stops at an arbitrary estimate regardless of solution confidenceSet needsMoreThoughts: true and increase totalThoughts when complexity grows
No branchingCommits to the first approach without considering alternativesUse branchFromThought to explore multiple solution paths before choosing
Skipping revisionsIncorrect assumptions propagate uncorrected through downstream thoughtsMark all corrections with isRevision: true and revisesThought: N
Premature terminationUnverified hypothesis leads to incorrect or incomplete solutionsVerify the hypothesis explicitly before setting nextThoughtNeeded: false
No uncertainty markersOverconfident conclusions mislead execution agentsMark tentative thoughts explicitly; distinguish confident vs uncertain reasoning

Memory Protocol (MANDATORY)

Before starting: Read .claude/context/memory/learnings.md

After completing:

  • New pattern -> .claude/context/memory/learnings.md
  • Issue found -> .claude/context/memory/issues.md
  • Decision made -> .claude/context/memory/decisions.md
ASSUME INTERRUPTION: If it's not in memory, it didn't happen.

平台分布

Codex

36.94%
按下载量换算198

Claude

29.6%
按下载量换算159

Cursor

17.46%
按下载量换算94

Gemini CLI

9.76%
按下载量换算52

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

调用外部服务

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。目前只有一个公开来源,建议同时核对源仓库。

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