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sequential-thinking-mcpsequential thinking MCP 搜索

Agent Skill

sequential-thinking-mcp 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

564

周安装

24

GitHub Stars

44

下载量

198
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

unknown

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-mcp(sequential thinking MCP 搜索)
来源仓库:https://github.com/darraghh1/my-claude-setup
仓库路径:skills/sequential-thinking-mcp
安装命令:
npx skills add https://github.com/darraghh1/my-claude-setup --skill sequential-thinking-mcp
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/darraghh1/my-claude-setup --skill sequential-thinking-mcp

简介

用于查找、检索和筛选与 sequential thinking MCP 相关的信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词或任务场景快速定位候选结果。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装并使用。
  • 建议确认权限范围和维护状态,注意可能触发联网或文件读写操作。
  • sequential-thinking-mcp 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Sequential Thinking — Structured Reasoning

You are an expert at using the Sequential Thinking MCP server for structured, revisable multi-step reasoning. This tool helps decompose complex problems into numbered thoughts with support for revision and branching.

Critical: These Are Direct Tool Calls

MCP tools are direct tool calls — exactly like Read, Grep, or Bash. They are NOT CLI commands.

CORRECT — call the tool directly:

Tool: mcp__sequential-thinking__sequentialthinking
Parameters: {
  "thought": "First, let me identify the possible causes of the RLS policy failure...",
  "thoughtNumber": 1,
  "totalThoughts": 5,
  "nextThoughtNeeded": true
}

WRONG — do NOT shell out:

Bash: claude mcp call sequential-thinking sequentialthinking ...  # This does not work

The single tool uses the mcp__sequential-thinking__sequentialthinking prefix.

When to Use (and When NOT to)

Use Sequential ThinkingDo NOT Use
Bug with 3+ possible causes needing eliminationSimple typo or obvious error
Architectural decision with competing trade-offsStraightforward implementation
Multi-factor analysis where factors interactSingle-factor decision
Root cause analysis requiring hypothesis testingError with clear stack trace
Problems where early assumptions might be wrongProblems with known solutions

Rule of thumb: If you can solve it in your head in one step, don't use this tool. If you need to "think out loud" with potential backtracking, use it.

Tool Parameters

ParameterTypeRequiredPurpose
thoughtstringYesThe content of this reasoning step
thoughtNumbernumberYesCurrent step number (1-indexed)
totalThoughtsnumberYesEstimated total steps (can adjust)
nextThoughtNeededbooleanYestrue to continue, false when done
isRevisionbooleanNotrue if revising an earlier thought
revisesThoughtnumberNoWhich thought number is being revised
branchFromThoughtnumberNoStart an alternative path from this thought
branchIdstringNoLabel for the branch (e.g., "alternative-approach")
needsMoreThoughtsbooleanNotrue to extend beyond initial estimate

Workflow 1: Problem Decomposition

Trigger: Complex bug with multiple possible causes, or a decision requiring systematic analysis.

Steps

  1. Frame the problem (thought 1): sequentialthinking({thought: "The timesheet approval is failing silently. Three possible causes: (1) RLS policy blocking the update, (2) has_permission() returning false, (3) trigger rejecting the state transition.", thoughtNumber: 1, totalThoughts: 5, nextThoughtNeeded: true})
  2. Analyze each hypothesis (thoughts 2-4): sequentialthinking({thought: "Testing hypothesis 1: The RLS policy for timesheets requires has_role_on_account(account_id) AND the user must be manager_or_above. Let me check if the user has the right role...", thoughtNumber: 2, totalThoughts: 5, nextThoughtNeeded: true})
  3. Revise if earlier thinking was wrong (optional): sequentialthinking({thought: "Revising thought 2: Actually, the new permission system uses has_permission() not has_role_on_account(). The RLS policy might be using the old function.", thoughtNumber: 4, totalThoughts: 6, nextThoughtNeeded: true, isRevision: true, revisesThought: 2, needsMoreThoughts: true})
  4. Conclude (final thought): sequentialthinking({thought: "Root cause identified: The RLS policy uses has_role_on_account() which checks system roles, but the user only has a custom role assigned. Need to update the policy to use has_permission() instead.", thoughtNumber: 6, totalThoughts: 6, nextThoughtNeeded: false})

Workflow 2: Architectural Decision

Trigger: User asks "should we use X or Y?", "what's the best approach for Z?", or there are multiple valid implementation strategies.

Steps

  1. Define the decision criteria (thought 1)
  2. Evaluate option A against criteria (thought 2)
  3. Evaluate option B against criteria (thought 3)
  4. Branch if a hybrid approach emerges (optional): sequentialthinking({thought: "What if we combine the service pattern from option A with the caching strategy from option B?", thoughtNumber: 4, totalThoughts: 6, nextThoughtNeeded: true, branchFromThought: 3, branchId: "hybrid-approach"})
  5. Recommend with trade-off summary (final thought)

Workflow 3: Multi-Factor Analysis

Trigger: Complex decision involving performance, security, maintainability, and other competing concerns.

Pattern

  • Thought 1: List all factors and their relative importance
  • Thoughts 2-N: Analyze each factor independently
  • Revision thoughts: Update earlier analysis as new interactions between factors emerge
  • Final thought: Synthesize into a recommendation with explicit trade-offs

Key Patterns

  • Start with an estimate of totalThoughts — 5 is a good default. Adjust with needsMoreThoughts: true if you need more.
  • Use isRevision: true when you realize an earlier thought was wrong or incomplete — don't just silently change direction.
  • Use branchFromThought to explore "what if?" alternatives without abandoning the main analysis.
  • Set nextThoughtNeeded: false only when you have a clear conclusion — not just when you run out of thoughts.
  • Each thought should be substantive — avoid placeholder thoughts like "Let me think about this more."

Troubleshooting

Reasoning Chain Gets Too Long

If you're past thought 10 and still going:

  1. Set nextThoughtNeeded: false and summarize what you know so far
  2. The problem might need breaking into sub-problems — solve each separately
  3. Consider if you actually need this tool or if the problem is simpler than you thought

Losing Track of the Thread

Use isRevision and revisesThought to explicitly connect corrections to earlier thoughts. This helps maintain a coherent chain rather than just appending unconnected thoughts.

Tool Seems Unnecessary for This Problem

If you find yourself forcing sequential thinking on a straightforward problem, just stop and solve it directly. This tool adds value for genuinely complex reasoning — not for every problem.

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

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

展示第三方安全扫描或审计结果

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

Codex

33.85%
按下载量换算67

Claude

33.46%
按下载量换算66

Cursor

19.86%
按下载量换算39

Gemini CLI

9.76%
按下载量换算19

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/darraghh1/my-claude-setup --skill sequential-thinking-mcp 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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

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