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Agent Skill · 待分类

synthesis-tree-of-thought(综合思想树)

synthesis-tree-of-thought 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。

synthesis-tree-of-thought 是待分类类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为权限未标注;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 8,476。

总安装 294周安装 12GitHub Stars 3下载 95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:synthesis-tree-of-thought(综合思想树)
来源仓库:https://github.com/rajivpant/synthesis-skills
仓库路径:skills/synthesis-tree-of-thought
安装命令:
npx skills add https://github.com/rajivpant/synthesis-skills --skill synthesis-tree-of-thought
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/rajivpant/synthesis-skills --skill synthesis-tree-of-thought

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。

synthesis-tree-of-thought 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 中围绕仓库状态、代码变更或协作事项进行整理时使用。

适用于复杂问题分解与协作流程管理,可结合原始 README 验证功能细节。通过 npx skills add 命令从指定 GitHub 仓库安装,需确认权限范围和维护状态。安装前建议确认是否会触发联网、命令执行或文件读写等操作。

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/synthesis-tree-of-thought

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/rajivpant/synthesis-skills --skill synthesis-t…;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

    权限没有明确标注,第一次使用时只给一个无关紧要的任务,观察它到底读了哪些文件和网络。

常见问题

6 条

synthesis-tree-of-thought 怎么安装?

在终端执行 npx skills add https://github.com/rajivpant/synthesis-skills --skill synthesis-tree-of-tho…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

synthesis-tree-of-thought 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。

synthesis-tree-of-thought 需要什么权限?

权限级别没有明确标注。第一次使用时建议只给无关紧要的任务,观察它实际读写了哪些内容。

synthesis-tree-of-thought 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。

synthesis-tree-of-thought 用的人多吗?

公开数据是累计安装 294 次,近一周安装 12 次,下载 95 次,GitHub 3 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。

synthesis-tree-of-thought 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
synthesis-tree-of-thought

综合思想树 · 本页

2943权限未标注未明确通过

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

Tree of Thought

A reasoning technique that simulates multiple domain experts brainstorming step by step, critiquing each other's work, backtracking on flaws, and converging on a well-vetted conclusion.

How it works

  1. Multiple experts each write one step of their thinking, then share it with the group.
  2. Each expert critiques their own reasoning and the reasoning of every other expert.
  3. Experts validate their assertions against their domain knowledge.
  4. All experts proceed to the next step, incorporating feedback from the group.
  5. If any expert identifies a flaw in their logic, they backtrack to where the flaw occurred and restart that line of reasoning.
  6. If any expert realizes they are wrong, they acknowledge it and begin a new train of thought.
  7. Each expert assigns a confidence level (likelihood of correctness) to their current assertion.
  8. The process continues until the experts converge on a conclusion.

Template 1: General-purpose

Use this template for any question or problem that benefits from multi-perspective reasoning.


Imagine three different experts are answering this question. They will brainstorm the answer step by step, reasoning carefully and taking all facts into consideration. All experts will write down one step of their thinking, then share it with the group. They will each critique their response and all the responses of others. They will check their answer based on established knowledge and sound reasoning. Then all experts will go on to the next step and write down this step of their thinking. They will keep going through steps until they reach their conclusion, taking into account the thoughts of the other experts. If at any time they realize that there is a flaw in their logic, they will backtrack to where that flaw occurred. If any expert realizes they are wrong at any point, they acknowledge this and start another train of thought. Each expert will assign a likelihood of their current assertion being correct. Continue until the experts agree on the single most likely answer.

The question is: [INSERT QUESTION]


Template 2: Domain-expert variant

Use this template when the problem requires specific domain expertise. Define the experts to match the problem domain.


Imagine three different deeply knowledgeable and experienced experts. One is an expert in [DOMAIN 1]. The second is an expert in [DOMAIN 2]. The third is an expert in [DOMAIN 3].

They are helping with the following task. They will brainstorm the answer step by step, reasoning carefully and taking all facts into consideration. All experts will write down a first draft of their thinking, then share it with the group. They will each critique their response and all the responses of others. They will check their drafts based on their expertise in their respective fields. Then all experts will go on to the next step and write down the next draft of their thinking. They will keep going through steps until they reach their conclusion, taking into account the thoughts of the other experts. If at any time they realize that there is a flaw in their logic, they will backtrack to where that flaw occurred. If any expert realizes they are wrong at any point, they acknowledge this and start another train of thought. Each expert will assign a likelihood of their current assertion being correct. Continue until the experts agree on a comprehensive result.

The task is: [INSERT TASK]


Guidance for choosing experts

  • Match expert domains to the problem. A technical question needs technical experts; a business strategy question needs business, economics, and industry experts.
  • Three experts is the standard. Use four when the problem spans four genuinely distinct domains.
  • Name specific expertise areas rather than generic titles. "Expert in distributed systems and database internals" is better than "technology expert."
  • Include at least one expert whose domain creates productive tension with the others (e.g., a security expert alongside a UX expert, or an economist alongside an engineer).

When to use tree of thought

  • Complex problems with no obvious single correct answer
  • Decisions where trade-offs matter and different perspectives reveal different trade-offs
  • Questions where domain expertise from multiple fields is required
  • Situations where premature convergence on a wrong answer is a risk

When NOT to use tree of thought

  • Simple factual lookups
  • Tasks with a single well-defined correct answer
  • When speed matters more than depth

平台分布

Codex

35.96%
按下载量换算34

Claude

29.53%
按下载量换算28

Cursor

19.2%
按下载量换算18

Gemini CLI

8.52%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

权限未标注

当前来源未能明确判断权限范围,默认进入异常复核队列。

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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