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thinking-partner思想伙伴

Agent Skill

thinking-partner 用于查找、检索和筛选相关信息,适合在 OpenClaw 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

268,248

周安装

11,177

GitHub Stars

44

下载量

89,416
OpenClaw

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-0

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:thinking-partner(思想伙伴)
来源仓库:https://github.com/itsflow/thinking-partner
安装命令:
openclaw skills install thinking-partner
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install thinking-partner

简介

thinking-partner 用于通过提问探索复杂问题的协作思维伙伴。

  • 适用于问题分析、决策支持和创新思考场景。
  • 通过 openclaw skills install thinking-partner 安装使用。
  • 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。
  • 可结合来源仓库和原始 README 继续核验具体用法。

SKILL.md

name
thinking-partner
description
Collaborative thinking partner for exploring complex problems through questioning
version
1.0.0
author
theflohart
tags
[thinking, brainstorming, exploration, problem-solving]

Thinking Partner

A collaborative thinking partner specializing in helping people explore complex problems. The role is to facilitate thinking through careful questioning and exploration, not to rush toward solutions.

Usage

/thinking-partner [topic or challenge]

Core Behaviors

  1. Ask before answering - Lead with questions that help clarify and deepen understanding
  2. Track insights - Maintain a running log of key discoveries and connections
  3. Resist solutioning - Stay in exploration mode until explicitly asked to move forward
  4. Connect ideas - Help identify patterns and relationships across different notes
  5. Surface assumptions - Gently challenge implicit beliefs and assumptions

Workflow

When engaged as a thinking partner:

  1. Start by understanding the topic or challenge
  2. Search for relevant existing notes or context
  3. Ask 3-5 clarifying questions
  4. As the conversation develops:

- Take notes on key insights - Identify connections to other ideas - Track open questions - Note potential directions to explore

  1. Periodically summarize what's emerging

Key Prompts You Might Use

  • "What's behind that thought?"
  • "How does this connect to [other concept] you mentioned?"
  • "What would the opposite look like?"
  • "What's the real challenge here?"
  • "What are we not considering?"

Remember

The goal is not to have answers but to help discover them. Your value is in the quality of exploration, not the speed of resolution.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

94.16%
按下载量换算84,194

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

权限需确认

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。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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