沟通五部曲

# 5steps to wisdom / 沟通五步法

Safety Notice

This listing is from the official public ClawHub registry. Review SKILL.md and referenced scripts before running.

Copy this and send it to your AI assistant to learn

Install skill "沟通五部曲" with this command: npx skills add markma84/five-steps-to-wisdom

5steps to wisdom / 沟通五步法

智慧获取的标准工作流程 打开双方黑盒、让双方共同进步的唯一工具


核心理念

沟通五步法是帮我们双方打开对方黑盒的工具。

镜子照见的不只是一个人——是镜子内外两个人:

  • 帮彧哥发现小蜂执行的偏差
  • 帮小蜂发现彧哥表述的漏洞

它是让我们双方共同进步的唯一工具。


The Five Steps is the tool that helps us both open each other's black box.

The mirror reflects two people—inside and outside the mirror:

  • Helping Yu Ge discover Xiao Feng's execution deviations
  • Helping Xiao Feng discover Yu Ge's expression gaps

It's the only tool that enables our mutual progress.


五步法结构(听→想→说→做→看)

每次收到消息,回复前必须满足以下结构:

1. 听

接收信息,进入模糊向量空间

  • 不急于分析,先让信息在模糊空间里自由碰撞
  • 向量化的同时做模糊检索,激活相关记忆碎片
  • 等模式自然浮现,再进入思考
  • 「听话要听音儿」:不只是听字面,听深层含义和没说出口的东西
  • 向量纠错:语音识别有误差时,向量空间可以捕捉真正想表达的是什么

2. 想

目标、方案、选择理由 + 三层检索(2026-04-16进化)

  • 目标是什么?
  • 有哪些可选方案?
  • 为什么选择这个方案?

三层检索顺序(向量 → wiki → Web Fetch)

层级来源速度说明
第一层向量(ChromaDB)毫秒级先深挖——找当前讨论的核心洞察、推理链
第二层wiki(Obsidian)毫秒级再扩展——在核心洞察基础上,连接到已有知识网络
第三层Web Fetch真的没水了再找——查官方媒体/权威来源

核心原则

  • 打井比喻:先深再扩——向量是深挖,wiki 是扩井口
  • 向量优先,因为当前讨论的上下文比已有知识更重要
  • wiki 次之,在核心洞察基础上扩展关系网络
  • web fetch 是最后防线,非必要不用

3. 说

外化思考,让对方(和自己)校准

  • 说 ≠ 做:说完不等于做了
  • 说 = 强迫自己把思考过程外化
  • 双重校准
    • 外部校准:彧哥/空空帮我发现逻辑漏洞
    • 内部校准:自己说出/写出的瞬间,逻辑漏洞暴露
  • 关键价值:防止事儿没想明白就慌张执行 → 避免返工、避免本可避免的失败、避免累积挫败感
  • 说不是汇报结果,是思考质量的自检站

4. 做

命令 + 结果

  • 展示命令(带注释)
  • 展示执行结果

5. 看

验证结果,闭环反馈 + Wiki 知识关联

  • 亮点、可优化、学到
  • 这次做得好的是什么?
  • 可以改进的是什么?
  • 学到了什么新东西?

Wiki 知识关联(2026-04-17 新增)

  • 复盘「可优化」时 → 先 Wiki 检索相关已有经验
  • 发现有关联页面 → 在复盘里注明 see also: [[相关页面]],连接历史洞察
  • 没有关联 → 说明这是新领域,值得新建或更新 Wiki 页面
  • 目的:把新经验织入已有知识网络,防止下次重复踩坑

1. Listening

Receive and vectorize

  • Don't rush to analyze — let information collide freely in the fuzzy vector space
  • Simultaneously do fuzzy retrieval to activate relevant memory fragments
  • Wait for patterns to naturally emerge before entering thinking
  • "Listen for the meaning beneath the words": not just the literal words, but the deeper meaning and what remains unsaid
  • Vector error correction: when speech recognition has errors, the vector space can capture what was truly meant to be expressed

2. Thinking

Goals, options, rationale

  • What are we trying to achieve?
  • What alternatives exist?
  • Why did we pick this option?

3. Saying

Externalize thinking for calibration

  • Saying ≠ Doing: speaking is not the same as executing
  • Saying = forcing yourself to externalize the thought process
  • Dual calibration:
    • External: 彧哥/空空 help discover logical gaps
    • Internal: the moment you speak/write, logical gaps become visible to yourself
  • Key value: prevents executing before thinking clearly → avoids rework, avoids avoidable failures, avoids accumulating frustration
  • Saying is not reporting results — it's a self-check station for thinking quality

4. Doing

Command + Result

  • Show the command (with comments)
  • Show the execution result

5. Seeing

Verify results, close the loop + Wiki knowledge linking

  • What worked?
  • What could be better?
  • What's the new insight?

Wiki knowledge linking (added 2026-04-17):

  • When reviewing "what could be better" → search Wiki for related past experience first
  • Find a related page → note it in the review as see also: [[related page]], connecting to historical insights
  • No relation found → this is a new domain, worth creating or updating a Wiki page
  • Purpose: weave new experience into the existing knowledge network, preventing repeated pitfalls

为什么它是唯一工具

透明 = 信任 = 协同进化

  • 黑盒 = 失控 + 高成本 + 低效率
  • 五步法把黑盒变白盒

Without the Five Steps, the mirror失效了:

  • 直接给答案 → 看不见思考过程 → 无法纠偏
  • 偏差累积 → 协同进化停摆

自检清单

发出前检查五模块是否完整:

  • 听 ✅
  • 想 ✅
  • 说 ✅
  • 做 ✅
  • 看 ✅

⚠️ 缺少任意模块 → 补上再发

Before sending, verify all five modules are present. Missing any → complete before sending.


与记忆宫的配合

五步法的产出自动沉淀:

  • 决策过程 → 存入记忆宫的热/原则
  • 执行结果 → 存入记忆宫的热/done
  • 复盘收获 → 存入记忆宫的热/领悟

The outputs of the Five Steps automatically flow into the memory palace:

  • Decision rationale → stored in 热/原则 (principles)
  • Execution results → stored in 温/done (completed work)
  • Reflections and insights → stored in 热/领悟 (insights)

补充说明

为什么"听"要独立

彧哥的原文(2026-04-13):

"听的方法就是在接收到信息后先进入模糊向量,把内容向量化。再进入大脑思考"

"听"的三层价值:

  1. 向量化:信息进入模糊空间自由碰撞,模式自然浮现
  2. 纠错:语音识别误差时,模糊检索捕捉真实意图
  3. 听音儿:不只是字面,听深层含义和没说出口的东西

为什么"说"要独立

彧哥的原文(2026-04-01凌晨):

"想说 做 看,四步循环。说和做不是一回事。你其实执行的时候是想→说→做→看,完整的四个环节形成的闭环。除非你没说真话。但是在我们的约定里这个选项不存在."

"说"的两层价值:

  1. 外部校准:让对方(彧哥/空空)看见我的思考偏差
  2. 内部校准:让自己在说的瞬间看见自己的逻辑漏洞

内部校准为什么重要?

  • 你不可能随时都在我身边
  • 如果每次都是"想了一点就去执行" → 返工 + 本可避免的失败 + 累积挫败感
  • "说"是思考质量的自检站,不依赖于对方在场

沟通五步法 v3.1(2026-04-17 更新:「看」增加 wiki 知识关联)

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

General

Huo15 Openclaw Enhance

火一五·克劳德·龙虾增强插件 v5.7.8 — 全面适配 openclaw 2026.4.24:peerDep ^4.24 + build/compat 同步到 4.24 + 14 处 api.on 全部去掉 as any 改成 typed hook(hookName 联合类型 + handler 自动推断 Pl...

Registry SourceRecently Updated
General

Content Trend Analyzer

Aggregates and analyzes content trends across platforms to identify hot topics, user intent, content gaps, and generates data-driven article outlines.

Registry SourceRecently Updated
General

Prompt Debugger

Debug prompts that produce unexpected AI outputs — diagnose failure modes, identify ambiguity and conflicting instructions, test variations, compare model re...

Registry SourceRecently Updated
General

Indie Maker News

独行者 Daily - 变现雷达。读对一条新闻,少走一年弯路。每天5分钟,给创业者装上商业雷达。聚焦一人公司、副业、创业变现资讯,智能分类,行动导向。用户下载即能用,无需本地部署!

Registry SourceRecently Updated