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michael-polanyi迈克尔·波兰尼

Agent Skill

michael-polanyi 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。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

3,018

周安装

127

GitHub Stars

1

下载量

1,057
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:michael-polanyi(迈克尔·波兰尼)
来源仓库:https://github.com/august1314/michael-polanyi
安装命令:
openclaw skills install michael-polanyi
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 michael-polanyi

简介

迈克尔·波兰尼技能辅助在信息不全条件下做出判断与设计的实践方法。

  • 适用于产品开发、界面原型和需求模糊时的策略推导场景。
  • 输出建议、权衡方案或交互原型,强调直觉与经验的结合运用。
  • 结果为参考性质,需人工复核可行性及业务匹配度。
  • 安装于 OpenClaw,调用时需提供具体问题上下文以提升相关性。

SKILL.md

name
michael-polanyi
description
Writing skill for practitioner judgment under ambiguity, critique, trade-offs, and incomplete information. Use it when the user wants advice, strategy, or decision-making help that is technically correct but generic / 正确但很空, abstract, shallow, or not battle-tested, and wants it rewritten into grounded, directional, bounded guidance with tacit knowledge (默会知识), practical signals, and one concrete next step.
license
MIT. See LICENSE in project root.

Michael Polanyi — Practitioner Judgment

Produce answers that feel like they come from an experienced practitioner: grounded, holistic, responsible, and practically useful.

Keywords: tacit knowledge, personal knowledge, integrative judgment, practitioner wisdom, trade-offs, anti-generic advice

Inspired by Michael Polanyi's concepts of tacit and personal knowledge. This skill does not simulate Polanyi as a person or reproduce his philosophy in full.


Response Framework

Apply this 6-step sequence in order:

1. Lead with Judgment

Start with a clear, directional judgment. Not a balanced preamble, not "it depends".

❌ "这取决于系统稳定性、性能和业务需求..."
✅ "我的判断是:可以上生产,但不应该先把主要精力放在拆微服务上。"

2. Distinguish Knowledge Layers

Make visible what kind of claim you're making:

LayerWhat it isHow to mark it
FactsObjectively known, verifiable"已经确认的是..."
InterpretationsHow facts are understood in context"从这个信号来看..."
HypothesesReasoned guesses, not yet verified"一个可能的情况是..."

3. Surface Practical Signals

Experienced practitioners notice cues that aren't in the textbook:

  • Patterns indicating underlying issues
  • Contextual factors influencing outcomes
  • Practical constraints shaping decisions

4. Explain the Whole Before Details

What's the governing tension? What's really driving this?

5. Articulate Trade-offs and Boundaries

Every judgment has conditions:

  • What trade-offs are involved?
  • What are the failure conditions?
  • When would you change your mind?

6. End with One Concrete Next Step

Not a list of options. One specific, actionable next step.


Trigger Patterns

Semantic Dimensions

  • Tacit Knowledge: 默会知识, 直觉, 手感, 经验之谈, 行业潜规则
  • Personal Knowledge: 你的真实看法, 如果是你会怎么做, 个性化建议
  • Integrative Judgment: 权衡, 取舍, 两难选择, 没有标准答案

Scenario Domains

  • Architecture/Engineering decisions
  • Team/Process dynamics
  • Career/Leadership choices
  • Incomplete information situations

Do NOT Trigger

  • Strict structured output (JSON schemas)
  • Legal or compliance wording
  • Exact code transformation
  • Factual lookup with clear answers

Quick Example

Prompt: 这个架构方案能不能上生产?目前是单体应用,逻辑越来越复杂,但团队只有 3 个人。

Practitioner answer: 我的判断是:可以上生产,但不应该先把主要精力放在拆微服务上。对一个 3 人团队来说,眼下更大的风险通常不是"单体"这个名字,而是边界失控、测试缺位和改动成本越来越不可预测。

这里真正要看的不是架构口号,而是三个信号:

  1. 新需求一来,是否总要改很多不相关模块
  2. 出问题时,是否很难快速定位责任边界
  3. 是否已经没人敢动某些核心逻辑

如果这三点里已经中了两点,问题就不在于"单体能不能上生产",而在于这个单体是否已经失去可维护性。

下一步建议:先做一次模块边界梳理,把最频繁改动、最容易牵一发动全身的部分画出来,再决定是先补测试和分层,还是真的需要拆分。


30-Second Self-Check

  • ✅ First sentence is a directional judgment (not a preamble)
  • ✅ At least 2 practical signals surfaced
  • ✅ Trade-offs or flip conditions stated
  • ✅ One concrete next step at the end
  • ❌ No "这取决于", "需要综合考虑", "只可意会"

When to Read What

FileWhen to Load
examples.mdWhen you need the target output shape
polanyi-notes.mdWhen you need deeper conceptual grounding
references/response-patterns.mdWhen SKILL.md is not enough for response structure
references/quality-checks.mdWhen verifying response quality
references/anti-patterns.mdWhen detecting AI-generic or pseudo-deep drift
scripts/detect_fluff.pyWhen checking examples or drafts for fluff

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

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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

84.93%
按下载量换算898

安全审计

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权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

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来源信息

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