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culture-as-product-operating-system文化作为产品操作系统

Agent Skill

culture-as-product-operating-system 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。

总安装

16,274

周安装

736

GitHub Stars

2

下载量

8,875
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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:culture-as-product-operating-system(文化作为产品操作系统)
来源仓库:https://github.com/coowoolf/insighthunt-skills
仓库路径:skills/culture-as-product-operating-system
安装命令:
npx skills add https://github.com/coowoolf/insighthunt-skills --skill 'Culture-as-Product Operating System'
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/coowoolf/insighthunt-skills --skill 'Culture-as-Product Operating System'

简介

culture-as-product-operating-system 将企业文化视为面向员工的产品进行系统化运营。

  • 适用于团队规模扩张时的价值观传承与仪式化实践设计。
  • 提供 Stripe 运营原则等框架参考,平衡速度与透明度、行动与反思。
  • 包含健康度指标、反馈机制与进化节奏控制,防止文化僵化。
  • 实施前应诊断当前文化状态,避免盲目套用外部模型造成水土不服。

SKILL.md

Culture-as-Product Operating System

"Every company builds two products: one is the product they build for their customers, and the other is a product they build for their team. That's what culture is." — Dharmesh Shah

What It Is

Treat company culture as the "product" you build for employees (your customers). Just as you wouldn't freeze code on a product, you shouldn't freeze culture.

When To Use

  • Scaling beyond the founding team
  • When employee sentiment begins to drift
  • Culture feels like "HR fluff" or posters on walls
  • Need to evolve culture while preserving core values

The Operating System

┌─────────────────────────────────────────────────────┐
│              CULTURE-AS-PRODUCT OS                  │
├─────────────────────────────────────────────────────┤
│  INPUT: Employee Feedback (NPS surveys)             │
│     ↓                                               │
│  TRIAGE: Identify "bugs" in the culture             │
│     ↓                                               │
│  DECISION: Fix or mark "Works as Designed"          │
│     ↓                                               │
│  OUTPUT: Updated cultural practices                 │
├─────────────────────────────────────────────────────┤
│  FEDERAL LAWS: Non-negotiable core values           │
│  STATE LAWS: Team-specific adaptations              │
└─────────────────────────────────────────────────────┘

Core Principles

1. Run Employee NPS

Measure satisfaction quantitatively (0-10) and qualitatively (Why?).

2. Identify Bugs

Treat cultural complaints as "bugs" in the product. Acknowledge them publicly.

3. Fix or "Won't Fix"

Commit to fixing valid bugs, OR explicitly state "It works as designed" (e.g., "Yes, transparency is uncomfortable, but it's a feature, not a bug").

4. Federal vs. State Laws

  • Federal Laws: Non-negotiable core values (e.g., transparency)
  • State Laws: Team-level adaptations (e.g., Sales floor noise vs. Engineering quiet)

How To Apply

STEP 1: Measure Regularly
└── Quarterly eNPS surveys
└── Anonymous feedback channels

STEP 2: Triage at All-Hands
└── "Here are the bugs you reported..."
└── Public acknowledgment builds trust

STEP 3: Categorize Each Bug
└── Will Fix: Prioritize and timeline
└── Won't Fix: Explain why it's intentional
└── Feature Request: Add to backlog

STEP 4: Ship Updates
└── Announce culture changes like product releases
└── Measure impact in next survey

Common Mistakes

❌ Thinking the job is to preserve culture (it's to evolve it)

❌ Ignoring feedback because "culture can't be changed"

❌ Making everything a "Federal Law" (no team autonomy)

Real-World Example

HubSpot's transparency policy (making everyone an "insider") was a Federal Law, but seating arrangements evolved from lottery-based to team-based as the company scaled.


*Source: Dharmesh Shah, Lenny's Podcast*

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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

37.77%
按下载量换算3,352

Claude

29.09%
按下载量换算2,582

Cursor

20.96%
按下载量换算1,860

Gemini CLI

10.14%
按下载量换算900

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