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Organizational Design

Community
cnfeat
organizational-design

Help users design effective organizational structures. Use when someone is thinking about team structure, deciding between functional vs. divisional models, planning a reorg, or figuring out how to structure product teams.

Overview

Publishercnfeat
Repositorytop-pm-skills
Skill nameorganizational-design
Stars
55
Forks
6
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by cnfeat on GitHub. Read the source before you install it.

Installation

Install the Organizational Design AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/cnfeat/top-pm-skills/tree/main/参考skill/lenny-skills-main%20(2)/lenny-skills-main/skills/organizational-design
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Use it in TypingMind

Enable Organizational Design in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Organizational Design on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Organizational Design is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Organizational Design

Help the user design effective organizational structures using frameworks from 2 product leaders.

How to Help

When the user asks for help with organizational design:

  1. Understand their context - Ask about their current structure, company stage, what problem they're trying to solve, and what trade-offs they're willing to make
  2. Identify the core trade-off - Help them see the spectrum between centralized (Apple-style) and decentralized (Amazon-style) models
  3. Evaluate options - Walk through the implications of different structures for speed, coherence, and cross-team dependencies
  4. Guide implementation - Help them think through how to transition to a new structure

Core Principles

The fundamental trade-off: speed vs. coherence

Gustav Soderström: "On one spectrum, you have Amazon - minimize dependencies so you can run in parallel. On the other, you have Apple - centrally organized close to a single individual." Amazon optimizes for speed through autonomous teams with minimal dependencies. Apple optimizes for coherent user experience through central coordination. Neither is universally better - choose based on what matters most for your product.

Functional models can restore startup speed

Brian Chesky: "We went to a functional model. We went back to a startup." Airbnb eliminated divisional structures and management layers that separated leaders from the work. Functional models concentrate expertise and reduce the "telephone game" between executives and ICs.

Eliminate managers who don't know the work

Brian Chesky's restructuring removed "people managers" who couldn't do the work themselves. Leaders should have enough context to make decisions, not just manage reports. If a manager can't review the actual output, the structure is broken.

Structure follows strategy

The right org structure depends on what you're optimizing for. If you need rapid, parallel execution on independent initiatives: decentralize. If you need a tightly integrated product experience: centralize.

Questions to Help Users

  • "What problem are you trying to solve with this restructuring?"
  • "Do you optimize more for speed of independent teams, or coherence across the product?"
  • "How many layers are between your executives and the people doing the work?"
  • "Can your managers actually review and understand the output of their teams?"
  • "What are the biggest coordination failures you're experiencing today?"

Common Mistakes to Flag

  • Reorging without a clear problem - Structure changes are disruptive. Be clear about what specific problem you're solving
  • Copying another company's structure - Amazon's structure works for Amazon's strategy. Make sure you're choosing based on your needs, not prestige
  • Too many management layers - Every layer adds latency and information loss. Minimize distance between decision-makers and work
  • Managers who can't do the work - If leaders don't understand the output, they can't make good decisions about it

Deep Dive

For all 2 insights from 2 guests, see references/guest-insights.md

Related Skills

  • Building Team Culture
  • Organizational Transformation
  • Managing Up
  • Delegating Work

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Organizational Design AI skill do?

Help users design effective organizational structures. Use when someone is thinking about team structure, deciding between functional vs. divisional models, planning a reorg, or figuring out how to structure product teams.

Why use Organizational Design on TypingMind?

Because you install it once and use it with any model. Organizational Design is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Organizational Design in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cnfeat/top-pm-skills/tree/main/参考skill/lenny-skills-main%20(2)/lenny-skills-main/skills/organizational-design. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Organizational Design?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Organizational Design?

As many as you like. As long as a model supports skills, you can use Organizational Design with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Organizational Design AI skill free?

Yes. It is published on GitHub by cnfeat under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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