organizational-design

refoundai/lenny-skills · updated Apr 8, 2026

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$npx skills add https://github.com/refoundai/lenny-skills --skill organizational-design
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summary

Frameworks for designing organizational structures around speed versus coherence trade-offs.

  • Contrasts centralized models (Apple: coherent user experience through central coordination) with decentralized models (Amazon: parallel execution through autonomous teams with minimal dependencies)
  • Emphasizes functional structures over divisional ones to reduce management layers, restore startup speed, and keep leaders close to actual work
  • Guides users through context discovery, trade-off ide
skill.md

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
how to use organizational-design

How to use organizational-design on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add organizational-design
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/refoundai/lenny-skills --skill organizational-design

The skills CLI fetches organizational-design from GitHub repository refoundai/lenny-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/organizational-design

Reload or restart Cursor to activate organizational-design. Access the skill through slash commands (e.g., /organizational-design) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.538 reviews
  • Arya Bhatia· Dec 24, 2024

    Keeps context tight: organizational-design is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Hiroshi Lopez· Dec 24, 2024

    Registry listing for organizational-design matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Charlotte Harris· Nov 15, 2024

    organizational-design is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Hassan Flores· Nov 15, 2024

    Solid pick for teams standardizing on skills: organizational-design is focused, and the summary matches what you get after install.

  • William Khan· Oct 6, 2024

    Useful defaults in organizational-design — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Hana Mensah· Oct 6, 2024

    We added organizational-design from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Hiroshi Liu· Sep 17, 2024

    organizational-design is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Meera Sharma· Sep 13, 2024

    Registry listing for organizational-design matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Jin White· Sep 13, 2024

    Keeps context tight: organizational-design is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Yash Thakker· Sep 1, 2024

    Useful defaults in organizational-design — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

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