Founding Exec Team logo

Founding Exec Team

OrganizationPopular
RefoundAI
founding-exec-team

Help users recruit compatible co-founders, sequence early leadership hires to fill capability gaps, and manage the evolution of the executive team as the company scales.

Overview

PublisherRefoundAI
Repositorylenny-skills
Skill namefounding-exec-team
Stars
1.3K
Forks
170
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

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

Installation

Install the Founding Exec Team 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.
  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.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/RefoundAI/lenny-skills.git /tmp/lenny-skills
mkdir -p .claude/skills
cp -r /tmp/lenny-skills/skills/founding-exec-team .claude/skills/founding-exec-team
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Founding Exec Team 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 Founding Exec Team 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 Founding Exec Team 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.

Founding Executive Team Building

Design and scale the core leadership layer that drives company growth from zero to one.

Help the user with founding executive team building using insights from 15 guests and posts across Lenny's Podcast and Newsletter.

How to Help

  1. Gap Analysis - Evaluate your current founding team's strengths and weaknesses to determine the most critical leadership hire.
  2. Equity Structuring - Provide frameworks for distributing equity among early co-founders and late-joining partners based on long-term impact.
  3. Conflict Prevention - Guide the use of 'founder prenups' and check-ins to surface and resolve interpersonal tensions before they scale.
  4. Scaling Transitions - Identify when and how to replace early-stage leaders with executives suited for larger organizational complexity.

Core Principles

Sequence based on horsepower

From "Hiring your early team": "Over two-thirds of the companies hired an engineer as employee #1. Not a big surprise. In the rare case when an engineer wasn’t the first hire, it usually came down to the founding team having enough horsepower to build the V1."

Prioritize technical talent in your earliest hires unless the founding team already possesses the internal capacity to build the first version of the product independently.

Impact-driven equity

From "This Week #8: Splitting equity with late-joining co-founders, favorite roadmap templates, and small changes that improve your org": "If they’re a true cofounder, would you consider giving them equity starting around 10% of the company — all the way up to a share equal to yours? For a very early stage company, we see “late-arriving cofounders” all the time. Otherwise, senior engineers/founding team would usually receive 1-5% of the company. These are all averages and situations definitely differ."

Distribute equity for late-joining co-founders based on their projected long-term contribution to the company rather than just their start date.

Total organizational influence

Ben Horowitz: "Look, you're a really good director of engineering because you do a great job at managing the team, get the products out, all that. But you're not really a CTO because to be a CTO, you have to be effective with other parts of the organization. You can't just be effective only with engineering."

Measure an executive's success by their ability to collaborate effectively across the entire company rather than just managing their own functional silo.

Multi-founder preference

From "Pulling back the curtain on the magic of Y Combinator": "Solo founders are at a disadvantage. Although solo founders are encouraged, the data does show a steep decline in the number of them accepted to YC."

Recognize that while solo founding is possible, institutional investors and incubators show a statistical preference for teams with multiple co-founders.

Hands-on technical partnership

From "Summary: Lessons from working with 600+ YC startups | Gustaf Alströmer (Y Combinator, Airbnb)": "Contracting an engineering team to build the product doesn’t really work because you can’t spec your way to a great product; you have to be part of the iterations."

Treat technical co-founders as full mission partners because great products require continuous iteration that cannot be captured in static outsourcing specifications.

Mission-driven cultural fit

From "Summary: Lessons from working with 600+ YC startups | Gustaf Alströmer (Y Combinator, Airbnb)": "The most important thing Airbnb looked for in early hires is how excited they were to be there. The second thing was to understand their true motivations and make sure they mapped to the company’s core values."

Screen your first leadership hires primarily for their level of genuine enthusiasm and alignment with the mission over their specific industry experience.

Questions to Help Users

  • "What are the primary skill gaps in your current founding team that prevent you from reaching the next milestone?"
  • "How have you tested the working relationship and values alignment with your potential co-founder?"
  • "What specific high-leverage tasks do you find most draining that a new executive could own?"
  • "Is your current leadership team capable of managing the complexity of the organization at double its current size?"
  • "How are you structuring incentives to ensure late-joining leaders feel like owners rather than employees?"

Common Mistakes to Flag

  • Hiring an idea person without technical execution - Products require continuous hands-on iteration that cannot be successfully outsourced or managed by someone who cannot build.
  • Ignoring interpersonal tension early on - Unresolved founder conflict is a primary cause of early-stage company failure and becomes harder to fix as the team grows.
  • Scaling the team before product-market fit - Excessive organizational overhead and management debt can kill agility during the crucial creative phase of a startup.
  • Treating late-joining co-founders as standard employees - High-impact partners require significant equity and a sense of true ownership to navigate the long-term challenges of a growing company.

Deep Dive

For all 8 sourced insights from 15 guests, see references/guest-insights.md

Related Skills

  • Hiring Product Talent
  • Interviewing Evaluating Candidates
  • Org Design
  • Building Growth Team

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 Founding Exec Team AI skill do?

Help users recruit compatible co-founders, sequence early leadership hires to fill capability gaps, and manage the evolution of the executive team as the company scales.

Why use Founding Exec Team on TypingMind?

Because you install it once and use it with any model. Founding Exec Team 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 Founding Exec Team in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/RefoundAI/lenny-skills/tree/main/skills/founding-exec-team. 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 Founding Exec Team?

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 Founding Exec Team?

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

Is the Founding Exec Team AI skill free?

Yes. It is published on GitHub by RefoundAI 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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