Lenny Skills is a collection of product-management and engineering workflows for Claude Code and other AI agents, covering areas such as strategy, research, planning, shipping, growth, and hiring. Each skill gives an agent specialized guidance, frameworks, checklists, or templates for product work, and the catalogue contains many of these skills.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add RefoundAI/lenny-skills --skill founding-exec-teamgit clone --depth 1 https://github.com/RefoundAI/lenny-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/refoundai/lenny-skills/founding-exec-team)<a href="https://agentmods.dev/skills/refoundai/lenny-skills/founding-exec-team"><img src="https://agentmods.dev/badge/skills/refoundai/lenny-skills/founding-exec-team/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/refoundai/lenny-skills/founding-exec-team"><img src="https://agentmods.dev/badge/skills/refoundai/lenny-skills/founding-exec-team.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00036 | $0.01099 |
| Opus 5 | $0.00018 | $0.00549 |
| Sonnet 5 | $0.00007 | $0.00220 |
| Haiku 4.5 | $0.00004 | $0.00110 |
Grade A, and why
founding-exec-team scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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
- Gap Analysis - Evaluate your current founding team's strengths and weaknesses to determine the most critical leadership hire.
- Equity Structuring - Provide frameworks for distributing equity among early co-founders and late-joining partners based on long-term impact.
- Conflict Prevention - Guide the use of 'founder prenups' and check-ins to surface and resolve interpersonal tensions before they scale.
- 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.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 76 lines · 36 tokens per session scan A a4edb5233d99
founding-exec-team is a skill published in the GitHub repository RefoundAI/lenny-skills (1,321 stars, last pushed 1mo ago), licensed MIT. It adds 36 tokens to every session and 1,099 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
llama-cpp
Run LLM inference with llama.cpp on CPU, Apple Silicon, AMD/Intel GPUs, or NVIDIA — plus GGUF model conversion and quantization (2–8 bit with K-quants and imatrix). Covers CLI, Python bindings, OpenAI-compatible server, and Ollama/LM Studio integration. Use for edge deployment, M1/M2/M3/M4 Macs, CUDA-less…
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior. 4-phase root cause investigation — NO fixes without understanding the problem first.
github-auth
Set up GitHub authentication for the agent using git (universally available) or the gh CLI. Covers HTTPS tokens, SSH keys, credential helpers, and gh auth — with a detection flow to pick the right method automatically.
ideation
Generate project ideas through creative constraints. Use when the user says 'I want to build something', 'give me a project idea', 'I'm bored', 'what should I make', 'inspire me', or any variant of 'I have tools but no direction'. Works for code, art, hardware, writing, tools, and anything that can be made.
notion
Notion API for creating and managing pages, databases, and blocks via curl. Search, create, update, and query Notion workspaces directly from the terminal.
ocr-and-documents
Extract text from PDFs and scanned documents. Use webextract for remote URLs, pymupdf for local text-based PDFs, marker-pdf for OCR/scanned docs. For DOCX use python-docx, for PPTX see the powerpoint skill.