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 first-b2b-customersgit 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/first-b2b-customers)<a href="https://agentmods.dev/skills/refoundai/lenny-skills/first-b2b-customers"><img src="https://agentmods.dev/badge/skills/refoundai/lenny-skills/first-b2b-customers/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/first-b2b-customers"><img src="https://agentmods.dev/badge/skills/refoundai/lenny-skills/first-b2b-customers.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 | $0.00051 | $0.01402 |
| Opus 5 | $0.00026 | $0.00701 |
| Sonnet 5 | $0.00010 | $0.00280 |
| Haiku 4.5 | $0.00005 | $0.00140 |
Grade A, and why
first-b2b-customers 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 11d 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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Acquiring First B2B Customers
Transition from zero to your first ten paying customers through manual hustle and high-trust relationships.
Help the user with acquiring first b2b customers using insights from 7 guests and posts across Lenny's Podcast and Newsletter.
How to Help
- Assess network and trust - Evaluate the user's existing connections to identify the highest-probability early adopters.
- Refine the initial pitch - Help craft messages for cold outreach or network requests that emphasize advice-seeking and problem-solving.
- Design the partner program - Guide the creation of a design partner framework to co-develop features with early users.
- Plan the manual rollout - Strategize high-touch onboarding and support sequences to ensure initial customer success.
Core Principles
Hyper-specific niche focus
Ben Williams: "They started with a really narrow, early focus. It was a single persona, single context, single use case, and what that meant for Snyk was developers building applications using Node.js who wanted to ensure that the open source dependencies they were pulling into their apps were secure."
Achieve early traction by solving a single problem for a narrow persona before expanding to the wider market.
Founder-led sales mastery
Sri Batchu: "My view is you start off with founder-led sales, the early team needs to know how to actually sell. Then you hire your first couple of salespeople, then you start some very low cost targeted marketing efforts. So whether it's content, community, small scale events, and then PR, after all of that is when you start paid and brand effort and then SEO probably start around the same time that you start paid marketing efforts. The reason for the progression the way I've described it is the channels get more expensive as you go farther along and they get more effective as you understand more about your customers."
Master the sales process manually as a founder to build deep customer knowledge before attempting to scale or hire a sales team.
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.
- 11d ago First seen · 79 lines · 51 tokens per session scan A c99b5c08c13f
first-b2b-customers is a skill published in the GitHub repository RefoundAI/lenny-skills (1,318 stars, last pushed 1mo ago), licensed MIT. It adds 51 tokens to every session and 1,402 once invoked, about $0.0003 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.