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 acquisition-channelsgit 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/acquisition-channels)<a href="https://agentmods.dev/skills/refoundai/lenny-skills/acquisition-channels"><img src="https://agentmods.dev/badge/skills/refoundai/lenny-skills/acquisition-channels/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/acquisition-channels"><img src="https://agentmods.dev/badge/skills/refoundai/lenny-skills/acquisition-channels.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 | $0.00028 | $0.01764 |
| Opus 5 | $0.00014 | $0.00882 |
| Sonnet 5 | $0.00006 | $0.00353 |
| Haiku 4.5 | $0.00003 | $0.00176 |
Grade A, and why
acquisition-channels 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 — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Acquisition Channel Strategy
Identify, test, and scale the distribution engines that drive sustainable growth.
Help the user with acquisition channel strategy using insights from 18 guests and posts across Lenny's Podcast and Newsletter.
How to Help
- Identify distribution advantages - Use frameworks to determine which of the seven proven strategies align with your product and target audience.
- Audit channel health - Evaluate if existing channels are reaching saturation and identify the signals for when to expand to new platforms.
- Optimize content strategy - Map content production to specific distribution goals like search intent or viral social hooks.
- Sequence growth hiring - Determine the right time to hire growth versus sales leaders based on your primary revenue motion.
Core Principles
Seek the platform trifecta
Adam Grenier: "The first is really understanding if there is an overlap between what the customers need is, what your company's goals are, and what the channel actually does really well."
Success requires finding the intersection between specific customer needs, your company goals, and the unique functional strengths of the platform.
Exploit distribution shifts
Brian Balfour: "There's multiple ways that this can happen, but one of the major ways, one of the major, major ways that we always see is that this can happen when new distribution platforms emerge, because when new distribution platforms emerge, startups are usually the fastest to take advantage of them. It's slower for the incumbents to move. It gives startups this opportunity essentially to play this game."
Startups achieve escape velocity by identifying and moving into new channels, such as AI platforms, before established incumbents can react.
Apply product rigor to content
Camille Ricketts: "The way that you think about product market fit, you have to think about content market fit. So even though content feels like it's running adjacent to the actual product that you're putting out there, you still have to think about who is my audience? Who is the audience that I really want to have? Who is the audience that is going to be drawn to this most?"
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 · 106 lines · 28 tokens per session scan A d9f74016275a
acquisition-channels is a skill published in the GitHub repository RefoundAI/lenny-skills (1,318 stars, last pushed 1mo ago), licensed MIT. It adds 28 tokens to every session and 1,764 once invoked, about $0.0001 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.