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 referrals-word-of-mouthgit 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/referrals-word-of-mouth)<a href="https://agentmods.dev/skills/refoundai/lenny-skills/referrals-word-of-mouth"><img src="https://agentmods.dev/badge/skills/refoundai/lenny-skills/referrals-word-of-mouth/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/referrals-word-of-mouth"><img src="https://agentmods.dev/badge/skills/refoundai/lenny-skills/referrals-word-of-mouth.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 | $0.01407 |
| Opus 5 | $0.00014 | $0.00704 |
| Sonnet 5 | $0.00006 | $0.00281 |
| Haiku 4.5 | $0.00003 | $0.00141 |
Grade A, and why
referrals-word-of-mouth 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 9d 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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Referrals and Word-of-Mouth
Turn user satisfaction into a high-leverage growth engine through organic advocacy and structured referral loops.
Help the user with referrals and word-of-mouth using insights from 13 guests and posts across Lenny's Podcast and Newsletter.
How to Help
- Assess readiness - Determine if the product has sufficient organic word-of-mouth and retention to support a formal referral program.
- Identify viral loops - Map out the product natural social actions to choose the right type of virality such as word-of-mouth, invitation, or experiential.
- Design incentives - Craft a reward structure that balances selfish, altruistic, and FOMO motivations within CAC limits.
- Optimize and scale - Measure the referral funnel and place touchpoints throughout the user journey to maximize discoverability.
Core Principles
Remarkableness as a Core Value
Rahul Vohra: "It is word of mouth. It is the virality you can't measure that isn't a mechanic that isn't in a feature. It is when one user spontaneously tells another user about your product."
Sustainable growth is earned through extraordinary quality and delight that makes a product worthy of spontaneous attention rather than temporary gimmicks.
The 10x Performance Threshold
Nilan Peiris: "But to get to recommendation, you're going to blow your user socks off. You have to give them an experience they didn't know was previously possible. And when you are in that place of doing something that no one has ever done before, that's when you get it."
To trigger true word-of-mouth, the product must be exponentially better than the status quo, typically by being significantly faster, cheaper, or easier to use.
Accelerate Existing Organic Growth
From "Building a referrals program": "The added incentive that a referral program offers simply adds fuel to an existing fire. I haven’t seen referrals work when there wasn’t strong existing WOM."
A referral program acts as an accelerator for existing interest. It should only be built once you verify that a majority of growth is already organic.
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.
- 9d ago First seen · 90 lines · 28 tokens per session scan A 19991191037e
referrals-word-of-mouth is a skill published in the GitHub repository RefoundAI/lenny-skills (1,321 stars, last pushed 1mo ago), licensed MIT. It adds 28 tokens to every session and 1,407 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 2026-09-03.
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