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 plg-sales-integrationgit 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/plg-sales-integration)<a href="https://agentmods.dev/skills/refoundai/lenny-skills/plg-sales-integration"><img src="https://agentmods.dev/badge/skills/refoundai/lenny-skills/plg-sales-integration/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/plg-sales-integration"><img src="https://agentmods.dev/badge/skills/refoundai/lenny-skills/plg-sales-integration.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 | $0.00038 | $0.01111 |
| Opus 5 | $0.00019 | $0.00556 |
| Sonnet 5 | $0.00008 | $0.00222 |
| Haiku 4.5 | $0.00004 | $0.00111 |
Grade A, and why
plg-sales-integration 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 13d 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 — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PLG Sales Integration
Bridge the gap between self-serve adoption and enterprise deal-making to maximize revenue.
Help the user with plg sales integration using insights from 13 guests and posts across Lenny's Podcast and Newsletter.
How to Help
- Assess Readiness - Review current self-serve metrics and lead signals to determine if it is time to add a human sales layer.
- Define PQLs - Help establish Product Qualified Lead criteria based on specific usage behaviors and user personas.
- Design the Sales Assist Motion - Outline how a sales assist team should support users rather than replacing the self-serve experience.
- Operationalize Data Pipelines - Identify the necessary product instrumentation and CRM integrations to provide sales teams with real-time usage visibility.
Core Principles
Sales as a Complementary Funnel
From "Summary: The ultimate guide to adding a PLG motion | Hila Qu (Reforge, GitLab)": "The question is not either or but both and a matter of sequencing. PLG is perfect for lowering the barrier for more people to try the product and broaden the reach."
Adding PLG to a sales-led motion is not about replacement; it is about creating a wider entry point. Sales should focus on targeting high-value accounts while the product handles the broad top-of-funnel reach.
Capture Enterprise Segments Early
From "The Transition: Layering sales onto a bottom-up self-serve product": "The crux of this article is that waiting too long to add sales-involvement often leads to a large opportunity cost. Many successful self-serve applications saw their market position usurped by competitors who adopted a sales-assisted motion and effectively firewalled the self-serve-only products out of lucrative enterprise segments (e.g. Dropbox)."
Delaying the addition of sales to a self-serve product risks losing high-value segments to competitors. Use human intervention to smooth over edge cases and communicate complex value propositions during onboarding.
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.
- 13d ago First seen · 71 lines · 38 tokens per session scan A c8e9a70309d3
plg-sales-integration is a skill published in the GitHub repository RefoundAI/lenny-skills (1,321 stars, last pushed 1mo ago), licensed MIT. It adds 38 tokens to every session and 1,111 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.