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 seo-strategygit 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/seo-strategy)<a href="https://agentmods.dev/skills/refoundai/lenny-skills/seo-strategy"><img src="https://agentmods.dev/badge/skills/refoundai/lenny-skills/seo-strategy/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/seo-strategy"><img src="https://agentmods.dev/badge/skills/refoundai/lenny-skills/seo-strategy.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 | $0.01589 |
| Opus 5 | $0.00014 | $0.00794 |
| Sonnet 5 | $0.00006 | $0.00318 |
| Haiku 4.5 | $0.00003 | $0.00159 |
Grade A, and why
seo-strategy 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 — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SEO Growth Strategy
Turn organic search into a scalable acquisition engine using programmatic data and systematic experimentation.
Help the user with seo growth strategy using insights from 9 guests and posts across Lenny's Podcast and Newsletter.
How to Help
- Audit and Validation - Identify whether your target audience uses search for discovery and if you have the unique data required to compete.
- Programmatic Design - Help structure 'Mad Libs' style templates that use internal data to generate thousands of high-value landing pages.
- Experiment Setup - Guide the creation of a page-level bucketing framework to test title tags, content, and internal linking changes.
- AI Adaptation - Reorient content toward mid-funnel queries and multiple authoritative mentions to capture traffic from LLMs and AI Overviews.
Core Principles
Shift to Mid-Funnel Queries
Eli Schwartz: "And now you're in the mid-funnel and that's where SEO begins to matter. So the reason why I think this disruption is so big is because the journey changes, the discovery changes. So whereas before if you were a travel site and you were able to rank on best beach vacation within two hours of the United States, that's your ranking result."
As AI summaries satisfy high-level discovery, businesses must focus on deeper research queries where users need detailed comparisons and specific data.
SEO as a Product Feature
Eli Schwartz: "Think of SEO as a product. The product managers are the people that should be thinking about this SEO question because it's a product question. Product people need to think about how do we position this to the user that is not going to find out about this from a social channel, that's not going to be attracted by an ad?"
Search visibility should be led by product managers and integrated into the core product positioning rather than treated as a separate content exercise.
Validate Search Intent First
Eli Schwartz: "Product people need to think about how do we position this to the user that is not going to find out about this from a social channel, that's not going to be attracted by an ad? This is a user that's doing their own self-discovery journey. If you can't answer the question about what is it that someone's going to do a search on, then don't do SEO."
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 · 100 lines · 28 tokens per session scan A 9b059e9d2556
seo-strategy 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 1,589 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.
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.