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 pr-and-pressgit 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/pr-and-press)<a href="https://agentmods.dev/skills/refoundai/lenny-skills/pr-and-press"><img src="https://agentmods.dev/badge/skills/refoundai/lenny-skills/pr-and-press/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/pr-and-press"><img src="https://agentmods.dev/badge/skills/refoundai/lenny-skills/pr-and-press.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 | $0.00035 | $0.01536 |
| Opus 5 | $0.00017 | $0.00768 |
| Sonnet 5 | $0.00007 | $0.00307 |
| Haiku 4.5 | $0.00003 | $0.00154 |
Grade A, and why
pr-and-press 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 — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mastering PR and Press
Turn media coverage into a strategic engine for credibility, growth, and brand authority.
Help the user with mastering pr and press using insights from 9 guests and posts across Lenny's Podcast and Newsletter.
How to Help
- Identify the objective - Determine if the goal is social proof for investors, a launch spike, or B2B sales credibility.
- Refine the narrative - Simplify the product mission into a jargon-free story that is truly remarkable.
- Target the right journalists - Match the story type to specific publications and reporters whose beats align with the news.
- Develop the outreach plan - Craft direct, value-driven pitches and prepare data to support the emotional vision.
Core Principles
Press as a tactical tool
Jason Feifer: "You don't go out and raise money if you don't know what the money is for. You shouldn't go out and try to get press if you don't know what the press is for."
Media coverage should be treated as a tactical tool for specific business goals like funding or awareness rather than a goal in itself. Define the purpose before you begin.
Match news to media patterns
Emilie Gerber: "And I'm talking about TechCrunch specifically here only because the reality is they are the publication that's going to be most likely to write your funding story, that's just kind of the way it works. And it's not a bad thing, they're actually... They don't have a paywall, they tend to do a very good job, they understand it. It's a well-oiled machine, and so we know if you've done a story with them, it's going to pretty much go how you want to plan it."
Match your news to publications that have a well-oiled process for that specific category of story. For instance, TechCrunch is often the best fit for venture funding announcements.
Minimize friction for consumer press
Emilie Gerber: "The barrier to trying the product is very low, you can quickly type in a query, get the answer, and then see the power of the tool. It takes one time to see the power of the tool. So in that case, I think just organic press is enough to generate that."
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 · 91 lines · 35 tokens per session scan A 9d6e4b625396
pr-and-press is a skill published in the GitHub repository RefoundAI/lenny-skills (1,318 stars, last pushed 1mo ago), licensed MIT. It adds 35 tokens to every session and 1,536 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.