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 public-speakinggit 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/public-speaking)<a href="https://agentmods.dev/skills/refoundai/lenny-skills/public-speaking"><img src="https://agentmods.dev/badge/skills/refoundai/lenny-skills/public-speaking/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/public-speaking"><img src="https://agentmods.dev/badge/skills/refoundai/lenny-skills/public-speaking.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
- Socket pass
- Snyk 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 | $0.00033 | $0.01709 |
| Opus 5 | $0.00016 | $0.00855 |
| Sonnet 5 | $0.00007 | $0.00342 |
| Haiku 4.5 | $0.00003 | $0.00171 |
Grade A, and why
public-speaking 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 8d 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 — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mastery of Public Speaking
Transform your technical expertise into compelling narratives that command authority and drive action.
Help the user with mastery of public speaking using insights from 12 guests and posts across Lenny's Podcast and Newsletter.
How to Help
- Diagnose the hurdle - Identify if the challenge is preparation, anxiety management, slide design, or delivery mechanics.
- Apply frameworks - Suggest specific structures like the Arrow Method or the 5-Second Moment based on the user's goal.
- Simulate delivery - Offer game-based exercises or visualization techniques to build resilience and mental bandwidth.
- Refine with humor and visuals - Integrate strategic humor and cinematic slide design to elevate the presentation's impact.
Core Principles
Decompose the skill
Dharmesh Shah: "I have custom software that I've written that will say, 'Okay, here are the points at which the audience laughed.' Actually audibly laughed. That's the only way it counts. And this actually... and it comes down to this metric that standup comedians use called LPM laughs per minute."
Master public speaking by breaking it down into measurable sub-skills like slide design and humor. Use objective data, such as laughs per minute, to optimize your performance based on audience engagement.
Visualize the entire sequence
Matt Abrahams: "Visualization is a really useful technique and you see yourself not just in the moment of speaking, but getting up to the stage, seeing it being well received, thinking about how you step off the stage. We see athletes do this kind of thing all the time, and there's good research to say that this desensitizes people."
Desensitize your brain to anxiety through detailed mental visualization. Imagine the full sequence from walking onto the stage to the final audience response to gain a greater sense of agency.
Identify the five-second moment
Matthew Dicks: "It's a moment of either transformation, meaning I'm telling you a story about how I once used to be one kind of person and now I'm a new kind of person. Or more common is realization. Which is I used to think something and then some stuff happened and now I think a new thing."
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.
- 8d ago First seen · 98 lines · 33 tokens per session scan A ae8ba2dfd324
public-speaking is a skill published in the GitHub repository RefoundAI/lenny-skills (1,321 stars, last pushed 1mo ago), licensed MIT. It adds 33 tokens to every session and 1,709 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 2026-09-03.
Other skills, from other repositories
manim-video
Production pipeline for mathematical and technical animations using Manim Community Edition. Creates 3Blue1Brown-style explainer videos, algorithm visualizations, equation derivations, architecture diagrams, and data stories. Use when users request: animated explanations, math animations, concept visualizations…
baoyu-comic
A creator for educational comics, including biographies and tutorials, that turns supplied content or topics into illustrated comic pages.
concept-diagrams
Generate flat, minimal educational SVG visuals as HTML.
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.
sherpa-onnx-tts
Local text-to-speech via sherpa-onnx (offline, no cloud).
video-frames
Extract frames or short clips from videos using ffmpeg.