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 personal-brand-networkgit 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/personal-brand-network)<a href="https://agentmods.dev/skills/refoundai/lenny-skills/personal-brand-network"><img src="https://agentmods.dev/badge/skills/refoundai/lenny-skills/personal-brand-network/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/personal-brand-network"><img src="https://agentmods.dev/badge/skills/refoundai/lenny-skills/personal-brand-network.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 | $0.00026 | $0.01184 |
| Opus 5 | $0.00013 | $0.00592 |
| Sonnet 5 | $0.00005 | $0.00237 |
| Haiku 4.5 | $0.00003 | $0.00118 |
Grade A, and why
personal-brand-network 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 — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Personal Brand Network
Transform your professional expertise into a magnetic network and a high-affinity audience.
Help the user with personal brand network using insights from 21 guests and posts across Lenny's Podcast and Newsletter.
How to Help
- Map the landscape - Identify critical path relationships and unique knowledge areas to anchor your brand.
- Develop a content engine - Create a sustainable routine for sharing original insights and reactive micro-blogging.
- Cultivate strategic connections - Build long-term relationships through an abundance mindset and value-first interactions.
- Audit and optimize - Refine your digital footprint and outreach strategy based on audience feedback and organizational goals.
Core Principles
Top-of-Funnel Discovery Engine
Gergely: "In the first about nine months of the newsletter, it got to 50,000 subscribers, and then the next five months, or six or seven months, it went up by another a hundred and something thousand subscribers. This was when Substack introduced recommendations, which has been a massive growth engine, and I guess being one of the top publications, I benefited from it."
Use a high-quality free version of your content as a massive top-of-funnel engine for audience discovery. This creates a step-function growth pattern by leveraging platform recommendations and lower barriers to entry.
Mind-Follower Loyalty
Julian Shapiro: "When people follow you for your mind, when they're mind followers, not labor followers, higher affinity means more loyalty, means they pay closer attention to what you're saying. And if you actually try to get them to do something with you, you have an event offline, there's something you're selling, there's a cause you care about, they're way more likely to indulge."
Building an audience around your unique thinking creates significantly more loyalty than acting as a content curator. Sharing original insights attracts high-affinity followers who value your perspective.
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 · 76 lines · 26 tokens per session scan A 7a88dfe65fc8
personal-brand-network is a skill published in the GitHub repository RefoundAI/lenny-skills (1,318 stars, last pushed 1mo ago), licensed MIT. It adds 26 tokens to every session and 1,184 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 2026-08-30.
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.