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 launch-planninggit 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/launch-planning)<a href="https://agentmods.dev/skills/refoundai/lenny-skills/launch-planning"><img src="https://agentmods.dev/badge/skills/refoundai/lenny-skills/launch-planning/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/launch-planning"><img src="https://agentmods.dev/badge/skills/refoundai/lenny-skills/launch-planning.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 | $0.00039 | $0.01197 |
| Opus 5 | $0.00019 | $0.00598 |
| Sonnet 5 | $0.00008 | $0.00239 |
| Haiku 4.5 | $0.00004 | $0.00120 |
Grade A, and why
launch-planning 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 10d 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 — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Launch Planning
Build momentum and drive adoption by turning product updates into remarkable market events.
Help the user with product launch planning using insights from 18 guests and posts across Lenny's Podcast and Newsletter.
How to Help
- Draft a GACCS brief - Help users define clear project goals, target audiences, and non-goals to prevent scope creep.
- Select a buzz strategy - Identify which of the ten 'remarkable' categories, such as stunts or viral videos, best aligns with the product.
- Sequence the launch - Structure the rollout from manual outreach to public platform coordination.
- Optimize platform assets - Guide the creation of specific assets for high-impact channels like Product Hunt or social media.
Core Principles
Optimize for remarkability
From "Generating buzz": "Here’s the hard truth: No one cares about your new product. As Marc Andreessen said, “everyone’s time is already allocated.”"
To break through the attention barrier, a launch must be worth making a remark about. Focus on creating something that people feel they must share with others.
Force alignment with briefs
From "How to get your marketing team to drive more impact": "The GACCS framework (Goals, Audience, Creative, Channels, Stakeholders) keeps teams from doing busywork, drives cross-team alignment, and helps marketers produce more work that your prospects and customers—and coworkers—love. In short, it helps stop marketing work from being a waste of time."
Use structured GACCS briefs for any project longer than a tweet. Forcing alignment on goals and audiences before execution prevents wasted effort and scope creep.
Use deadlines as forcing functions
Claire Butler: "This was a forcing function for us to do our messaging and positioning. And I remember there was more than one day where we locked ourselves in a conference room and I made Dylan and show at the time have this positioning up on the big screen and made them agree on it word for word."
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.
- 10d ago First seen · 75 lines · 39 tokens per session scan A 4987be13a29e
launch-planning is a skill published in the GitHub repository RefoundAI/lenny-skills (1,315 stars, last pushed 1mo ago), licensed MIT. It adds 39 tokens to every session and 1,197 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.