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 engineering-healthgit 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/engineering-health)<a href="https://agentmods.dev/skills/refoundai/lenny-skills/engineering-health"><img src="https://agentmods.dev/badge/skills/refoundai/lenny-skills/engineering-health/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/engineering-health"><img src="https://agentmods.dev/badge/skills/refoundai/lenny-skills/engineering-health.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 | $0.00033 | $0.01659 |
| Opus 5 | $0.00016 | $0.00830 |
| Sonnet 5 | $0.00007 | $0.00332 |
| Haiku 4.5 | $0.00003 | $0.00166 |
Grade A, and why
engineering-health 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 — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Engineering Health and Productivity
Maintain high shipping velocity by balancing technical excellence with strategic developer investments.
Help the user with engineering health and productivity using insights from 18 guests and posts across Lenny's Podcast and Newsletter.
How to Help
- Baseline health - Use the Core 4 or DORA frameworks to establish a quantitative and qualitative starting point for team performance.
- Optimize workflows - Identify bottlenecks in the path from code completion to production deployment to unlock hidden velocity.
- Manage technical debt - Frame technical investments as business ROI to secure buy-in for non-feature work.
- Leverage AI tools - Integrate AI into the development lifecycle to shift engineer focus from syntax to architecture.
Core Principles
Evaluate AI by Value over Volume
Chip Huyen: "It's really hard to measure productivity. So, I do ask people to ask their managers, "Would you rather give everyone on the team very expensive coding agent subscriptions or you get an extra head count?" Almost every one, the managers will say head count."
Compare the cost and output of AI tools against the value of additional headcount rather than just looking at raw productivity gains.
Shift Focus to Architecture
Inbal S: "The user of the AI tools to develop software needs to form a different thinking. You need to start figuring out how are you using these AI tools to help you be successful. And it's no longer just the actual code writing, it's really evolving your thinking to the big picture, to the connected experience, to connected systems."
Use AI to handle manual syntax so engineers can spend more time on high level system design and product understanding.
Modernize Internal Tooling for AI
Mike Krieger: "We really rapidly became bottlenecked on other things like our merge queue. We had to completely re-architect it because so much more code was being written and so many more pull requests were being submitted. Over half of our pull requests are Claude Code generated."
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 · 107 lines · 33 tokens per session scan A fe17dd052610
engineering-health is a skill published in the GitHub repository RefoundAI/lenny-skills (1,318 stars, last pushed 1mo ago), licensed MIT. It adds 33 tokens to every session and 1,659 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
linear
Manage Linear issues, projects, and teams via the GraphQL API. Create, update, search, and organize issues. Uses API key auth (no OAuth needed). All operations via curl — no dependencies.
notion
Notion API for creating and managing pages, databases, and blocks via curl. Search, create, update, and query Notion workspaces directly from the terminal.
github-issues
Create, manage, triage, and close GitHub issues. Search existing issues, add labels, assign people, and link to PRs. Works with gh CLI or falls back to git + GitHub REST API via curl.
trello
Manage Trello boards, lists, and cards via the Trello REST API.
things-mac
Manage Things 3 via the things CLI on macOS (add/update projects+todos via URL scheme; read/search/list from the local Things database). Use when a user asks OpenClaw to add a task to Things, list inbox/today/upcoming, search tasks, or inspect projects/areas/tags.
wayfinder
Plan a huge chunk of work — more than one agent session can hold — as a shared map of decision tickets on your issue tracker, and resolve them one at a time until the way to the destination is clear.