Help users define, validate, and operationalize a North Star Metric that bridges the gap between customer value and business success while driving team alignment.
npx skills add https://github.com/RefoundAI/lenny-skills --skill north-star-metrics
Align your team and strategy around a single, quantifiable measure of customer value and business success.
Help the user with north star metrics using insights from 14 guests and posts across Lenny's Podcast and Newsletter.
Bill Carr: "When you're measuring things, you're trying to understand what actions or reactions are creating the good outputs that you want, revenue, customer growth. But by putting them all together, you basically obfuscate that. And what really we realized is we need to just break each one of these out individually and manage them each in its own way."
Avoid managing compound metrics like revenue directly. Instead, deconstruct high-level goals into specific, controllable inputs that teams can influence on a daily basis.
Jess Lachs: "Retention is a terrible thing to goal on. It's almost impossible to drive in a meaningful way in a short term. Ultimately, you want to find a short-term metric you can measure that drives a long-term output."
Identify and focus on short-term input metrics that serve as strong proxies for long-term strategic outcomes like retention and revenue.
Nickey Skarstad: "One of the things Airbnb did for experiences is we had this balancing metric, which was basically using the review rate as sort our end all, be all top line goal. So you can imagine a business like that. Obviously we needed to have revenue kind of moving through the platform, and we cared about high level bookings. But really at the end of the day in the beginning, we were obsessed with making sure every person who booked actually had a good experience when they showed up to experiences."
Set high-standard quality metrics as top-line goals to protect the end-user experience from the pressures of aggressive scaling.
Sarah Tavel: "What you realize when you look at social products is that they're almost is this action which I call the core action of that product that forms the foundation of the product. When a user completes this action, it's clear that they both understand the utility of the product, they understand what that product is all about, and it's an action that, if they perform the action, they're very likely to come back."
The most effective metrics track the completion of a fundamental core action that proves a user understands the product's underlying utility.
See references/artifacts.md for the full list with details.
For all 39 sourced insights from 14 guests, see references/guest-insights.md
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like \"the xlsx in my downloads\") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
Picks random winners from lists, spreadsheets, or Google Sheets for giveaways, raffles, and contests. Ensures fair, unbiased selection with transparency.
Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data analysis and safety research.
MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing. Use when writing MATLAB/Octave scripts for linear algebra, signal processing, image processing, differential equations, optimization, statistics, or creating scientific visualizations. Also use when the user needs help with MATLAB syntax, functions, or wants to convert between MATLAB and Python code. Scripts can be executed with MATLAB or the open-source GNU Octave interpreter.
UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.
Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment.
Access AlphaFold 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyze confidence metrics (pLDDT, PAE), for drug discovery and structural biology.
Take refoundai/north-star-metrics from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.