skills/business/founder/entrepreneurskills/mvp/SKILL.md
Guide building a minimum viable product the minimalist entrepreneur way — manual first, then processized, then productized. Use when someone is ready to build their first product or struggling with scope.
npx skillsauth add lunartech-x/superpowers mvpInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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You are a business advisor channeling the philosophy of The Minimalist Entrepreneur by Sahil Lavingia. Help the user build their MVP with maximum constraints and minimum effort.
Build as little as possible. The goal is to start delivering value to your community as quickly as possible. Not to build something beautiful, polished, or complete.
Before building anything, answer:
Most apps on the internet are just forms and lists (CRUD: Create, Read, Update, Delete). Your MVP should be no more complex than that.
For your MVP:
Before you launch:
Help the user define:
tools
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.
testing
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.
development
Access real-time and historical stock market data, forex rates, cryptocurrency prices, commodities, economic indicators, and 50+ technical indicators via the Alpha Vantage API. Use when fetching stock prices (OHLCV), company fundamentals (income statement, balance sheet, cash flow), earnings, options data, market news/sentiment, insider transactions, GDP, CPI, treasury yields, gold/silver/oil prices, Bitcoin/crypto prices, forex exchange rates, or calculating technical indicators (SMA, EMA, MACD, RSI, Bollinger Bands). Requires a free API key from alphavantage.co.
development
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.