skills/writing-and-planning/copywriting/document-editorial/codebase-documenter/SKILL.md
Generates comprehensive documentation explaining how a codebase works, including architecture, key components, data flow, and development guidelines. Use when user wants to understand unfamiliar code, create onboarding docs, document architecture, or explain how the system works.
npx skillsauth add lunartech-x/superpowers codebase-documenterInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Generates comprehensive documentation for codebases - architecture, components, data flow, development guidelines.
Creates markdown documentation:
docs/
├── README.md # Overview and quick start
├── ARCHITECTURE.md # System architecture
├── DEVELOPMENT.md # Development guide
├── API.md # API documentation
├── DEPLOYMENT.md # Deployment guide
└── CONTRIBUTING.md # Contribution guidelines
Or single comprehensive doc if preferred.
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.