Managing Home Assistant configurations, automations, and dashboards requires understanding multiple workflows, tools, and best practices. This skill provides expert-level guidance for deployment workflows, remote CLI access, automation verification, and tablet-optimized Lovelace dashboard development.

Coding agents drift, expand scope, and skip verification — this skill provides a lightweight PM operating loop with templates for briefing, reviewing, and shipping their work. It gives founders and product engineers a repeatable system to delegate, review, and verify agent output without losing control.

Sharing files or sites usually requires setting up hosting, accounts, and configuration. This skill publishes text, files, and entire sites to brewpage.app with a single command, returning a public URL ready to share.

Standard Markdown lacks features for linking notes and organizing knowledge. This skill helps you create properly formatted Obsidian notes with wikilinks, embeds, callouts, and properties.

This skill enables AI assistants to interact with Obsidian vaults via CLI, allowing note creation, search, task management, and plugin development workflows directly from the command line.

Transform your Obsidian vault into a powerful database with table, card, list, and map views. Create dynamic filters, formulas, and summaries without writing code.

Users struggle to create visual canvases in Obsidian without a proper JSON format guide. This skill provides complete reference documentation for creating and editing JSON Canvas files with nodes, edges, groups, and connections.

Reading web pages with WebFetch wastes tokens on ads, navigation, and clutter. Defuddle extracts only the main content as clean markdown, saving up to 80% of tokens when analyzing online articles, documentation, and blog posts.

The ZINC database contains 230M+ purchasable chemical compounds for drug discovery research. This skill provides programmatic access to search by ZINC ID, SMILES, or supplier code, retrieve 3D structures, and perform similarity searches for virtual screening and molecular docking studies.

Working with large datasets that exceed memory limits. Zarr-python enables chunked array storage with compression for efficient cloud-native scientific computing workflows.

This skill enables creating, editing, and analyzing Excel spreadsheets with formulas, formatting, and data analysis. It also recalculates formulas and verifies zero errors for publication-quality outputs.

Academic publishing requires strict formatting compliance. This skill provides ready-to-use LaTeX templates and detailed requirements for 50+ top journals, conferences, and grant agencies. Get perfectly formatted documents without manual template hunting.

Processing large tabular datasets that exceed RAM requires specialized tools. Vaex enables out-of-core DataFrame operations, lazy evaluation, and billion-row-per-second processing on datasets too big for memory. Perfect for astronomical data, financial time series, and large-scale scientific analysis.

Access comprehensive USPTO patent and trademark databases. Search by keywords, inventors, or assignees. Retrieve examination history, assignments, citations, and office actions for IP research and prior art searches.

Search protein databases, retrieve sequences, and map identifiers across biological databases. This skill provides direct access to UniProt, the comprehensive protein sequence and functional information resource.

High-dimensional data is difficult to visualize and analyze. UMAP reduces dimensions while preserving structure, enabling clear 2D/3D visualizations and better clustering results.

Generate professional medical treatment plans in LaTeX format for any clinical specialty. Includes HIPAA compliance guidance, SMART goal frameworks, and validation tools for patient-centered care documentation.

Stop wrestling with complex ML model setup. This skill gives you instant access to thousands of pre-trained transformer models for text, image, and audio tasks through simple commands.

Graph Neural Networks power modern applications like drug discovery, social network analysis, and recommendation systems. This skill provides ready-to-use templates and documentation for implementing GNNs with PyTorch Geometric.

Build and train graph neural networks for drug discovery, protein modeling, and molecular property prediction. This skill provides comprehensive documentation for the TorchDrug library including datasets, model architectures, and workflows.