DevOps and Cloud

Comprehensive design rules for Apple Vision Pro based on Apple Human Interface Guidelines. These rules ensure spatial computing apps are comfortable, intuitive, and consistent with platform conventions.

When building infrastructure components, ensure they're actually invoked in the execution path.

Slow database queries are a common performance bottleneck. Optimization through indexing, efficient queries, and caching dramatically improves application performance.

This skill covers using OpenAI's embedding API with GrepAI for high-quality, cloud-based embeddings.

Social Graphics creates platform-specific visual content optimized for engagement. This skill teaches you to generate graphics that perform well on each platform.

E2E tests use Playwright. Located in apps/examples/e2e/ (SDK examples) and apps/dotcom/client/e2e/ (tldraw.com).

Implement comprehensive backup and disaster recovery strategies. Covers backup types, retention policies, restore testing, and recovery time objectives (RTO/RPO).

A framework for crafting ideas and messages that are understood, remembered, and have lasting impact. Based on decades of research into why some ideas survive and others die.

Source details, install context, and public review data are available on the full page.

Browser debugging tools help identify and fix client-side issues including JavaScript errors, layout problems, and performance issues.

Source details, install context, and public review data are available on the full page.

PyHealth is a comprehensive Python library for healthcare AI that provides specialized tools, models, and datasets for clinical machine learning. Use this skill when developing healthcare prediction models, processing clinical data, working with medical coding systems, or deploying AI solutions in healthcare settings.

PyMC is a Python library for Bayesian modeling and probabilistic programming. Build, fit, validate, and compare Bayesian models using PyMC's modern API (version 5.x+), including hierarchical models, MCMC sampling (NUTS), variational inference, and model comparison (LOO, WAIC).

Source details, install context, and public review data are available on the full page.

Source details, install context, and public review data are available on the full page.

Open-source AI observability and evaluation platform for LLM applications with tracing, evaluation, datasets, experiments, and real-time monitoring.

Add official Railway database services. These are maintained templates with pre-configured volumes, networking, and connection variables.

Comprehensive WCAG 2.1 accessibility audit for Webflow pages with detailed issue detection and actionable fixes.

SHAP is a unified approach to explain machine learning model outputs using Shapley values from cooperative game theory. This skill provides comprehensive guidance for:

Comprehensive assistance with axolotl development, generated from official documentation.

The Gene Expression Omnibus (GEO) is NCBI's public repository for high-throughput gene expression and functional genomics data. GEO contains over 264,000 studies with more than 8 million samples from both array-based and sequence-based experiments.

LlamaGuard is a 7-8B parameter model specialized for content safety classification.

OpenRLHF is a Ray-based RLHF framework optimized for distributed training with vLLM inference acceleration.

Deploy code from the current directory to Railway using railway up .