Discover Data & AI skills, compare source repositories and read the instructions for each workflow.
Troubleshoot ARC (Actions Runner Controller) runners on Rackspace Spot Kubernetes. Diagnose stuck jobs, scaling issues, and cluster access. Activates on "runner", "ARC", "stuck job", "queued", "GitHub Actions",...
Deploy ARC (Actions Runner Controller) infrastructure using Terraform on Rackspace Spot. Handles CRD registration, ArgoCD installation, and namespace management. Use when deploying or troubleshooting ARC infras...
Best practices for running GitHub Actions ARC runners on Rackspace Spot Kubernetes. Covers spot instance management, preemption handling, cost optimization, and resilience strategies. Activates on "rackspace sp...
Deploy and manage ArgoCD using the App-of-Apps pattern. Covers bootstrap Applications, ApplicationSets, and GitOps workflows. Use when setting up or troubleshooting ArgoCD deployments.
Orchestrate publishing monorepo packages to npm using Lerna with OTP handling, pre-publish validation (build + lint), dry-run preview, and post-publish verification. Use when user requests to publish, release,...
Package custom skills into versioned distributable ZIP files with installation and user documentation. Use when preparing a skill for sharing, distribution, or archival. Supports semantic versioning, automatic...
Review HTML/CSS and React/TypeScript code for WCAG 2.1 Level AA accessibility compliance. Use when the user asks to review code for accessibility, check WCAG compliance, identify accessibility issues, or audit...
Extracts design tokens from images and generates CSS custom properties, atomic utility classes (Tailwind-style), and platform-specific formats following W3C standards and modern CSS best practices.
Debug and analyze {{PROJECT_NAME}} LangGraph agent traces. Use when investigating agent behavior patterns, finding failures, analyzing latency, or understanding why Orchestrator/Analyst responses went wrong. Co...
Vercel deployment management for frontend apps: CLI, env vars, config, troubleshooting, rollback.
Expanded smart-grep playbook for token-efficient rg --json searches with examples and budgeting.
Reference guide for OpenAI model IDs, capabilities, pricing, and provider endpoints. Use when selecting a model, comparing OpenAI capabilities, or validating model IDs for {{PROJECT_NAME}}.
Manage tri-tier agent memory (hot/warm/cold) with event consolidation and weekly cleanup. Use for memory updates after completing tasks.
Backend testing with pytest including fixtures, mocking, async tests, and database testing. Use for FastAPI/Python test implementation.
Build Next.js 13+ App Router applications with server components, client components, API routes, middleware, and streaming. Use when implementing Next.js features, route handlers, or RSC patterns.
Backend testing with pytest including fixtures, mocking, async tests, and database testing. Use for FastAPI/Python test implementation.
Expanded smart-grep playbook for token-efficient rg --json searches with examples and budgeting.
Build production-ready FastAPI applications with async patterns, Pydantic validation, dependency injection, middleware, and database integration. Use for FastAPI endpoints, async workflows, or API design.
Token-efficient codebase search using ripgrep with JSON output. Reduces token usage by 90-95% vs standard grep. Use for any codebase search to save tokens.
Performance testing using Chrome DevTools, Lighthouse, and Core Web Vitals monitoring. Use for performance profiling or optimization validation.
Advanced Tailwind CSS patterns including custom themes, responsive design, dark mode, animations, and component variants. Use for complex styling or design system implementation.
Complete testing toolkit for web applications - backend pytest, E2E Playwright, performance profiling, and local automation.
Complete testing toolkit for web applications - backend pytest, E2E Playwright, performance profiling, and local automation.
Validate file placement against canonical structure rules and auto-fix violations. Use before committing or when validating project structure.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.