Loading...
Loading...
Found 2,417 Skills
Ruby performance optimization guidelines. This skill should be used when writing, reviewing, or refactoring Ruby code to ensure optimal performance patterns. Triggers on tasks involving object allocation, collection processing, ActiveRecord queries, string handling, concurrency, or Ruby runtime configuration.
Analyze previous Jetty workflow runs and propose targeted improvements to your runbook. Use when the user wants to optimize, improve, or debug a runbook based on past execution results — including 'optimize runbook', 'improve runbook', 'why is my runbook failing', 'analyze my runs', 'runbook not working well', 'make my runbook better', 'debug runbook performance', or 'learn from past runs'. Also trigger when the user mentions trajectory analysis, run patterns, or evaluation score improvements.
Debug client-side issues using browser developer tools. Identify JavaScript errors, styling issues, and performance problems in the browser.
Optimize content for search engines with keyword analysis, readability scoring, meta descriptions, and competitor comparison. Use this when users want to improve SEO, optimize blog posts, or analyze content for search performance.
Multi-framework frontend development. Frameworks: React 18+ (Suspense, hooks, TanStack), Vue 3 (Composition API, Pinia, Nuxt), Svelte 5 (Runes, SvelteKit), Angular (Signals, standalone). Common: TypeScript, state management, routing, data fetching, performance optimization, component patterns. Actions: create, build, implement, style, optimize, refactor components/pages/features. Keywords: React, Vue, Svelte, Angular, component, TypeScript, hooks, Composition API, runes, signals, useSuspenseQuery, Pinia, stores, state management, routing, lazy loading, Suspense, performance, bundle size, code splitting, reactivity, props, events. Use when: creating components in any framework, building pages, fetching data, implementing routing, state management, optimizing performance, organizing frontend code, choosing between frameworks.
Build evaluation frameworks for agent systems. Use when testing agent performance, validating context engineering choices, or measuring improvements over time.
Power BI semantic modeling assistant for building optimized data models. Use when working with Power BI semantic models, creating measures, designing star schemas, configuring relationships, implementing RLS, or optimizing model performance. Triggers on queries about DAX calculations, table relationships, dimension/fact table design, naming conventions, model documentation, cardinality, cross-filter direction, calculation groups, and data model best practices. Always connects to the active model first using power-bi-modeling MCP tools to understand the data structure before providing guidance.
Expert prompt optimization for LLMs and AI systems. Use PROACTIVELY when building AI features, improving agent performance, or crafting system prompts. Masters prompt patterns and techniques.
Expert blueprint for shader programming (visual effects, post-processing, material customization) using Godot's GLSL-like shader language. Covers canvas_item (2D), spatial (3D), uniforms, built-in variables, and performance. Use when implementing custom effects OR stylized rendering. Keywords shader, GLSL, fragment, vertex, canvas_item, spatial, uniform, UV, COLOR, ALBEDO, post-processing.
Architectural refactoring guide for React applications covering component architecture, state architecture, hook patterns, component decomposition, coupling and cohesion, data flow, and refactoring safety. Use when refactoring React codebases, reviewing PRs for architectural issues, decomposing oversized components, or improving module boundaries. Does NOT cover React 19 API usage (see react skill) or performance optimization (see react-optimise skill).
Rollback failed deployments, restore previous versions, and handle deployment emergencies. Use when deployments fail, critical bugs are discovered in production, performance degrades after deployment, or emergency recovery is needed.
Diagnose ClickHouse SELECT query performance, analyze query patterns, identify slow queries, and find optimization opportunities. Use for query latency and timeout issues.