Loading...
Loading...
Found 2,257 Skills
REST API and WebSocket development with FastAPI emphasizing security, performance, and async patterns
This skill should be used when the user asks to "create a 3D scene", "add a mesh", "implement OrbitControls", "load a GLTF model", "add bloom post-processing", "write a custom shader", "create particle effects", "optimize Three.js performance", "use WebGPU", "add shadows", "animate a model", or mentions Three.js, threejs, WebGL, WebGPU, GLTF, raycaster, shader material, PBR material, or post-processing effects. IMPORTANT: This skill is for VANILLA Three.js (imperative JavaScript). For React Three Fiber (@react-three/fiber, R3F, drei), check the `r3f-best-practices` skill, although three-js skills helps when working with R3F since R3F is a React renderer for Three.js. Provides complete Three.js reference for 3D web graphics including scene setup, geometry, materials, textures, lighting, cameras, loaders, animation, controls, interaction, shaders, post-processing, performance optimization, TSL/node materials, WebGPU, physics, and VR/XR integration.
Generates comprehensive SEO and GEO performance reports combining rankings, traffic, backlinks, and AI visibility metrics. Creates executive summaries and detailed analyses for stakeholder reporting.
AWS CloudFormation patterns for CloudFront distributions, origins (ALB, S3, Lambda@Edge, VPC Origins), CacheBehaviors, Functions, SecurityHeaders, parameters, Outputs and cross-stack references. Use when creating CloudFront distributions with CloudFormation, configuring multiple origins, implementing caching strategies, managing custom domains with ACM, configuring WAF, and optimizing performance.
Generate personalized content recommendations based on learner profiles, performance, preferences, and learning analytics. Use for adaptive learning systems, content discovery, and personalized guidance. Activates on "recommend content", "next best", "personalization", or "what should I learn next".
Expert frontend development guidance covering React, Vue, Angular, TypeScript, state management, component architecture, performance optimization, accessibility, testing, and modern web APIs. Produces production-ready, maintainable, and performant frontend code with best practices. Use when building web applications, implementing UI components, managing application state, optimizing performance, or when users mention React, Vue, Angular, TypeScript, hooks, state management, components, or frontend development.
Master context engineering for AI agent systems. Use when designing agent architectures, debugging context failures, optimizing token usage, implementing memory systems, building multi-agent coordination, evaluating agent performance, or developing LLM-powered pipelines. Covers context fundamentals, degradation patterns, optimization techniques (compaction, masking, caching), compression strategies, memory architectures, multi-agent patterns, LLM-as-Judge evaluation, tool design, and project development.
Azure SQL Database best practices skill for optimizing T-SQL code, database configuration, indexing strategies, and application patterns. Based on Microsoft SQL Assessment API, SSDT Code Analysis rules, Azure SQL Database performance guidance, and official Microsoft best practices. Use this skill when writing, reviewing, or refactoring code that interacts with Azure SQL Database.
Manage people performance with Lattice's performance management platform.
Django performance code review. Use when asked to "review Django performance", "find N+1 queries", "optimize Django", "check queryset performance", "database performance", "Django ORM issues", or audit Django code for performance problems.
Design assessment blueprints mapping learning objectives to valid assessment types and create detailed rubrics with performance criteria. Use when planning assessments, creating rubrics, or ensuring constructive alignment. Activates on "create assessment blueprint", "design rubric", "assessment alignment", or "backwards design assessment".
Automated reproduction of comprehensive model evaluation benchmarks following the Benchmark Suite V3. Auto-activates for model benchmarking, comparison evaluation, or performance testing between AI models.