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Found 1,760 Skills
Access and compare Israeli supermarket prices using mandatory Price Transparency Law data feeds. Use when user asks about "supermarket prices Israel", "price comparison Shufersal", "Rami Levy prices", "grocery prices", "Price Transparency Law", "shopping list optimizer", "food costs Israel", or "השוואת מחירי סופר". Covers chain-specific XML feed parsing, cross-chain price comparison, shopping list optimization, price trend tracking, and restaurant ingredient cost analysis. Do NOT use for restaurant operations (use israeli-restaurant-ops) or non-food retail prices.
Guides enterprise-scale cloud architecture—multi-BU landing zones and federation, cloud Center of Excellence governance, enterprise agreement and commit strategy, org-wide FinOps and chargeback, regulated-workload patterns (residency, segmentation), hybrid integration with identity and ERP, and architecture review board standards for large organizations. Use when designing cloud at hundreds of accounts, steering CCoE policy, EA/MACC optimization, sovereign or regulated cloud placement, or executive cloud governance—not for single-product cloud designs (cloud-architect), hands-on service config (cloud-engineer), SOC 2 evidence automation (compliance-engineer), general cross-domain ADRs (senior-system-architecture), or enterprise AI copilot architecture (applied-ai-architect-commercial-enterprise), or VP-level cloud program portfolio and board narratives (vp-of-cloud).
Systematic approach to exploring the TensorRT-LLM codebase before implementing new features or optimizations. Teaches how to discover existing infrastructure, trace code paths, and avoid reimplementing what already exists. Derived from real mistakes where ~250 lines of code were written and deleted because existing forward methods weren't discovered upfront. Use when starting any new feature, optimization, or code modification in TRT-LLM.
Optimize existing Triton kernels for NVIDIA TileIR backend on Blackwell GPUs (sm_100+). Adds TileIR-specific autotune configs: occupancy, num_ctas, TMA descriptors. Covers kernel classification (dot-related, norm-like, elementwise, reduction), type-specific transformations, and PTX-vs-TileIR benchmarking. Triggered by: "optimize for TileIR", "add TileIR configs", "Blackwell optimization", "TMA descriptors", "2CTA mode", "occupancy tuning". Kernels use standard `import triton`; TileIR activates via ENABLE_TILE=1 when nvtriton is installed.
Performance optimization coordination playbook. Contains specialist routing table, TileIR two-step pipeline, kernel generation specialist selection, prioritization criteria, and safe modification workflow. Use when the user asks to apply optimizations, write kernels, or improve performance. Covers both user-specified optimization and autopilot-driven iterative optimization.
Choose the right MoE token dispatcher (`alltoall`, DeepEP, or HybridEP) for the hardware, EP degree, and optimization stage. Summarizes patterns from DSV3, Qwen3, Qwen3-Next, and VLM bring-up work.
Conversion optimization — product detail pages, video hooks, urgency tactics, checkout flow
Guides creation and modification of ASP.NET Core Web API endpoints with correct HTTP semantics, OpenAPI metadata, and error handling. USE FOR: adding new API endpoints (controllers or minimal APIs), wiring up OpenAPI/Swagger, creating .http test files, setting up global error handling middleware. DO NOT USE FOR: general C# coding style, EF Core data access or query optimization (use optimizing-ef-core-queries), frontend/Blazor work, gRPC services, or SignalR hubs.
Use when you need to refactor Java code for high performance — including memory/allocation reduction, CPU hot-path optimization, and syntax/API/control-flow improvements. This should trigger for requests such as Review Java code for high performance; Optimize Java hot path; Reduce Java allocations; Improve Java latency/throughput. Part of cursor-rules-java project
Professional resume builder with PDF export, ATS optimization, and analysis capabilities. Use when users need to (1) Create new resumes from scratch, (2) Customize/tailor existing resumes for specific roles, (3) Analyze resumes and provide improvement recommendations, (4) Convert resumes to ATS-friendly PDF format. Supports chronological, functional, and combination resume formats.
Provides React 18/19 expertise including hooks, component patterns, performance optimization, state management, and Server Components. Use this skill for React component issues, hook errors, re-rendering problems, or state management challenges.
Run ACB (Anypoint Code Builder) system diagnostics to check if the machine meets minimum specifications and apply Windows optimizations if needed