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Found 1,569 Skills
When the user wants to optimize maintenance strategies, improve equipment reliability, reduce downtime, or implement predictive maintenance. Also use when the user mentions "preventive maintenance," "predictive maintenance," "TPM," "Total Productive Maintenance," "MTBF," "MTTR," "reliability analysis," "equipment maintenance," "condition monitoring," "CBM," "failure analysis," or "spare parts optimization." For quality improvements, see quality-management. For OEE, see lean-manufacturing.
When the user wants to solve VRP with Backhauls (VRPB), optimize routes with both deliveries and pickups, or handle reverse logistics. Also use when the user mentions "VRPB," "backhaul optimization," "linehaul and backhaul," "delivery and pickup routes," "reverse logistics," or "return pickups." Backhauls are pickups that occur AFTER all deliveries on a route. For paired pickup-delivery, see pickup-delivery-problem.
React Native mobile development. Core components, navigation (React Navigation), platform-specific code, native modules, performance optimization, and debugging. USE WHEN: user mentions "React Native", "react-native", "mobile app with React", "cross-platform mobile", "RN", "react-native-cli" DO NOT USE FOR: Expo-specific features - use `expo`; Flutter - use `flutter`; web React - use `react` skills
Runs Visual Regression Testing (VRT) locally to prevent disqualification in Web Speed Hackathon. Captures screenshots, compares against baselines, updates snapshots, and validates visual integrity after performance optimizations. Use when optimizing WSH apps, running VRT checks, updating VRT baselines, or investigating VRT failures.
SEO methodologies, keyword research techniques, and optimization strategies for search engine visibility
When the user wants to optimize hotel room inventory, manage rate strategies, or improve revenue management. Also use when the user mentions "hotel revenue management," "room allocation," "yield management," "dynamic pricing," "overbooking optimization," "distribution channel management," or "hotel capacity planning." For tour operations, see tour-operations. For hospitality procurement, see hospitality-procurement.
Jito bundle submission for MEV protection on Solana — bundle building, tip strategies, block engine endpoints, and landing rate optimization
When the user wants to optimize markdown strategy, price optimization for clearance, or minimize inventory markdowns. Also use when the user mentions "markdown," "clearance pricing," "price elasticity," "promotional pricing," "discount optimization," "sell-through," "inventory liquidation," or "dynamic pricing." For initial allocation, see retail-allocation. For promotional planning, see promotional-planning.
When the user wants to optimize delivery routes, solve vehicle routing problems, or minimize transportation costs. Also use when the user mentions "route planning," "delivery optimization," "VRP," "TSP," "multi-stop routing," "route sequencing," or "dispatch optimization." For fleet sizing and management, see fleet-management. For last-mile specific challenges, see last-mile-delivery.
When the user wants to optimize truck loading, load delivery vehicles, or plan vehicle capacity utilization. Also use when the user mentions "truck loading," "delivery vehicle optimization," "van loading," "cargo van packing," "multi-drop vehicle loading," "delivery route loading," "axle weight distribution," or "vehicle utilization." For container loading, see container-loading-optimization. For route optimization, see route-optimization.
When the user wants to model inventory systems with uncertain demand, optimize safety stock levels, implement (s,S) or (Q,r) policies, or analyze service levels under uncertainty. Also use when the user mentions "stochastic inventory," "probabilistic inventory," "(Q,r) policy," "(s,S) policy," "base stock policy," "safety stock optimization," "service level constraints," "lead time demand distribution," "fill rate calculation," or "inventory with demand uncertainty." For deterministic models, see economic-order-quantity or lot-sizing-problems. For single-period uncertainty, see newsvendor-problem.
Migrate GPU/CUDA Triton operators to Triton-Ascend, or rewrite Python/PyTorch operators into Triton-Ascend implementations that can run on Ascend NPU. When clear optimization opportunities are identified, directly output the optimized code, minimal validation script, and troubleshooting instructions. This skill should be prioritized when users mention 昇腾 (Ascend), Ascend, NPU, triton-ascend, Triton operator migration, PyTorch operator rewriting, coreDim, UB overflow, 1D grid, physical core binding, block_ptr, stride, memory access alignment, mask performance, dtype degradation, operator optimization, or directly ask questions like "How to use this skill", "How to run it in the command line", "How to perform migration/validation in a container", even if users do not explicitly say "write a skill" or "perform migration".