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Found 1,578 Skills
Complete guide for Rust systems programming including ownership, borrowing, concurrency, async programming, unsafe code, and performance optimization
Query Google Search Console for SEO data - search queries, top pages, CTR opportunities, URL inspection, and sitemaps. Use when analyzing search performance, finding optimization opportunities, or checking indexing status.
Write high-performance JIT compilers and interpreters in the style of Mike Pall, creator of LuaJIT. Emphasizes trace-based compilation, aggressive optimization, and understanding CPU microarchitecture. Use when building JITs, interpreters, or any code where every cycle counts.
This skill should be used when the user asks to "field service", "work order", "dispatch", "technician", "FSM", "mobile field", "scheduling", "route optimization", or any ServiceNow Field Service Management development.
GraphQL schema and federation expert specializing in resolver optimization, subscriptions, and API gateway patterns
Reactuse delivers production-ready hooks that solve real-world problems. Built with a TypeScript-first approach, SSR compatibility, and tree-shaking optimization for modern React applications.
Plan multi-waypoint journeys with route optimization, feasibility analysis, and time budget constraints. Use when you need to plan trips with multiple stops or check if an itinerary is achievable.
Cloud CLI patterns for GCP and AWS. Use when running bq queries, gcloud commands, aws commands, or making decisions about cloud services. Covers BigQuery cost optimization and operational best practices.
Design protein sequences using ProteinMPNN inverse folding. Use this skill when: (1) Designing sequences for RFdiffusion backbones, (2) Redesigning existing protein sequences, (3) Fixing specific residues while designing others, (4) Optimizing sequences for expression or stability, (5) Multi-state or negative design. For backbone generation, use rfdiffusion or bindcraft. For ligand-aware design, use ligandmpnn. For solubility optimization, use solublempnn.
Complete guide for asyncio concurrency patterns including event loops, coroutines, tasks, futures, async context managers, and performance optimization
Building and training neural networks with PyTorch. Use when implementing deep learning models, training loops, data pipelines, model optimization with torch.compile, distributed training, or deploying PyTorch models.
1600+ lines of performance optimization mastery - profiling, rendering, memory, network, battery, APK size with production-ready code examples.