Gpu Resource Optimizer - Auto-activating skill for ML Deployment. Triggers on: gpu resource optimizer, gpu resource optimizer Part of the ML Deployment skill category.
Grades and improves CLAUDE.md (Claude Code) and AGENTS.md (Codex/OpenCode) configuration files. Use when asked to grade, score, evaluate, audit, review, improve, fix, optimize, or…
Optimize Grammarly API performance with caching, batching, and connection pooling. Use when experiencing slow API responses, implementing caching strategies, or optimizing request…
Use when solving or proving greedy algorithms, including activity selection, fractional knapsack, Huffman coding, offline caching, exchange arguments, greedy-choice property,…
Optimize Groq API performance with model selection, caching, streaming, and parallel requests. Use when experiencing slow responses, implementing caching strategies, or optimizing…
High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection — from…
High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection — from…
High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection — from…
Toolkit de alta performance para análise de intervalos genômicos em Rust com bindings Python. Use ao trabalhar com regiões genômicas, arquivos BED, tracks de cobertura, detecção…
High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection — from…
High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection — from…
Optimize Guidewire performance: Gosu query optimization, batch processing, caching, and JVM tuning. Trigger: "guidewire performance tuning", "performance-tuning".
Use when a level has performance, physics, or layout problems — combines editor_stream_log, scene_validate_physics, and scene_export hierarchical mode to find issues.
Canonical recipe for generating type-class instances with cached defs via ValDefsCache. forwardDeclare, buildCachedWith, toValDefs.use, parTuple for parallel derivation.
Optimize Hex API performance with caching, batching, and connection pooling. Use when experiencing slow API responses, implementing caching strategies, or optimizing request…
Guidelines for building edge-first, high-performance APIs with Hono and TypeScript for Cloudflare Workers, Deno, Bun, and Node.js
Audits Claude Code hooks for correctness, safety, and performance. Use when reviewing, validating, or debugging hooks, checking exit codes, error handling, or learning hook best…
Provides guidance on optimizing CCPM hooks for performance and token efficiency. Auto-activates when developing, debugging, or benchmarking hooks.
Optimize Hootsuite API performance with caching, batching, and connection pooling. Use when experiencing slow API responses, implementing caching strategies, or optimizing request…
Find algorithmic complexity and performance hotspots across a codebase, then optimize them safely behind tests without changing behavior.
Use for Houdini — VEX, HDAs, Pyro/FLIP/Vellum/RBD, caching, Solaris/Karma, hython, PDG.
Use when auditing, reviewing, optimizing or cleaning up the HPG codebase — Code-Review, Performance-Analyse, tote Konstanten, Modul-Duplikate, Batch-Größen, librosa-Speicher,…
Generates an HTTP caching layer with Cache-Control parsing, ETag/conditional requests, and offline fallback.
Use HTTP caching correctly with etags, max-age, and stale-while-revalidate so clients and proxies reuse responses without serving stale data.
Measure SSR hydration timing and issues. Use when tracking hydration performance, debugging hydration mismatches, or optimizing SSR/SSG applications.
Diagnose performance issues on Amazon SageMaker HyperPod clusters — uneven NCCL bandwidth across nodes and poor filesystem throughput. Read-only.
Optimize IC10 code for efficiency and line count. Use when user wants to reduce line count, improve performance, or refactor existing Stationeers IC10 code.
Use when revising an IEEE ICDE paper for the first-page data-engineering contract, a reconstructable mechanism description, the running-example device, performance claims scoped…
Idempotent API operations with idempotency keys, Redis caching, DB constraints. Use for payment systems, webhook retries, safe retries, or encountering duplicate processing, race…
Optimize Ideogram API performance with caching, model selection, and parallel generation. Use when experiencing slow generation, implementing caching strategies, or optimizing…
Use when reviewing, validating, or auditing IfcOpenShell Python code for correctness. Runs systematic checks for schema compatibility errors, incorrect API usage (direct attribute…
Capture, optimize, and publish screenshots to Astro docs. Use when asked to take screenshots for docs, update doc images, compress PNG assets, or add visual documentation to the…
Implement query result caching with Redis and proper invalidation strategies for Prisma 6. Use when optimizing frequently accessed data, improving read-heavy application…
Iteratively optimize cuTile kernel performance through systematic profiling, bottleneck analysis, IR comparison, and targeted tuning.
Use when you want measured, behavior-preserving improvements, not speculative refactors. For profiling-led hot-path optimization specifically, see code-ops-suite:performance.
Refactor and improve code quality. Use for code refactoring, performance optimization, and quality improvements. Includes Context7 refactoring patterns lookup.
Guide for optimizing MSBuild incremental builds. Only activate in MSBuild/.NET build context. USE FOR: builds slower than expected on subsequent runs, 'nothing changed but it…
Inference Latency Profiler - Auto-activating skill for ML Deployment. Triggers on: inference latency profiler, inference latency profiler Part of the ML Deployment skill category.
Pick attention implementation, KV cache strategy, quantization, and speculative decoding for a new inference deployment. Use when you need help with inference optimizer.
Use when you have trained two or more graph neural network models on the same CCS dataset split (using identical hyperparameters, loss functions, and optimization settings) and…
Systematic token-saving strategies using InferenceOS local context, caching, and session persistence to reduce Claude Code subscription usage.
Methods for determining the optimal resource allocation for compute, database, and network systems to balance cost and performance.
Finds and eliminates wasted cloud spend without sacrificing reliability or performance. Use when asked to infrastructure cost optimiser. Suggest when relevant.
Optimize cloud infrastructure costs through resource rightsizing, reserved instances, spot instances, and waste reduction strategies.
Reserved and on-demand GPU cloud instances for ML training and inference. Use when you need dedicated GPU instances with simple SSH access, persistent filesystems, or hig — from…
Generate comprehensive network infrastructure reports including health status, performance analysis, security audits, and capacity planning recommendations.
Optimize Instantly.ai API performance with caching, batching, and connection pooling. Use when experiencing slow API responses, implementing caching strategies, or optimizing…
Optimize a B2B SaaS vendor's own listing on a third-party app marketplace - Salesforce AppExchange, HubSpot, Atlassian Marketplace, Shopify App Store, Slack, or comparable…
Multi-layer caching with type-specific TTLs, get-or-generate pattern, memory and database layers, and graceful invalidation without cache stampede.
Optimize Intercom API performance with caching, search optimization, and pagination. Use when experiencing slow API responses, implementing caching strategies, or optimizing…
Analyzes and optimizes internal link structure to improve site architecture, distribute page authority, and help search engines understand content relationships.
Write, review, or improve Jetpack Compose UI using Material Design 3, adaptive layout/navigation patterns, and modern Compose state/performance practices.
Expert-level skill for Jira Query Language (JQL). Use when the user asks about writing, debugging, optimizing, or understanding JQL queries; needs to filter Jira issues by complex…
Use when diagnosing or improving jQuery performance covering selector efficiency, DOM operation batching, event delegation, memory management, and render-blocking reduction.
JavaScript and TypeScript best practices covering naming conventions, control flow, state management, TypeScript patterns (avoid any/enum, prefer type over interface), safety…
Write JavaScript/TypeScript that is performant, readable, and easy to trust with minimal inspection. Use when generating or reviewing JS/TS code—scripts, utilities, data…
Эксперт k6 нагрузочного тестирования. Используй для performance testing, load scenarios и stress tests.
Improves Kirby performance and media delivery (cache tuning, CDN, responsive images, lazy loading). Use when optimizing page speed, caching, or image handling.
Improve Kirby performance and media delivery (cache tuning, CDN, responsive images, lazy loading). Use when optimizing page speed, caching, or image handling.
Optimize Klaviyo API performance with caching, batching, and pagination tuning. Use when experiencing slow API responses, implementing caching strategies, or optimizing request…