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 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.
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…
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.
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…
Manage persistent Knowledge Graph for specifications. Provides read, query, update, and validation capabilities for codebase analysis caching.
Strict technical code review for Kotlin Jetpack Compose. Analyzes @Composable functions for recomposition issues, stability violations, memory leaks, state management…
Automatically optimizes Cloudflare KV storage patterns, suggesting parallel operations, caching strategies, and storage choice guidance
Use when writing, reviewing, debugging, or documenting LanceDB pipelines in Python or TypeScript, especially code that should work across local LanceDB OSS tables and remote…
Optimize LangChain API costs with token tracking, model tiering, caching, prompt compression, and budget enforcement.
Build composable middleware for LangChain 1.0 chains and LangGraph 1.0 agents — PII redaction, caching, retry, token budgets, guardrails — with ORDERING rules that avoid cache-key…
Optimize LangChain application performance: latency, throughput, streaming, caching, batch processing, and connection pooling.
Extracts traces, observations, and metrics from Langfuse Cloud (EU) API for debugging, telemetry analysis, and regulatory audit trails.
Debug LangChain and LangGraph agents by fetching execution traces from LangSmith Studio. Use when debugging agent behavior, investigating errors, analyzing tool calls, ch — from…
Debug LangChain and LangGraph agents by fetching execution traces from LangSmith Studio. Use when debugging agent behavior, investigating errors, analyzing tool calls, ch — from…
Debug LangChain and LangGraph agents by fetching execution traces from LangSmith Studio. Use when debugging agent behavior, investigating errors, analyzing tool calls, ch — from…
C# and .NET idioms — .NET 8 LTS, csproj, C# NRT, records, value semantics, switch expressions, async/await, Task, ValueTask, CancellationToken, ConfigureAwait, dependency…
Surgically injects trace macros (TRACE_EVENT) into Chromium C++ files to expose "black box" latency gaps, resolves headers, and compiles the browser using a self-healing loop.
Per-call and aggregated latency tracking for MEV infrastructure. Use when implementing performance monitoring or debugging slow operations.
A library of real, hard-won website-launch failure modes — each with what happened, the root cause, and how to prevent it.
Expert in Ethereum L2 solutions - Optimism, Arbitrum, zkSync, Base, and rollup architecture for scalable dApp developmentUse when "layer 2, l2, optimism, arbitrum, zksync, base,…
Use for implementing features, writing production TypeScript/Langium code, code review guidance, and ensuring technical quality.
Scans Rust code for edition-specific patterns and deprecated APIs, then migrates to a target edition (2015 → 2018 → 2021 → 2024) or updates breaking crate API changes (tokio 0.x →…
Complete guide for Light Protocol on Solana - includes ZK Compression for rent-free compressed tokens and PDAs using zero-knowledge proofs, and the Light Token Program for…
Manage and optimize Lindy AI rate limits. Use when hitting rate limits, optimizing API usage, or implementing rate limit handling.
Optimize Linear API queries, caching, and batching for performance. Use when improving response times, reducing API calls, or implementing caching strategies for Linear data.
Select and configure linear solvers for Ax=b systems arising in numerical simulations — choose between direct (LU, Cholesky) and iterative (CG, GMRES, BiCGSTAB, MINRES) methods,…
Guides optimal Linear operations usage with caching, performance patterns, and error handling. Auto-activates when implementing CCPM commands that interact with Linear.