Use when implementing or debugging ANY network request, API call, or data fetching. Covers fetch API, React Query, SWR, error handling, caching, offline support, and Expo — from…
Use when optimizing Navan API call patterns for high-volume integrations — caching, batching, connection pooling, and pagination strategies.
Documentation conventions for NeMo-RL. Covers docs/index.md updates and docstring format. Do NOT use for: bug fixes, test fixes, dependency bumps, refactoring, CI/CD changes,…
Network Latency Tester - Auto-activating skill for Performance Testing. Triggers on: network latency tester, network latency tester Part of the Performance Testing skill category.
Use when a Node.js process is growing memory unbounded in production, hits OOM, restarts on schedule, or shows monotonic RSS in Grafana.
Debugs native module crashes, optimizes V8 performance, configures node-gyp builds, writes N-API/node-addon-api bindings, and diagnoses libuv event loop issues in Node.js.
Optimize Notion API usage to minimize rate-limit pressure, reduce engineering overhead, and maximize throughput.
Optimize Notion API performance with caching, batching, parallel requests, and incremental sync. Use when experiencing slow API responses, implementing caching strategies,…
Best practices for NumPy array programming, numerical computing, and performance optimization in Python
Configure and optimize Nx monorepo workspaces. Use when setting up Nx, configuring project boundaries, optimizing build caching, or implementing affected commands.
Configure and optimize Nx monorepo workspaces. Use when setting up Nx, configuring project boundaries, optimizing build caching, or implementing affected commands.
Handle Obsidian file system operations and throttling patterns. Use when processing many files, handling bulk operations, or preventing performance issues from excessive…
Operate as a ruthless OCI database platform DBA for DB systems, Autonomous Database, Exadata, backups, patching, performance triage, capacity, and IAM-scoped database operations.
Expert guide for diagnosing and fixing Odoo performance issues: slow queries, worker configuration, memory limits, PostgreSQL tuning, and profiling tools.
Configure caching on DataRaptors and Integration Procedures to cut response times, with cache-bust and freshness guarantees. NOT for platform-level org cache.
Use when diagnosing or improving runtime performance in OmniStudio assets: slow OmniScripts, Integration Procedures with high latency, DataRaptor caching, excessive API call…
Optimize user onboarding to reduce time-to-value and increase activation rates. Design clear paths to the "aha moment" through checklists, product tours, educational content, and…
Optimize costs and API usage for OneNote Graph API integrations with caching and batching strategies.
Use when analyzing online algorithms, competitive analysis, adversarial input, list update with move-to-front, online caching, paging, randomized marking, or…
Implement caching for OpenRouter API responses to reduce cost and latency. Use when optimizing repeat queries, building RAG systems, or reducing API spend.
Audits and rewrites AI agent instruction files (CLAUDE.md, GEMINI.md, .github/copilot-instructions.md) in any repo.
Використовуйте цей навик для аналізу та оптимізації кешування у Laravel/PHP-проєкті (Redis, File, Array cache).
Cloud-Kostenoptimierungsstrategien fuer Kubernetes-Workloads implementieren mit Tools wie Kubecost fuer Sichtbarkeit, Right-Sizing-Empfehlungen, horizontalem und vertikalem…
Optimizes Rails application performance. Use when investigating slow endpoints, eliminating N+1 queries, implementing caching strategies, profiling with Bullet or rack-mi — from…
Profile and optimize Shiny application performance using profvis, bindCache, memoise, async/promises, debounce/throttle, and ExtendedTask for long-running computations.
Optimizing Streamlit app performance. Use when apps are slow, rerunning too often, or loading heavy content. Covers caching, fragments, and static vs dynamic widget choices.
Optimize Palantir Foundry API performance with caching, batching, and pagination. Use when experiencing slow API responses, optimizing transform builds, or improving request…
Coordinates parallel investigation threads to simultaneously explore multiple hypotheses or root causes across different system areas.
Profile and optimize application performance. Use when diagnosing slow code, measuring CPU/memory usage, generating flame graphs, benchmarking functions, load testing APIs,…
Review code for performance issues and run benchmarks. Use when user asks to analyze performance, compare AILANG vs Python vs Go, run benchmarks, or review code for optimization…
Audit UI performance with Lighthouse and fix Core Web Vitals — LCP, CLS, INP. Fast UI is good UX. Use when optimising page load, fixing layout shift, reducing input delay,…
Performance audit methodology for codebases. Use when profiling applications, identifying bottlenecks, or optimizing hot paths.
Performance Baseline Creator - Auto-activating skill for Performance Testing. Triggers on: performance baseline creator, performance baseline creator Part of the Performance…
Expert performance testing and optimization specialist focused on measuring, analyzing, and improving system performance across all applications and infrastructure
Use when the project uses performance-critical features requiring optimization, load testing, profiling, or Core Web Vitals improvement
Performance optimization specialist for profiling, caching, and latency optimizationUse when "performance, latency, slow query, profiling, caching, optimization, N+1, connection…
Optimize application performance for speed, efficiency, and scalability. Use when improving page load times, reducing bundle size, optimizing database queries, or fixing…
Use this agent when you need to analyze code for performance issues, optimize algorithms, identify bottlenecks, or ensure scalability.
Performance profiling and bottleneck detection for Node.js, Python, and browser apps
Performance optimization mindset - knowing when to optimize, how to measure, where bottlenecks hide, and when "fast enough" is the right answerUse when "slow, performance,…
Implement Perplexity query sanitization, citation validation, result caching, and conversation context management for search workflows.
Optimize Perplexity Sonar API performance with caching, streaming, model routing, and batching. Use when experiencing slow API responses, implementing caching strategies, or…
Optimize Persona verification costs with template selection and caching. Use when working with Persona identity verification.
Optimize Persona API performance with batching and caching. Use when working with Persona identity verification.
Use when designing or reviewing Salesforce Platform Cache usage in Apex, including org cache versus session cache, cache-aside patterns, invalidation, and safe key design.
Write individual platform-native posts for X, LinkedIn, Instagram, and TikTok — with proper hooks, value-dense bodies, and CTAs optimized to each platform's format, audience, and…
Optimize PostHog performance: local flag evaluation, client batching config, event sampling, efficient HogQL queries, and serverless flush patterns.
Performance engineering principles — latency vs throughput, profile-before-optimize discipline, Big-O instincts for common patterns, allocation and GC pressure, data locality and…
Use when running an annual SaaS audit, doing category-level spend review, or rationalizing the supplier base — when the user needs to do a spend audit, spend categorization…
Detect the user's GPU and ffmpeg hardware encoders (NVENC, VAAPI, QSV, AMF) and persist the result to system-profile.json.
Build offline-first web apps with Service Workers, Workbox, background sync, and progressive enhancement strategies.
Build Progressive Web Apps (PWAs) with offline support, installability, and caching strategies. Trigger whenever the user mentions PWA, service workers, web app manifests,…
Add new backlog items (features, changes, bugs, refactors, pages, components, scenes, scripts, a11y, performance) with optional thinking rounds.
Optimize prompt systems for cache efficiency, stable prefixes, fork-safe reuse, compact summarization, and instruction budgets.
Caching strategies for LLM prompts including Anthropic prompt caching, response caching, and CAG (Cache Augmented Generation) Use when: prompt caching, cache prompt, resp — from…
Loaded when user builds with Anthropic API and needs to cut cost or latency via prompt caching. Covers TTL, cache breakpoints, stacking, invalidation, and measuring hit rate.
프롬프트 캐시 최적화 전략 — Dynamic Boundary 배치, 토큰 예산 관리, 정적/동적 영역 분리. Use when optimizing prompt structure, managing token budgets, or configuring CLAUDE.md layout for cache efficiency.
Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for syst — from…
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability. — from Asymmetric-al/core
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production.