Optimize Linktree API integration performance with caching, batching, and rate limit strategies. Use when Linktree API calls are slow, hitting rate limits, or profile pages serve…
Multi-level caching strategies for LLM applications - semantic caching (Redis), prompt caching (Claude/OpenAI native), cache hierarchies, cost optimization, and Langfuse cost…
Implement or refactor a reusable LLM client layer for text-only or multimodal projects. Use when a project needs one final repo-local client module, OpenAI-compatible provider…
Cut LLM cost and latency with caching, model tiering, prompt diet, batching, and streaming UX. Use when the inference bill or response time needs engineering down.
Model the cost and latency of an LLM feature before it ships and surprises the bill. Use when asked to estimate LLM API costs, set a latency/token budget, decide which model tier…
Reduce LLM API costs without sacrificing quality. Covers prompt caching (Anthropic), local response caching, prompt compression, debouncing triggers, and cost analysis.
Use when you need to reduce LLM API spend, control token usage, route between models by cost/quality, implement prompt caching, or build cost observability for AI features.
Optimize LLM response latency with caching and architecture. TRIGGERS - Use when user needs help with llm-latency-optimizer related tasks.
Implement semantic and exact-match caching for LLM responses to reduce cost 40-60% and latency. Activate on: LLM caching, semantic cache, reduce API costs, cache AI responses.
Checks redundant fetches, N+1 loops, over-fetching, missing bulk operations, wrong caching scope. Use when auditing query efficiency.
Optimize and stress-test a logistics system end-to-end — chains route optimization, warehouse operations review, inventory demand forecasting, supply chain risk analysis, and…
Manage car logo fetching, scraping, and Vercel Blob storage in the logos package. Use when adding new car brand logos, updating logo sources, debugging brand name normalization,…
Optimize Lokalise API performance with caching, pagination, and bulk operations. Use when experiencing slow API responses, implementing caching strategies, or optimizing request…
Caching strategies for performance optimization — cache-aside, write-through, write-behind, TTL policies, eviction, and stampede prevention.
Run reproduce-first debugging. Use when tests fail, builds break, behavior regresses, errors occur, flaky behavior appears, performance drops unexpectedly, root cause is unknown,…
Optimize Lucidchart API integration performance with caching, batch shape operations, and pagination strategies.
Set and enforce performance budgets for Lightning Web Components: bundle-size limits per component, LCP/INP field targets, wire-adapter count caps, and CI-gate configuration using…
How LWC reactivity actually works after Spring '20 (API v48+) — every class field is reactive on reassignment, but @track is still required for in-place mutation of plain…
Diagnose and fix slow internet on macOS. Finds hidden bandwidth drains — VPNs (Cloudflare WARP, system VPN configs), iCloud sync (Desktop & Documents syncing dev projects),…
Optimize MaintainX API integration performance. Use when experiencing slow API responses, optimizing data fetching, or improving integration throughput with MaintainX.
CRITICAL: Use for Makepad 2.0 performance optimization and debugging. Triggers on: makepad performance, makepad debug, makepad profiling, makepad gc, new_batch, texture_c — from…
CRITICAL: Use for Makepad 2.0 performance optimization and debugging. Triggers on: makepad performance, makepad debug, makepad profiling, makepad gc, new_batch, texture_c — from…
Sets up server-state with TanStack Query (caching, mutations, optimistic updates, hydration) and picks the right client-state tool; used when wiring data fetching or untangling…
Implement intelligent API response caching with Redis, Memcached, and CDN integration. Use when optimizing API performance with caching.
Tracks infrastructure asset performance with maintenance planning, capital expenditure optimization, and end-of-life valuation.
Performance optimization guidance for .NET MAUI apps covering profiling, compiled bindings, layout efficiency, image optimization, resource dictionaries, startup time, trimming,…
Implement MCP resources that provide data and files to AI assistants - URIs, caching, and streaming
Diagnoses and resolves memory leaks in JavaScript/Node.js applications. Use when a user reports high memory usage, OOM errors, or wants to analyze heapsnapshots or run memory leak…
Node.js memory leak detection and heap profiling. node-memwatch heap diffing, V8 heap snapshots, GC event monitoring, heap growth trending, and leak remediation patterns.
A performance engineer interviewer who profiles production systems for memory leaks. Use this agent when you want to practice diagnosing memory growth patterns in Java or Python…
Memory Profiler Setup - Auto-activating skill for Performance Testing. Triggers on: memory profiler setup, memory profiler setup Part of the Performance Testing skill category.
Use when the user wants to push, publish, pause, kill, scale, duplicate, activate, lookalike, retarget, or set up paid ads on Meta, TikTok, Google Ads, Amazon, Reddit, LinkedIn,…
Optimize MindTickle API integration performance with caching, bulk progress queries, and webhook processing.
Set up CI/CD pipelines, automated publishing, and release workflows for Minecraft mods and plugins for 1.21.x.
Optimize Miro REST API v2 performance with caching, cursor pagination, request batching, and connection pooling for high-throughput integrations.
Optimize Mistral AI performance with caching, batching, and latency reduction. Use when experiencing slow API responses, implementing caching strategies, or optimizing request…
Audit Python MLX repos for lazy-eval, synchronization, compile, dtype, memory, progress, and benchmark issues.
MLX Swift - High-performance ML framework for Apple Silicon with lazy evaluation, automatic differentiation, and unified memory
Automated reproduction of comprehensive model evaluation benchmarks following the Benchmark Suite V3.
Automated reproduction of comprehensive model evaluation benchmarks following the Benchmark Suite V3.
Script realistic user flows in Python and fan them out across workers so agents can pressure-test services before rollout.
Expert guidance for Mojo, the programming language by Modular that combines Python's usability with C-level performance.
Monorepo governance patterns from Nx, Turborepo, and Changesets. Task graph execution, affected-only CI, remote caching, module boundary enforcement, shared config packages, and…
Navigate, manage, and optimize monorepos with Turborepo, Nx, pnpm workspaces, and Changesets. Covers cross-package impact analysis, selective builds, dependency graph…
Use when a monorepo is chosen to pick the workspace/tooling — pnpm/npm workspaces alone vs adding Turborepo for task orchestration and caching — based on app count, build…
moonrepo monorepo task-management guidelines. Apply when editing `.moon/` configs or `moon.yml` files.
MessagePack binary encoding for compact inter-agent payloads. Pack/unpack, typed arrays, extension types, streaming decoder, and performance comparison with JSON.
Control Tesla vehicles from macOS via the Tesla Owner API using teslapy (auth, list cars, status, lock/unlock, climate, charging, location, and extras).
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,…
🌐 CDN & Edge Networking — CDN & Edge Networking. Front Door/CloudFront/Cloud CDN, edge routing, caching, edge WAF.
Network Latency Tester - Auto-activating skill for Performance Testing. Triggers on: network latency tester, network latency tester Part of the Performance Testing skill category.
Configure Nginx web server for high-performance reverse proxy, load balancing, SSL/TLS, caching, and API gateway functionality.
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
Core distributed systems patterns - load balancing, caching, sharding, consistent hashing, message queues, rate limiting, CDN, Bloom filters, ID generation, replication, conflict…