Skill UI

Tracks and optimizes application response times using the response-time-tracker plugin, covering API endpoints, database queries, external calls, frontend rendering, and background jobs to highlight bottlenecks or SLO breaches.

Tracks CPU, memory, disk/network I/O, DB connections, and threads via the resource-usage-tracker plugin to reveal performance bottlenecks, recommend right-sizing, and guide cost-saving actions.

Provides Vast.ai-specific rate limit handling with backoff plus jitter, Idempotency key support, and queue-based throttling so API clients can retry safely under 429 responses and monitor headers for throughput control.

AI-assisted performance profiling for Windsurf projects, guiding users through baseline capture, data collection, Cascade analysis, and optimization recommendations to eliminate bottlenecks and predict improvements.

Provides best practices for handling Windsurf API rate limits, adding exponential backoff with jitter, idempotent retries, and queue-based throttling so clients can recover from 429s and maintain throughput.

Provides durable workflow automation guidance for AI agents, covering platforms like n8n, Temporal, Inngest and patterns such as sequential, parallel, and orchestrator-worker flows to turn brittle scripts into production-grade orchestration.

Comprehensive performance profiling for Node.js, Python, and Go apps that spots CPU, memory, I/O, bundle, and database bottlenecks plus runs load tests, always measuring before and after optimizations.

Guides a focused Django code review that verifies ORM/query inefficiencies like N+1 queries, unbounded querysets, and missing indexes before reporting, ensuring evidence-backed findings for production bottlenecks.

Diagnose and fix Odoo performance bottlenecks by tuning PostgreSQL queries, adjusting worker/memory limits, and applying profiling insights to achieve faster page loads and stable production behavior.

A comprehensive guide and methodology for identifying, measuring, and fixing performance bottlenecks across the entire stack. This skill covers optimizing database queries (e.g., N+1 problems, missing indexes), improving API efficiency (caching, parallel processing), and enhancing frontend performance (memoization, code splitting, image optimization). It emphasizes the critical 'Measure First' principle to ensure all optimizations are data-driven and effective.

Implements rate limiting and throttling controls via token bucket, sliding window, and fixed window strategies with Redis counters, gateway plugins, or middleware, returning HTTP 429/Retry-After to defend auth and API endpoints from brute force, abuse, and resource exhaustion.

Evaluates API rate limiting controls for bypass vulnerabilities by probing headers, IPs, methods, versions, and encodings, ensuring throttling defenses hold up during brute-force, credential stuffing, or DoS assessments.