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Found 112 Skills
Hunt performance bottlenecks with swift precision. Stalk the slow paths, pinpoint the prey, streamline the code, catch the gains, and celebrate the win. Use when optimizing performance, profiling code, or hunting for speed.
Profiles DAG execution performance including latency, token usage, cost, and resource consumption. Identifies bottlenecks and optimization opportunities. Activate on 'performance profile', 'execution metrics', 'latency analysis', 'token usage', 'cost analysis'. NOT for execution tracing (use dag-execution-tracer) or failure analysis (use dag-failure-analyzer).
Handle Linear API rate limiting and quotas effectively. Use when dealing with rate limit errors, implementing throttling, or optimizing API usage patterns. Trigger with phrases like "linear rate limit", "linear throttling", "linear API quota", "linear 429 error", "linear request limits".
TanStack Pacer for rate limiting, throttling, debouncing, and async queuing. Use when controlling execution frequency, managing API rate limits, debouncing user input, or queuing async tasks. Use for pacer, throttle, debounce, rate-limit, queue, async-throttle, rate-limiting.
Performance profiling and bottleneck detection for Node.js, Python, and browser apps
Analyze code performance, detect bottlenecks, suggest optimizations for algorithms, queries, and resource usage. Use when improving application performance or investigating slow code.
Implement Documenso rate limiting, backoff, and request throttling patterns. Use when handling rate limit errors, implementing retry logic, or optimizing API request throughput for Documenso. Trigger with phrases like "documenso rate limit", "documenso throttling", "documenso 429", "documenso retry", "documenso backoff".
You must use this when seeking cross-domain analogies, applying first-principles reasoning, or overcoming creative bottlenecks.
Comprehensive performance specialist covering analysis, optimization, load testing, and framework-specific performance. Use when identifying bottlenecks, optimizing code, conducting load tests, analyzing Core Web Vitals, fixing memory leaks, or improving application performance across all layers (application, database, frontend). Includes React-specific optimization patterns.
Analyze and optimize Xano workspace performance. Use when the user wants to find slow endpoints, trace execution bottlenecks, deep-dive request stacks, or understand why their Xano API is slow. Also use when the user mentions "performance," "slow endpoint," "bottleneck," "stack trace," or "optimization."
Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.
Optimize application performance for speed, efficiency, and scalability. Use when improving page load times, reducing bundle size, optimizing database queries, or fixing performance bottlenecks. Handles React optimization, lazy loading, caching, code splitting, and profiling.