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Found 193 Skills
Diagnoses bottlenecks and designs performance optimization plans.
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".
Structured performance profiling workflow. Identifies bottlenecks, measures against budgets, and generates optimization recommendations with priority rankings.
Use this skill when users need to stress test their business model, identify scale limitations, find bottlenecks, determine if they're trading time for money, or evaluate unit economics. Activates for "can this scale," "what breaks at 10x," or business model viability questions.
Designs and implements state transition analysis systems for tracking time spent in different states. Use when analyzing workflows with state changes (Jira, GitHub PRs, deployments, support tickets, etc.). Covers state machine fundamentals, temporal calculations, bottleneck detection, and business metrics. Trigger keywords: "state analysis", "duration tracking", "workflow metrics", "bottleneck", "cycle time", "state transitions", "time in status", "how long", "state duration", "workflow performance", "state machine", "changelog analysis", "SLA tracking", "process metrics".
Performance analysis coordination workflow. Guides profiling delegation, bottleneck classification (compute/memory/launch/communication/sync), and structured report generation. Use when the user asks to analyze performance, profile a workload, check MFU/SOL, or diagnose bottlenecks.
Visualize and optimize workflow with Kanban boards. Use when managing team work, identifying bottlenecks, improving delivery flow, or implementing continuous improvement in product development.
Golang performance optimization patterns and methodology - if X bottleneck, then apply Y. Covers allocation reduction, CPU efficiency, memory layout, GC tuning, pooling, caching, and hot-path optimization. Use when profiling or benchmarks have identified a bottleneck and you need the right optimization pattern to fix it. Also use when performing performance code review to suggest improvements or benchmarks that could help identify quick performance gains. Not for measurement methodology (see golang-benchmark skill) or debugging workflow (see golang-troubleshooting skill).
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.
Handles MMKV storage operations and data persistence patterns with encryption. Use when implementing data persistence, caching, or user preferences in Fitness Tracker App.
Automates creation of MobX State Tree stores following Fitness Tracker App patterns for domain models, collections, and root store integration. Use when creating new MST stores, models, or extending existing store functionality with proper TypeScript typing, actions, views, and integration patterns.