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Found 417 Skills
When the user wants to optimize inventory levels, calculate safety stock, determine reorder points, or minimize inventory costs. Also use when the user mentions "inventory management," "safety stock," "EOQ," "reorder point," "service level," "stockout prevention," "ABC analysis," "inventory turns," or "working capital reduction." For warehouse slotting, see warehouse-slotting-optimization. For multi-echelon systems, see multi-echelon-inventory.
Teaches the data provider pattern using renderless components and scoped slots. Use when you need to abstract data fetching or state management logic and expose it to child components via slots.
When the user wants to optimize picker routes, minimize travel distance in warehouses, or improve picking efficiency. Also use when the user mentions "pick path optimization," "warehouse routing," "travel distance minimization," "TSP in warehouses," "S-shape routing," or "optimal pick sequence." For order batching, see order-batching-optimization. For warehouse slotting, see warehouse-slotting-optimization.
Comprehensive UI/UX quality audit covering visual hierarchy, accessibility, AI slop detection, typography, colour, layout, interaction states, responsive behaviour, performance, and microcopy. Produces severity-rated findings with actionable...
Generate, write, or run an ad-hoc query against SigNoz observability data — metrics, logs, traces, or exceptions — without wrapping it in a dashboard panel or alert. Make sure to use this skill whenever the user asks "show me error rates", "query logs for timeout errors", "what's the p99 latency for the cart service", "how many requests hit the payment endpoint", "find slow traces", "errors in the last hour", or otherwise asks an exploratory question that needs live observability data — even if they don't say "query" or "search" explicitly.
Diagnoses and optimises slow SQL queries using EXPLAIN ANALYZE. Covers identifying bottlenecks (sequential scans, bad estimates, heap fetches), index strategy, query rewrites, and verification. Invoked when the user asks to optimize a query, fix a slow database query, or improve database performance.
Use when defining SLIs/SLOs, managing error budgets, or building reliable systems at scale. Invoke for incident management, chaos engineering, toil reduction, capacity planning.
Use when building reliable and scalable distributed systems.
Comprehensive toolkit for generating best practice PromQL (Prometheus Query Language) queries following current standards and conventions. Use this skill when creating new PromQL queries, implementing monitoring and alerting rules, or building observability dashboards.
This skill should be used when the user wants to remove AI writing patterns from prose. Use when drafting, editing, or reviewing text to eliminate predictable AI tells.
Correlates performance targets with actual profiling results. Identifies bottlenecks and validates against non-functional requirements.
Use when designing easing curves, controlling motion pacing, creating natural acceleration/deceleration, or making movements feel physically grounded.