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Found 514 Skills
Optimize Supabase API performance with caching, batching, and connection pooling. Use when experiencing slow API responses, implementing caching strategies, or optimizing request throughput for Supabase integrations. Trigger with phrases like "supabase performance", "optimize supabase", "supabase latency", "supabase caching", "supabase slow", "supabase batch".
iOS debugging and troubleshooting skills. Used when users need to investigate and diagnose issues such as crashes, exceptions, runtime errors, memory leaks, memory growth, unreleased ViewController, UI lag, frame drops, slow startup, etc. Provides crash type identification, root cause analysis, LLDB commands and repair solutions.
Jetpack Compose expert skill for Android UI development. Guides state management decisions (@Composable, remember, mutableStateOf, derivedStateOf, State hoisting), view composition and structure, Modifier chains, lazy lists, navigation, animation, side effects, theming, accessibility, and performance optimization. Backed by actual androidx source code analysis. Use this skill whenever the user mentions Compose, @Composable, remember, LaunchedEffect, Scaffold, NavHost, MaterialTheme, LazyColumn, Modifier, recomposition, Style, styleable, MutableStyleState, or any Jetpack Compose API. Also trigger when the user says "Android UI", "Kotlin UI", "compose layout", "compose navigation", "compose animation", "material3", "compose styles", "styles api", or asks about modern Android development patterns. Even casual mentions like "my compose screen is slow" or "how do I pass data between screens" should trigger this skill.
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.
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 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.
Correlates performance targets with actual profiling results. Identifies bottlenecks and validates against non-functional requirements.
Produce a Platform & Infrastructure Improvement Pack (shared capabilities plan, reliability/performance/privacy targets, scaling triggers, analytics + discoverability decisions, execution roadmap). Use for platform engineering, infrastructure planning, scalability, reliability, and architecture foundations.