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Found 274 Skills
Systematic performance analysis and optimization. Use when things are slow, need optimization, or preparing for scale.
Optimize CodeRabbit API performance with caching, batching, and connection pooling. Use when experiencing slow API responses, implementing caching strategies, or optimizing request throughput for CodeRabbit integrations. Trigger with phrases like "coderabbit performance", "optimize coderabbit", "coderabbit latency", "coderabbit caching", "coderabbit slow", "coderabbit batch".
Optimize Daft UDF performance. Invoke when user needs GPU inference, encounters slow UDFs, or asks about async/batch processing.
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.
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."
Use when starting a new Xiaohongshu account from zero, launching first content on fresh account, accelerating initial growth phase, reaching first 1000 followers, or overcoming slow start on new account
Use this skill when building dbt models, designing semantic layers, defining metrics, creating self-serve analytics, or structuring a data warehouse for analyst consumption. Triggers on dbt project setup, model layering (staging, intermediate, marts), ref() and source() usage, YAML schema definitions, metrics definitions, semantic layer configuration, dimensional modeling, slowly changing dimensions, data testing, and any task requiring analytics engineering best practices.
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.
Analyze and optimize slow SQL queries. Use when the user says a query is slow, asks to optimize or speed up SQL, wants to find anti-patterns, needs index recommendations, or asks for a query rewrite. Also use when EXPLAIN output shows full table scans or poor join strategies.
Expert knowledge for Azure App Service development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when choosing plans/ASE, configuring auth/TLS/Key Vault, CI/CD slots, VNet integration, or managed identity access, and other Azure App Service related development tasks. Not for Azure Functions (use azure-functions), Azure Container Apps (use azure-container-apps), Azure Spring Apps (use azure-spring-apps), Azure Static Web Apps (use azure-static-web-apps).
ByteHouse Slow Query Analysis and Performance Optimization Tool, used to identify and analyze slow queries, provide query performance optimization suggestions, view query execution plans, and analyze query historical trends. Use this Skill when you need to identify and analyze slow queries in ByteHouse database, get query performance optimization suggestions, view query execution plans, or analyze query historical trends.
Use when defining SLIs/SLOs, managing error budgets, or building reliable systems at scale. Invoke for incident management, chaos engineering, toil reduction, capacity planning.