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Found 217 Skills
Analyze candidate algorithms for time/space complexity, scalability limits, and resource-budget fit (CPU, memory, I/O, concurrency). Use when feasibility depends on input growth or latency/memory constraints and quantitative bounds are required before implementation; do not use for persistence schema or deployment topology decisions.
Discover optimal autoscaling parameters for a Deco site by analyzing Prometheus metrics. Correlates CPU, concurrency, and latency to find the right scaling target and method.
Use this skill when building Android applications with Kotlin. Triggers on Jetpack Compose UI, Room database, Kotlin coroutines, Play Store publishing, MVVM/MVI architecture, ViewModel, StateFlow, Hilt dependency injection, Navigation Compose, Material 3, APK/AAB builds, ProGuard, and Android app lifecycle management. Covers modern Android development with declarative UI, reactive state, structured concurrency, and production release workflows.
Opinionated modern Java (21+) coding best practices, style guides, and anti-patterns. Curated by VirtusLab engineers. Covers code style, null safety, error handling, immutability, testing, concurrency, and tooling.
Linux (Ubuntu/Debian) server initial setup and ongoing administration skill. Covers new server hardening, user management, package management, file permissions, resource limits, log rotation, cron scheduling, and disk management. USE WHEN: - Performing initial setup of a fresh Ubuntu/Debian server (VPS, bare metal, cloud VM) - Hardening SSH, disabling root login, configuring sudo - Configuring system-level resource limits (ulimits, sysctl) for high-concurrency workloads - Managing users, groups, file permissions, and ACLs - Setting up log rotation, journald retention, swap, and NTP - Troubleshooting disk full, FD exhaustion, locale errors, or time drift DO NOT USE FOR: - Container-level administration (use docker or kubernetes skill) - Application deployment pipelines (use deployment-strategies or ci-cd skill) - Firewall/fail2ban configuration (use firewall skill) - Nginx or service configuration (use nginx or systemd skill)
Correct usage of context.Context in Go: propagation, cancellation, timeouts, deadlines, values, and common anti-patterns. Use when: "context usage", "context.Context", "context cancellation", "timeout", "context.WithTimeout", "context.WithCancel", "context values", "context propagation". Do NOT use for: concurrency patterns beyond context (use go-concurrency-review), HTTP middleware context (use go-api-design), or error handling (use go-error-handling).
Idiomatic Go design patterns: functional options, builder, factory, strategy, middleware chain, pub/sub, and other patterns adapted for Go's type system. Use when: "design pattern", "functional options", "builder pattern", "factory pattern", "strategy pattern", "middleware chain", "option pattern", "how to structure this". Do NOT use for: interface design principles (use go-interface-design), package layout (use go-architecture-review), or concurrency patterns (use go-concurrency-review).
Database and HTTP connection pooling patterns for Python async applications. Use when configuring asyncpg pools, aiohttp sessions, or optimizing connection lifecycle in high-concurrency services.
Review code for performance: complexity, database/query efficiency, I/O and network cost, memory and allocation behavior, concurrency contention, caching, and latency/throughput regressions. Cognitive-only atomic skill; output is a findings list.
Master Python asynchronous programming with asyncio, async/await, and concurrent.futures. Use for async code and concurrency patterns.
Use when building Go applications requiring concurrent programming, microservices architecture, or high-performance systems. Invoke for goroutines, channels, Go generics, gRPC integration.
Expert in asynchronous programming patterns across languages (Python asyncio, JavaScript/TypeScript promises, C# async/await, Rust futures). Use for concurrent programming, event loops, async patterns, error handling, backpressure, cancellation, and performance optimization in async systems.