Optimize Shiny Performance
Skill Verified ActiveProfile and optimize Shiny application performance using profvis, bindCache, memoise, async/promises, debounce/throttle, and ExtendedTask for long-running computations. Use when the app feels slow or unresponsive during user interaction, when server resources are exhausted under concurrent load, when specific operations create bottlenecks, or when preparing an app for production deployment with many concurrent users.
Profile and optimize Shiny application performance to address slowness, unresponsiveness, resource exhaustion, and bottlenecks, ensuring a smooth user experience and efficient production deployment.
Features
- Application profiling using profvis
- Reactive graph optimization
- Caching with bindCache and memoise
- Asynchronous operations with ExtendedTask and promises
- Debounce and throttle for high-frequency inputs
- Performance validation and benchmarking
Use Cases
- When a Shiny app feels slow or unresponsive during user interaction
- When server resources are exhausted under concurrent load
- When specific operations create performance bottlenecks
- When preparing an app for production deployment with many concurrent users
Non-Goals
- Diagnosing issues unrelated to application performance
- Performing general Shiny app development or debugging
- Optimizing application UI/UX beyond performance impacts
Installation
/plugin install agent-almanac@pjt222-agent-almanacQuality Score
VerifiedTrust Signals
Similar Extensions
Next Cache Components
100Next.js 16 Cache Components - PPR, use cache directive, cacheLife, cacheTag, updateTag
Performance Analysis
100Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
MongoDB Connection Optimizer
100Optimize MongoDB client connection configuration (pools, timeouts, patterns) for any supported driver language. Use this skill when working/updating/reviewing on functions that instantiate or configure a MongoDB client (eg, when calling `connect()`), configuring connection pools, troubleshooting connection errors (ECONNREFUSED, timeouts, pool exhaustion), optimizing performance issues related to connections. This includes scenarios like building serverless functions with MongoDB, creating API endpoints that use MongoDB, optimizing high-traffic MongoDB applications, creating long-running tasks and concurrency, or debugging connection-related failures.
Sql Optimization
100Universal SQL performance optimization assistant for comprehensive query tuning, indexing strategies, and database performance analysis across all SQL databases (MySQL, PostgreSQL, SQL Server, Oracle). Provides execution plan analysis, pagination optimization, batch operations, and performance monitoring guidance.
Core Web Vitals
100Optimize Core Web Vitals (LCP, INP, CLS) for better page experience and search ranking. Use when asked to "improve Core Web Vitals", "fix LCP", "reduce CLS", "optimize INP", "page experience optimization", or "fix layout shifts".
Build Shiny Module
100Build reusable Shiny modules with proper namespace isolation using NS(). Covers module UI/server pairs, reactive return values, inter-module communication, and nested module composition. Use when extracting a reusable component from a growing Shiny app, building a UI widget used in multiple places, encapsulating complex reactive logic behind a clean interface, or composing larger applications from smaller, testable units.