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Found 2,363 Skills
Jetpack Compose UI standards for beautiful, sleek, minimalistic Android apps. Enforces Material 3 design, unidirectional data flow, state hoisting, consistent theming, smooth animations, and performance patterns. Use when building or reviewing Compose UI code to ensure modern, user-friendly, fast-loading interfaces that are standard across all apps.
Improve code performance without changing behavior. Use when code fails latency/throughput requirements. Covers profiling, caching, and algorithmic optimization.
Use when optimizing GitLab CI/CD pipelines for performance, reliability, or maintainability. Covers pipeline optimization and organizational patterns.
Profiles DAG execution performance including latency, token usage, cost, and resource consumption. Identifies bottlenecks and optimization opportunities. Activate on 'performance profile', 'execution metrics', 'latency analysis', 'token usage', 'cost analysis'. NOT for execution tracing (use dag-execution-tracer) or failure analysis (use dag-failure-analyzer).
Implement Customer.io load testing and scaling. Use when preparing for high traffic, load testing, or scaling integrations for enterprise workloads. Trigger with phrases like "customer.io load test", "customer.io scale", "customer.io high volume", "customer.io performance test".
Rust profiling skill for performance analysis. Use when generating flamegraphs from Rust binaries, measuring monomorphization bloat with cargo-llvm-lines, analysing binary size with cargo-bloat, microbenchmarking with Criterion, or interpreting inlined frames in profiles. Activates on queries about cargo flamegraph, cargo-bloat, cargo-llvm-lines, Criterion benchmarks, Rust performance profiling, or binary size analysis.
Swift 6.2 and SwiftUI performance optimization for iOS 26 clinic architecture codebases. Covers async/await concurrency patterns, Sendable/actor isolation, view/render performance, and animation performance while preserving modular MVVM-C boundaries across App, Feature, Domain, and Data layers. Use when profiling or optimizing Swift/SwiftUI behavior in clinic modules.
Takes raw campaign tracking data and generates a clean weekly status summary formatted for Slack, email, or a leadership meeting. This skill should be used when building a weekly campaign status update from spreadsheet data, generating a Slack-ready campaign summary, formatting campaign progress for a leadership meeting, turning a messy tracker into a status digest, creating a weekly roundup of creator campaign performance, summarizing campaign health across creators and platforms, preparing a Monday morning status post for your team channel, writing a campaign progress email for stakeholders, or condensing raw metrics into a scannable digest. For full ROI analysis, see campaign-roi-calculator-narrative-builder. For normalizing raw metrics first, see metrics-normalization-formatter. For tracking creator posting compliance, see creator-posting-compliance-tracker.
Parse raw text from an Instagram or TikTok Story insights screenshot and format it into a clean, spreadsheet-ready row with labeled fields. This skill should be used when parsing Story metrics from a screenshot, formatting Story insights for a spreadsheet, extracting metrics from a pasted Story screenshot, cleaning up Story analytics data, converting Story insights text into structured data, turning a Story performance screenshot into a row for the tracker, logging Story metrics into a spreadsheet, normalizing Story screenshot data, pulling numbers from a Story insights paste, organizing Story metrics from creator screenshots, processing a batch of Story screenshots into rows, building a Story metrics tracker from screenshots, or entering Story data from a screenshot into a sheet. For normalizing metrics from multiple sources into a unified table, see metrics-normalization-formatter. For calculating engagement rates and comparing to benchmarks, see engagement-rate-calculator-benchmarker.
Azure Application Insights SDK for .NET. Application performance monitoring and observability resource management. Use for creating Application Insights components, web tests, workbooks, analytics items, and API keys. Triggers: "Application Insights", "ApplicationInsights", "App Insights", "APM", "application monitoring", "web tests", "availability tests", "workbooks".
Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.
Use when reviewing Rust code for craft quality, when writing new Rust code that should follow professional patterns, or when the user asks to judge, audit, or improve Rust code against best practices. Covers type design, function signatures, trait architecture, error handling, visibility, macros, testing, and performance patterns.