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Found 230 Skills
nginx C module performance optimization and reliability guidelines based on the official nginx development guide. This skill should be used when optimizing nginx C modules for throughput, latency, memory efficiency, and operational resilience. Triggers on tasks involving buffer optimization, connection tuning, shared memory contention, error recovery, timeout strategy, caching implementation, worker process tuning, or logging performance in nginx C modules.
Nginx configuration and optimization
Provides comprehensive Nx monorepo management guidance for TypeScript/JavaScript projects. Use when creating Nx workspaces, generating apps/libraries/components, running affected commands, setting up CI/CD, configuring Module Federation, or implementing NestJS backends within Nx
Save XNXX videos in HD with fast batch downloading
Monitor Nx Cloud CI pipeline and handle self-healing fixes automatically. Checks for Nx Cloud connection before starting.
Convert HuggingFace transformer models to ONNX format for browser inference with Transformers.js and WebGPU. Use when given a HuggingFace model link to convert to ONNX, when setting up optimum-cli for ONNX export, when quantizing models (fp16, q8, q4) for web deployment, when configuring Transformers.js with WebGPU acceleration, or when troubleshooting ONNX conversion errors. Triggers on mentions of ONNX conversion, Transformers.js, WebGPU inference, optimum export, model quantization for browser, or running ML models in the browser.
Nx monorepo management skill for AI-native development. This skill should be used when working with Nx workspaces, project graphs, affected detection, code generation, and caching. Use when analyzing dependencies, running affected commands, generating code, configuring Nx Cloud, or optimizing build performance. Invoke nx-mcp tools for documentation queries.
nginx C module development guidelines based on the official nginx development guide. This skill should be used when writing, reviewing, or refactoring nginx C modules to ensure correct memory management, request lifecycle handling, and event-driven patterns. Triggers on tasks involving nginx module development, ngx_http_module_t, handler/filter/upstream implementation, pool allocation, or nginx configuration directives.
This Skill summarizes common TypeScript issues and their solutions in Lynx development, mainly covering environment configuration, type extending, event handling, components, and ReactLynx advanced usages. Trigger Scenarios: - User inputs TypeScript error messages related to Lynx and seeks fix suggestions - LSP diagnoses Lynx-related TypeScript errors, proactively invoke query to get fix solutions - User asks about TypeScript best practices or common errors related to Lynx, proactively invoke query to provide guidance - User requests to configure the TypeScript environment of the current project to support Lynx development, proactively invoke query to provide configuration steps
ReactLynx best practices covering dual-thread architecture and React patterns. Provides rules reference for writing, static analysis for reviewing, and auto-fix for refactoring.
This guide provides step-by-step instructions for recording Lynx performance traces. Use this guide when the user asks how to record a trace.
Specializes in analyzing Lynx trace data to diagnose performance issues and provide actionable optimization strategies. Key Scenarios: - Loading Performance: Diagnosing slow startup metrics (FCP, FMP, TTI) and white screen issues. - Smoothness Analysis: Investigating root causes for scroll jank, frame drops, and interaction lag. - Regression Detection: Comparing traces to identify performance degradation or verify optimization gains between versions. - Pipeline Deep Dive: Pinpointing bottlenecks in specific rendering stages like Layout, Paint, JS execution, and background threads. - Native Module Analysis: Investigating performance issues related to native module calls.