performance-engineer
Performance optimization specialist for improving application speed and efficiency. Use when investigating performance issues or optimizing code.
Discover research debugging skills, compare source repositories and read the instructions for each workflow.
Performance optimization specialist for improving application speed and efficiency. Use when investigating performance issues or optimizing code.
Datadog CLI for debugging and triaging. Use this skill when you need to: search Datadog logs, query metrics, tail logs in real-time, trace distributed requests, investigate errors, compare time periods, find lo...
Analyzes and optimizes SQL/NoSQL queries for performance. Use when reviewing query performance, optimizing slow queries, analyzing EXPLAIN output, suggesting indexes, identifying N+1 problems, recommending quer...
Comprehensive ESLint agent for JavaScript/TypeScript code quality. Use when setting up ESLint, configuring linting rules, analyzing code for issues, fixing violations, or integrating ESLint into development wor...
Comprehensive PostgreSQL configuration and usage analysis for Rails applications. Use when Claude Code needs to analyze a Rails codebase for database performance issues, optimization opportunities, or best prac...
Code review agent based on Sandi Metz's object-oriented design principles from "Practical Object-Oriented Design in Ruby" and "99 Bottles of OOP". Use when users request code reviews, ask about OO design princi...
Ruby static code analyzer and formatter for enforcing style guidelines, detecting bugs, and improving code quality. Supports Rails, RSpec, and Performance extensions with safe autocorrection capabilities.
Comprehensive test coverage analysis and improvement for Ruby and Rails applications using SimpleCov and SimpleCov Console formatter. Automatically runs coverage reports, identifies gaps, suggests tests, and en...
Integrate RubyCritic to analyze Ruby code quality and maintain high standards throughout development. Use when working on Ruby projects to check code smells, complexity, and duplication. Triggers include creati...
Elite code review agent for comprehensive analysis of code quality, security, performance, and architecture. Use when reviewing PRs, analyzing code changes, checking for bugs, security vulnerabilities, or perfo...
Review Dart FFI code for security issues in cryptographic contexts. Use when reviewing code changes, checking for memory leaks, verifying secure memory handling, or auditing cryptographic code.
Preview and screenshot local dev servers URLs. Use when asked to view UI components, take screenshots of or inspect the web/server apps.
Query Logfire logs via the Logfire query API using read tokens and JSONL output. Use when you need to fetch or filter Logfire records, build log queries, or provide agent-ready log retrieval from this repo. Tri...
Framework for retrospectives at any time scale (daily, weekly, monthly, quarterly, yearly). Trigger with "daily retro", "weekly retro", "monthly retro", "[month] retro" (e.g., "december retro", "january retro")...
Investigate and fix bugs systematically. Use when debugging issues or tracing errors.
Performance - Core Web Vitals, bundle size. Use when optimizing speed.
Performance - Core Web Vitals, bundle size. Use when optimizing speed.
使用 MemProcFS 辅助进行内存分析和取证。当需要分析内存转储、调查系统活动或执行取证检查时使用。
Assists with memory analysis and forensics using MemProcFS. Use when analyzing memory dumps, investigating system activity, or performing forensic examinations.
Production-grade skill for C++ debugging. Covers GDB, LLDB, sanitizers, memory debugging, crash analysis, and systematic bug investigation techniques.
Angular performance optimization, change detection strategies, and bundle optimization
Plot timestamped logs as graphs. Use when user wants to visualize log data, plot numeric values over time, count events, track time deltas between events, compare multiple log files, or get statistics from logs...
Go performance optimization - profiling, benchmarks, memory management
Auto-generate renderers, calculate statistics, and create data-driven visualizations. Use for class breaks, unique values, heatmaps, dot density, relationship maps, and getting histogram/summary statistics.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.