detecting-anomalies
Detect anomalies in metrics and time-series data using OPAL statistical methods. Use when you need to identify unusual patterns, spikes, drops, or outliers in observability data. Covers statistical outlier dete...
发现 lifestyle debugging 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。
Detect anomalies in metrics and time-series data using OPAL statistical methods. Use when you need to identify unusual patterns, spikes, drops, or outliers in observability data. Covers statistical outlier dete...
Monitor application performance using the RED methodology (Rate, Errors, Duration) with Observe. Use when analyzing service health, investigating errors, tracking latency, or building APM dashboards. Covers whe...
Aggregate pre-computed metrics (gauge, counter, delta types) using OPAL. Use when analyzing request counts, error rates, resource utilization, or any numeric metrics over time. Covers align + m() + aggregate pa...
Analyze event datasets (logs) and intervals over time using OPAL timechart. Use when you need to visualize trends, track metrics over time, or create time-series charts. Covers timechart for temporal binning, b...
Generate comprehensive project structure documentation with intelligent tree representation, meaningful comments, and utility dependency analysis. Use when user asks to document project structure or create arch...
Detect N+1 query patterns in the codebase. Finds loops that contain database or API calls that should be batched. Works across all languages. Use when user asks to find performance issues or N+1 patterns.
Autonomously explore unfamiliar codebases using Miller's code intelligence. Use semantic search, symbol navigation, and call path tracing to understand architecture without reading entire files. Activates when...
Detect empty catch blocks and exception swallowing anti-patterns. Finds catch blocks that silently ignore errors without logging or rethrowing. Works across all languages. Use when user asks about error handlin...
Reviews code for architecture, performance, API design, and maintainability. AUTOMATICALLY INVOKE when user mentions "review", "PR", "pull request", "code review", "backend review", or "analyze code". Verifies...
Reviews React/TypeScript UX code for accessibility, performance, component design, and user experience. Specializes in React, TypeScript, Material-UI, and frontend architecture. Verifies against latest React.de...
A simple test skill that analyzes code files and provides a summary report. Use when asked to analyze code structure, count files, or provide project statistics. Demonstrates Claude Code skill functionality.
Expert knowledge for modern browser technologies including HTML5, CSS (Grid, Flexbox, Container Queries, Scroll-Driven Animations, Anchor Positioning), Progressive Web Apps (PWA, Service Workers, Web Push, File...
Expert UX evaluator for command-line interfaces, CLIs, terminal tools, shell scripts, and developer APIs. Use proactively when reviewing CLIs, testing command usability, evaluating error messages, assessing dev...
CLI power tools for AI-assisted development. Use when (1) needing recommendations for CLI tools to install, (2) processing JSON/YAML data with jq/yq, (3) searching code with ripgrep or ast-grep, (4) documenting...
Coordinate multiple agents for software development across any language. Use for parallel execution of independent tasks, sequential chains with dependencies, swarm analysis from multiple perspectives, or itera...
프론트엔드 프로젝트 구조를 분석하고 정리하여 AI 에이전트가 활용할 수 있는 컨텍스트 문서를 생성하는 스킬. "프로젝트 구조 잡아줘", "폴더 구조 정리해줘", "아키텍처 문서화해줘", "프로젝트 초기 설정해줘" 등의 요청에...
Comprehensive Zig 0.15.2 development expert. Use when writing Zig code, debugging memory issues, designing build systems, implementing comptime metaprogramming, handling errors, or cross-compiling. Automaticall...
Systematic approach to debugging software issues
Claude Code context window optimization strategies, JIT retrieval, progressive loading, memory file patterns, and cleanup practices. Use when optimizing context usage, managing large projects, or implementing e...
Automated code review with SOLID principles, code smells, and language-specific best practices.
Guide Alfred to provide non-intrusive proactive suggestions based on risk detection, optimization patterns, and learning opportunities
Advanced debugging with stack trace analysis, error pattern detection, and fix suggestions. Use when delivering quick diagnostic support for everyday issues.
Performance optimization with profiling, bottleneck detection, and tuning strategies.
Managing Claude Code Session Memory & Context. Understand session context limits, use just-in-time retrieval, cache insights, manage memory files. Use when optimizing context usage, handling large projects, or...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。