code-review-trigger
Natural language wrapper for code review - automatically triggers /code-review when users express intent to review code, check for bugs, or validate code quality
Discover lifestyle debugging skills, compare source repositories and read the instructions for each workflow.
Natural language wrapper for code review - automatically triggers /code-review when users express intent to review code, check for bugs, or validate code quality
Automatic session tracking and memory system for Claude Code. Activates when working in git repositories to track file changes, commits, and session context. Creates .cortex_log.md (session history), .cortex_st...
Structured multi-step reasoning for complex problems using MCP. Use this skill when facing architectural decisions, performance bottlenecks, complex debugging, system design challenges, or any problem requiring...
Comprehensive checklist and best practices for effective code reviews that catch bugs and improve code quality
Reviews test coverage and suggests missing test cases for error paths, edge cases, and business logic. Activates when users write tests or implement new features.
Systematic code review guidelines and checklist. Use this skill when reviewing code, conducting pull request reviews, or establishing code quality standards. Provides comprehensive review criteria covering func...
Interactive debugger for Deno/TypeScript applications using the V8 Inspector Protocol. This skill should be used when investigating issues in Deno applications, including memory leaks, performance bottlenecks,...
Reviews SQL queries and DataFrame operations for optimization opportunities including predicate pushdown, partition pruning, column projection, and join ordering. Activates when users write DataFusion queries o...
Detects performance anti-patterns like N+1 queries, nested loops, large file operations, and inefficient algorithms. Suggests fast fixes before issues reach production.
Provides guidance on reducing Lambda cold start times through binary optimization, lazy initialization, and deployment strategies. Activates when users discuss cold starts or deployment configuration.
Implement logging, metrics, tracing, and alerting for production applications. Covers structured logging (Pino, Winston), metrics (Prometheus, DataDog, CloudWatch), distributed tracing (OpenTelemetry), and aler...
Web performance testing via Playwright MCP - Core Web Vitals, Lighthouse
Comprehensive test architecture, coverage strategy, and test design beyond API testing. Covers test pyramid design, frontend/component testing (React Testing Library, Vue Test Utils), E2E testing (Playwright, C...
OpenAI Codex CLIを使用したコードレビュー、分析、コードベースへの質問を実行する。使用場面: (1) コードレビュー依頼時、(2) コードベース全体の分析、(3) 実装に関する質問、(4) バグの調査、(5) リファクタリング提案、(6...
Evaluate Claude Code skills against best practices for size, structure, examples, and prompt engineering. Use when reviewing skills for deployment, optimization, or standards compliance.
Query codebases semantically using LLMs. Use when asking questions about libraries, frameworks, or source code — searches actual source, not outdated docs.
CLI tools for Svelte 5 documentation lookup and code analysis. MUST be used whenever creating or editing any Svelte component (.svelte) or Svelte module (.svelte.ts/.svelte.js). If possible, this skill should b...
Agent Lens: Real-time observability dashboard for multi-agent Claude Code sessions. Visualize agent interactions, tool usage, and session flows through a modern dual-pane interface. Track parent-child event re...
Show the archive time span for a URL from the Wayback Machine. Use when the user wants to see both the oldest and newest captures, the archive range, or how long a URL has been archived.
Audits feature completeness by scanning codebases and comparing against PRD requirements. Identifies gaps between backend implementation and user-facing accessibility. Generates remediation tasks and integrates...
Extended investigation for technology evaluation, competitive analysis, architectural exploration, and best practices research. Unlike spike (time-boxed hours), deep-research supports multi-day comprehensive in...
Analyzes completed agent sessions to identify what went well, what went wrong, and patterns to improve. Reads from .claude/ folder (session logs, progress.md, git history) and produces actionable insights. Use...
Time-boxed technical investigation with structured output. Use for feasibility studies, architecture exploration, integration assessment, performance analysis, or risk evaluation. Creates spike tasks in ohno, e...
Performance analysis, optimization techniques, and performance testing for web applications. Covers profiling, bottleneck identification, frontend optimization (bundle size, rendering, Core Web Vitals), backend...
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.