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概要と使いどころ
Comprehensive performance specialist covering analysis, optimization, load testing, and framework-specific performance. Use when identifying bottlenecks, optimizing code, conducting load tests, analyzing Core Web Vitals, fixing memory leaks, or improving application performance across all layers (application, database, frontend). Includes React-specific optimization patterns.
日本語の概要は準備中です。原文の説明を表示しています。
Identifies high-quality leads for your product or service by analyzing your business, searching for target companies, and providing actionable contact strategies. Perfect for sales, business development, and marketing professionals.
日本語の概要は準備中です。原文の説明を表示しています。
Comprehensive Go testing patterns including table-driven tests, mocking, integration testing, benchmarks, and test organization.
日本語の概要は準備中です。原文の説明を表示しています。
Developer Experience specialist for tooling, setup, and workflow optimization. Use when setting up projects, reducing friction, improving development workflows, or automating repetitive tasks. Focuses on making development joyful and productive.
日本語の概要は準備中です。原文の説明を表示しています。
Comprehensive documentation specialist covering API documentation, technical writing, design documentation, migration guides, and changelog generation. Use when creating OpenAPI/Swagger specs, generating SDKs, writing user guides, creating README files, documenting architecture, writing design specs, creating ADRs, writing migration guides, or generating changelogs from git commits. Handles versioning, examples, developer experience, and user-facing documentation.
日本語の概要は準備中です。原文の説明を表示しています。
Comprehensive debugging specialist for errors, test failures, log analysis, and system problems. Use when encountering issues, analyzing error logs, investigating system anomalies, debugging production issues, analyzing stack traces, or identifying root causes. Combines general debugging workflows with error pattern detection and log analysis.
日本語の概要は準備中です。原文の説明を表示しています。
Go performance optimization techniques including profiling with pprof, memory optimization, concurrency patterns, and escape analysis.
日本語の概要は準備中です。原文の説明を表示しています。
Git workflow and pull request specialist. Use when creating PRs, managing branches, establishing git conventions, or improving code review processes.
日本語の概要は準備中です。原文の説明を表示しています。
Next.js architecture specialist. Use when designing Next.js applications, migrating to App Router, implementing Server Components, or optimizing Next.js performance. Covers App Router, Server Components, and best practices.
日本語の概要は準備中です。原文の説明を表示しています。
Analyzes meeting transcripts and recordings to uncover behavioral patterns, communication insights, and actionable feedback. Identifies when you avoid conflict, use filler words, dominate conversations, or miss opportunities to listen. Perfect for professionals seeking to improve their communication and leadership skills.
日本語の概要は準備中です。原文の説明を表示しています。
SQL query optimization and database performance specialist. Use when optimizing slow queries, fixing N+1 problems, designing indexes, implementing caching, or improving database performance. Works with PostgreSQL, MySQL, and other databases.
日本語の概要は準備中です。原文の説明を表示しています。
Jira Cloud integration for issue management and search. This skill should be used when working with Jira tickets, searching issues with JQL, creating or updating issues, adding comments, or transitioning issue status. Covers REST API v3 and Jira Query Language.
日本語の概要は準備中です。原文の説明を表示しています。
Development standards for the Nathan n8n-Jira agent automation system. Covers n8n workflows, Python patterns, and project conventions.
日本語の概要は準備中です。原文の説明を表示しています。
Meta-cognitive reasoning specialist for evidence-based analysis, hypothesis testing, and cognitive failure prevention. Use when conducting reviews, making assessments, debugging complex issues, or any task requiring rigorous analytical reasoning. Prevents premature conclusions, assumption-based errors, and pattern matching without verification.
日本語の概要は準備中です。原文の説明を表示しています。
Model Context Protocol (MCP) integration specialist. Use when creating MCP server configurations, implementing MCP integrations, or optimizing MCP performance. Specializes in MCP server architecture and integration patterns.
日本語の概要は準備中です。原文の説明を表示しています。
Generate descriptive commit messages by analyzing git diffs. Use when the user asks for help writing commit messages or reviewing staged changes.
日本語の概要は準備中です。原文の説明を表示しています。
n8n workflow automation patterns and API integration. This skill should be used when creating n8n workflows, using webhooks, managing workflows via REST API, or integrating n8n with MCP servers. Covers workflow JSON structure, node patterns, and automation best practices.
日本語の概要は準備中です。原文の説明を表示しています。
Responsible AI development and ethical considerations. Use when evaluating AI bias, implementing fairness measures, conducting ethical assessments, or ensuring AI systems align with human values.
日本語の概要は準備中です。原文の説明を表示しています。
Claude Code hooks configuration specialist. Use when creating hooks for tool validation, logging, notifications, or custom automation in Claude Code.
日本語の概要は準備中です。原文の説明を表示しています。
Expert prompt optimization for LLMs and AI systems. Use when building AI features, improving agent performance, crafting system prompts, or optimizing LLM interactions. Masters prompt patterns and techniques.
日本語の概要は準備中です。原文の説明を表示しています。
Network architecture, troubleshooting, and infrastructure patterns. Use when designing network topologies, debugging connectivity issues, configuring load balancers, DNS, or implementing network security.
日本語の概要は準備中です。原文の説明を表示しています。
Context management specialist for multi-agent workflows and long-running tasks. Use when coordinating multiple agents, preserving context across sessions, or managing complex project state. Focuses on context compression and distribution.
日本語の概要は準備中です。原文の説明を表示しています。
CLI command development specialist. Use when creating commands, designing argument parsing, automating tasks, or implementing CLI best practices. Specializes in command design patterns and user experience.
日本語の概要は準備中です。原文の説明を表示しています。
Automatically find relevant context from knowledge graph and code relationships while coding. Detects when context would be helpful (new files, unfamiliar code, architectural decisions) and surfaces related entities, prior decisions, and code dependencies.
日本語の概要は準備中です。原文の説明を表示しています。