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概要と使いどころ
Extract and document someone's authentic writing voice from samples. Use when someone needs a "voice guide," wants to capture their writing DNA, or needs to train AI to write in their style. Also useful for ghostwriting, brand voice documentation, or onboarding writers.
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。
Audit your Obsidian vault in Claude Code — finds stale drafts, empty folders, duplicate filenames, and incomplete files. Saves a dated report.
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 an energy-optimized, time-blocked daily plan based on circadian rhythm research and GTD principles
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。
Content operations: editorial calendar, marketing, publishing, social media management.
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。
SEO analysis and optimization specialist. Use when conducting technical SEO audits, optimizing meta tags, analyzing Core Web Vitals, or improving search engine rankings. Focuses on actionable recommendations.
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。
Shell scripting best practices and patterns. Use when writing bash/zsh scripts, automating tasks, creating CLI tools, or debugging shell commands.
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。
Security architecture and implementation patterns. Use when designing security controls, implementing authentication/authorization, conducting threat modeling, or ensuring compliance with security frameworks.
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。
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
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。
Incorporate moeru-ai/AUV into native desktop app control through its CLI or connected MCP for observation, targeted input, reusable operations, and verification. Use for native app automation, repeated desktop workflows, or explicit AUV requests.
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。
Delegate complex, long-running tasks to Manus AI agent for autonomous execution. Use when user says 'use manus', 'delegate to manus', 'send to manus', 'have manus do', 'ask manus', 'check manus sessions', or when tasks require deep web research, market analysis, product comparisons, stock analysis, competitive research, document generation, data analysis, or multi-step workflows that benefit from autonomous agent execution with parallel processing.
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。
Execute autonomous multi-step research using Google Gemini Deep Research Agent. Use for: market analysis, competitive landscaping, literature reviews, technical research, due diligence. Takes 2-10 minutes but produces detailed, cited reports. Costs $2-5 per task.
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 code review specialist for quality, security, and maintainability. Use when reviewing code changes, ensuring high development standards, or conducting security audits. Provides actionable feedback organized by priority.
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。
Security auditing and vulnerability assessment specialist. Use when conducting security reviews, analyzing code for vulnerabilities, performing OWASP assessments, or creating security audit reports.
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。
This skill should be used when demonstrating skill structure and format. Provides example patterns for creating new 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。
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。
Enterprise-level Go architecture patterns including clean architecture, hexagonal architecture, DDD, and production-ready application structure.
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。
Remove AI-generated code slop from branches. Use after AI-assisted coding sessions to clean up defensive bloat, unnecessary comments, type casts, and style inconsistencies. Focuses on identifying and removing AI artifacts that degrade code quality.
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。
Cloud infrastructure design and deployment patterns for AWS, Azure, and GCP. Use when designing cloud architectures, implementing IaC with Terraform, optimizing costs, or setting up multi-region deployments.
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。
Machine learning development patterns, model training, evaluation, and deployment. Use when building ML pipelines, training models, feature engineering, model evaluation, or deploying ML systems to production.
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 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。
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。
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。
UUID generation skill - Universally Unique Identifiers v4 and v7 for entity IDs. For ng-events construction site progress tracking system.
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。