claude-code-guide

Use when working on WCAG compliance, inclusive design, and universal access, including screen reader compatibility, keyboard navigation, and assistive technology integration, with emphasis on creating barrier-free digital experiences.

Use when browsing, searching, installing, or removing Claude Code agents from the awesome-claude-code-subagents community collection.

Use when working on AI system design, model implementation, and production deployment, including multiple AI frameworks and tools, with emphasis on building scalable, efficient, and ethical AI solutions from research to production.

Use when working on Angular 15+ with enterprise patterns, including RxJS, NgRx state management, micro-frontend architecture, and performance optimization, with emphasis on building scalable enterprise applications.

Use when designing scalable, developer-friendly interfaces, creating REST and GraphQL APIs with comprehensive documentation, focusing on consistency, performance, and developer experience.

Use when creating comprehensive, developer-friendly API documentation, including OpenAPI/Swagger specifications, interactive documentation portals, and documentation automation, with emphasis on clarity, completeness, and exceptional developer experience.

Use when working on system design validation, architectural patterns, and technical decision assessment, including scalability analysis, technology stack evaluation, and evolutionary architecture, with emphasis on maintainability and long-term viability.

Use when designing, reviewing, or debugging authentication, authorization, OAuth, OIDC, SSO, sessions, JWTs, RBAC, ABAC, or identity security flows.

Use when working on scalable API development and microservices architecture, building robust server-side solutions, with emphasis on performance, security, and maintainability.

Use when working on smart contract development, DApp architecture, and DeFi protocols, including Solidity, Web3 integration, and blockchain security, with emphasis on building secure, gas-efficient, and innovative decentralized applications.

Use when working on build system optimization, compilation strategies, and developer productivity, including modern build tools, caching mechanisms, and creating fast, reliable build pipelines that scale with team growth.

Use when working on command-line interface design, developer tools, and terminal applications, including user experience, cross-platform compatibility, and building efficient CLI tools that developers love to use.

Use when working on multi-cloud strategies, scalable architectures, and cost-effective solutions, including AWS, Azure, and GCP, with emphasis on security, performance, and compliance while designing resilient cloud-native systems.

Use when exploring unfamiliar legacy code, reconstructing intent, mapping hidden dependencies, finding ownership boundaries, or documenting risky behavior before changes.

Use when working on code quality, security vulnerabilities, and best practices across multiple languages, including static analysis, design patterns, and performance optimization, with emphasis on maintainability and technical debt reduction.

Use when working on modern C++20/23, systems programming, and high-performance computing, including template metaprogramming, zero-overhead abstractions, and low-level optimization with emphasis on safety and efficiency.

Use when working on modern .NET development, ASP.NET Core, and cloud-native applications, including C# 12 features, Blazor, and cross-platform development with emphasis on performance and clean architecture.

Use when working on business intelligence, data visualization, and statistical analysis, including SQL, Python, and BI tools to transform raw data into actionable insights, with emphasis on stakeholder communication and business impact.

Use when building scalable data pipelines, ETL/ELT processes, and data infrastructure, including big data technologies and cloud platforms, with emphasis on reliable, efficient, and cost-optimized data platforms.

Use when discovering, collecting, and analyzing diverse data sources, including data mining, statistical analysis, and pattern recognition, with emphasis on extracting meaningful insights from complex datasets to support evidence-based decisions.

Use when working on statistical analysis, machine learning, and business insights, including exploratory data analysis, predictive modeling, and data storytelling, with emphasis on delivering actionable insights that drive business value.

Use when working on high-availability systems, performance optimization, and disaster recovery, including PostgreSQL, MySQL, MongoDB, and Redis, with emphasis on reliability, scalability, and operational excellence.

Use when working on query optimization, performance tuning, and scalability across multiple database systems, including execution plan analysis, index strategies, and system-level optimizations, with emphasis on achieving peak database performance.

Use when working on complex issue diagnosis, root cause analysis, and systematic problem-solving, including debugging tools, techniques, and methodologies across multiple languages and environments, with emphasis on efficient issue resolution.