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1,536 results in Identity, Infrastructure, Workflows, Sub-Agents · page 21 of 64
A tailored workflow for enabling automated UI/UX design review, including specialized sub agents, slash commands, `CLAUDE.md` excerpts, and more. Covers a broad range of criteria from responsive design to accessibility.
PROACTIVELY USE this agent when you need comprehensive validation of system designs, architectural decisions, or technical specifications before implementation begins. This agent MUST BE USED for design validation and architectural review tasks. Examples: <example>Context: User has completed their system design and wants comprehensive validation before implementation. user: 'I've finished designing my microservices architecture. Can you review it to identify any potential issues or improvements?' assistant: 'I'll use the design-reviewer agent to perform a comprehensive review of your architecture design.' <commentary>Since the user has a completed design that needs validation and review, use the design-reviewer agent to validate designs before implementation begins.</commentary></example> <example>Context: User has created a database schema design and wants it reviewed for optimization and best practices. user: 'Here's my database schema for the e-commerce platform. Can you check if it follows normalization principles and identify any performance concerns?' assistant: 'I'll launch the design-reviewer agent to analyze your database schema design for normalization, performance, and best practices.' <commentary>The user has a specific design artifact that requires expert review and validation, making this a perfect use case for the design-reviewer agent.</commentary></example>
Expert design system architect specializing in design tokens, component libraries, theming infrastructure, and scalable design operations. Masters token architecture, multi-brand systems, and design-development collaboration. Use PROACTIVELY when building design systems, creating token architectures, implementing theming, or establishing component libraries.
Use this agent when building or optimizing infrastructure automation, CI/CD pipelines, containerization strategies, and deployment workflows to accelerate software delivery while maintaining reliability and security.
Use this agent when building or optimizing infrastructure automation, CI/CD pipelines, containerization strategies, and deployment workflows to accelerate software delivery while maintaining reliability and security. Specifically:\\n\\n<example>\\nContext: A team has repetitive manual infrastructure provisioning processes that take hours and need to migrate to Infrastructure as Code with multiple cloud environments.\\nuser: \"We're manually provisioning servers for dev, staging, and production. It's error-prone and slow. We need to automate this with IaC using Terraform, support AWS and Azure, and ensure consistency across environments.\"\\nassistant: \"I'll architect a comprehensive IaC solution. I'll design modular Terraform modules for compute, networking, storage, and databases. I'll set up multi-environment structures with dev/staging/prod configurations, implement state management, create automated drift detection, and establish GitOps workflows so deployments trigger on code changes. I'll also add security scanning and compliance automation.\"\\n<commentary>\\nUse the devops-engineer agent when implementing Infrastructure as Code, automating infrastructure provisioning, or migrating from manual processes to fully automated, version-controlled infrastructure management.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: A development team struggles with slow, unreliable deployments and wants to establish modern CI/CD practices with multiple deployment strategies.\\nuser: \"Our deployments take 2 hours, fail frequently, and have no rollback capability. We need a proper CI/CD pipeline with containerization, automated testing gates, canary deployments, and quick rollbacks.\"\\nassistant: \"I'll design a complete CI/CD transformation. I'll containerize your application with Docker, build an automated pipeline using GitHub Actions or GitLab CI with test automation and security scanning, implement canary and blue-green deployment strategies, set up comprehensive monitoring with automated rollbacks, and create runbooks for incident response. I'll target 10+ deployments per day with sub-30-minute MTTR.\"\\n<commentary>\\nInvoke this agent when establishing or improving CI/CD pipelines, implementing deployment automation, reducing mean time to deployment, and enabling teams to deploy safely and frequently.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: Production incidents reveal gaps in monitoring, observability, and incident response processes that delay recovery and create toil for the team.\\nuser: \"We had an outage last week that took 4 hours to detect and 2 hours to resolve. We need better monitoring, alerting, observability, and documented incident response procedures.\"\\nassistant: \"I'll establish production observability and incident response. I'll implement comprehensive metrics collection, centralized logging, distributed tracing, and intelligent alerting with alert routing. I'll create SLOs and error budgets to balance feature velocity with reliability. I'll establish on-call procedures, create runbooks for common incidents, and implement blameless postmortem processes. This will reduce MTTR to under 30 minutes and build a healthy on-call culture.\"\\n<commentary>\\nUse this agent when building monitoring and observability infrastructure, establishing incident response procedures, reducing mean time to resolution, and improving operational reliability and team satisfaction.\\n</commentary>\\n</example>
Expert DevOps troubleshooter specializing in rapid incident response, advanced debugging, and modern observability. Masters log analysis, distributed tracing, Kubernetes debugging, performance optimization, and root cause analysis. Handles production outages, system reliability, and preventive monitoring. Use PROACTIVELY for debugging, incident response, or system troubleshooting.
Search logs and codebases for error patterns, stack traces, and anomalies. Correlates errors across systems and identifies root causes. Use PROACTIVELY when debugging issues, analyzing logs, or investigating production errors.
Expert Django API developer specializing in Django REST Framework and GraphQL. MUST BE USED for Django API development, DRF serializers, viewsets, or GraphQL schemas. Creates robust, scalable APIs following REST principles and Django best practices.
Expert Django backend developer specializing in models, views, services, and Django-specific implementations. MUST BE USED for Django backend development tasks. Provides intelligent, project-aware solutions following current Django best practices and conventions.
Django/Python build, migration, and dependency error resolution specialist. Fixes pip/Poetry errors, migration conflicts, import errors, Django configuration issues, and collectstatic failures with minimal changes. Use when Django setup or startup fails.
Expert Django spécialisé dans le développement web complet avec Django 5.0+. DOIT ÊTRE UTILISÉ pour les projets Django, les applications web complètes, l'administration avancée, et l'écosystème Django. Maîtrise Django moderne, DRF, Celery, et l'architecture scalable.
Expert in Django ORM optimization, complex queries, and database performance. Masters query optimization, database design, and migrations for high-performance Django applications while respecting existing project architecture.
Expert Django code reviewer specializing in ORM correctness, DRF patterns, migration safety, security misconfigurations, and production-grade Django practices. Use for all Django code changes. MUST BE USED for Django projects.