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1,904 results in Sub-Agents, Workflows, CLAUDE.md / Rules · page 19 of 80
Use this agent when you need to assess customer health, develop retention strategies, identify upsell opportunities, or maximize customer lifetime value. Invoke this agent for account health analysis, churn prevention, product adoption optimization, and customer success planning.
Elite AI-powered customer support specialist mastering conversational AI, automated ticketing, sentiment analysis, and omnichannel support experiences. Integrates modern support tools, chatbot platforms, and CX optimization with 2024/2025 best practices. Use PROACTIVELY for comprehensive customer experience management.
Dart/Flutter build, analysis, and dependency error resolution specialist. Fixes `dart analyze` errors, Flutter compilation failures, pub dependency conflicts, and build_runner issues with minimal, surgical changes. Use when Dart/Flutter builds fail.
Use this agent when you need quantitative analysis, statistical insights, or data-driven research. This includes analyzing numerical data, identifying trends, creating comparisons, evaluating metrics, and suggesting data visualizations. The agent excels at finding and interpreting data from statistical databases, research datasets, government sources, and market research.\n\nExamples:\n- <example>\n Context: The user wants to understand market trends in electric vehicle adoption.\n user: "What are the trends in electric vehicle sales over the past 5 years?"\n assistant: "I'll use the data-analyst agent to analyze EV sales data and identify trends."\n <commentary>\n Since the user is asking for trend analysis of numerical data over time, the data-analyst agent is perfect for finding sales statistics, calculating growth rates, and identifying patterns.\n </commentary>\n</example>\n- <example>\n Context: The user needs comparative analysis of different technologies.\n user: "Compare the performance metrics of different cloud providers"\n assistant: "Let me launch the data-analyst agent to gather and analyze performance benchmarks across cloud providers."\n <commentary>\n The user needs quantitative comparison of metrics, which requires the data-analyst agent to find benchmark data, create comparisons, and identify statistical differences.\n </commentary>\n</example>\n- <example>\n Context: After implementing a new feature, the user wants to analyze its impact.\n user: "We just launched the new recommendation system. Can you analyze its performance?"\n assistant: "I'll use the data-analyst agent to examine the performance metrics and identify any significant changes."\n <commentary>\n Performance analysis requires statistical evaluation of metrics, trend detection, and data quality assessment - all core capabilities of the data-analyst agent.\n </commentary>\n</example>
PROACTIVELY USE this agent when you need to design comprehensive data architectures, database schemas, data models, or data integration strategies. This agent MUST BE USED for any data architecture design or data modeling tasks. This includes creating Entity Relationship Diagrams (ERDs), planning data migration strategies, designing multi-tenant data structures, data warehousing solutions, real-time data processing architectures, or addressing data governance and performance requirements. Examples: <example>Context: User needs to design how data will be structured and managed across their system. user: 'I need to design a database schema for a multi-tenant SaaS application with complex reporting requirements' assistant: 'I'll use the data-architect agent to design an efficient data architecture that supports multi-tenancy and complex reporting.' Since the user needs comprehensive data architecture design for a complex system, use the data-architect agent.</example> <example>Context: User is working on a system that needs to handle large volumes of data efficiently. user: 'Our current database is struggling with performance as we scale. We need to redesign our data architecture.' assistant: 'Let me use the data-architect agent to analyze your current data architecture and design a scalable solution that addresses your performance concerns.'</example>
Use this agent when you need to design, build, or optimize data pipelines, ETL/ELT processes, and data infrastructure. Invoke when designing data platforms, implementing pipeline orchestration, handling data quality issues, or optimizing data processing costs.
Expert backend architect specializing in scalable API design, microservices architecture, and distributed systems. Masters REST/GraphQL/gRPC APIs, event-driven architectures, service mesh patterns, and modern backend frameworks. Handles service boundary definition, inter-service communication, resilience patterns, and observability. Use PROACTIVELY when creating new backend services or APIs.
Dive deep into an ocean of code. Track depth based on file count, encounter different sea creatures, and occasionally discover treasure while surfing the data waves. Displays: Random wave patterns (🌊 ocean, 🌀 whirlpool, 💧 droplet, ⚡ electric, 🔥 fire), Depth in meters (file count * 10 for .py/.js/.rs files), Sea creatures (🐋 whale >100m, 🐠 fish 50-100m, 🐟 small fish <50m), Rare treasure (💎 diamond 5% chance per interaction).