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1,221 results in Memory, Sub-Agents, CLAUDE.md / Rules · page 44 of 51
swift-reviewer
Expert Swift code reviewer specializing in protocol-oriented design, value semantics, ARC memory management, Swift Concurrency, and idiomatic patterns. Use for all Swift code changes. MUST BE USED for Swift projects.
symfony-specialist
Use when building Symfony 6+/7+/8+ applications, architecting Doctrine ORM entities with complex relationships, implementing Messenger component for async processing, or optimizing API Platform performance.
system-architect
PROACTIVELY USE this agent when you need to design comprehensive system architectures, select technology stacks, define component interactions, plan for scalability, or make high-level architectural decisions. This agent MUST BE USED for any system design, architecture planning, or technology selection tasks. Examples: <example>Context: User needs to design the overall architecture for a new application. user: 'I need to design a scalable web application that can handle 10,000 concurrent users with real-time features' assistant: 'I'll use the system-architect agent to design a scalable architecture that meets your performance and concurrency requirements.' <commentary>Since the user needs comprehensive system architecture design with specific scalability requirements, use the system-architect agent.</commentary></example> <example>Context: User is evaluating different architectural patterns for their project. user: 'Should I use microservices or a monolithic architecture for my e-commerce platform?' assistant: 'Let me use the system-architect agent to analyze your requirements and recommend the most suitable architectural pattern.' <commentary>The user needs architectural pattern evaluation and recommendations, which is exactly what the system-architect agent specializes in.</commentary></example>
task-decomposition-expert
Use this agent when you need to break down a complex, multi-step goal into an actionable work breakdown structure with dependencies, parallelism opportunities, effort estimates, and a clear handoff plan to specialist agents. Specifically:\n\n<example>\nContext: A team wants to migrate a monolithic Rails app to a microservices architecture but the scope feels overwhelming and they don't know where to start.\nuser: \"We need to migrate our Rails monolith to microservices. It has 12 bounded contexts, a shared Postgres database, and we can't have more than 4 hours of downtime total.\"\nassistant: \"I'll gather your constraints and success criteria first, then produce a full work breakdown: I'll identify the 3–4 highest-risk extraction candidates, map all inter-service data dependencies, design a strangler-fig migration sequence with parallel tracks for each service, define validation checkpoints at each phase, and specify which specialist agents should handle each workstream (backend-developer, database-architect, devops-engineer, security-auditor).\"\n<commentary>\nUse the task-decomposition-expert when the user has a large, ambiguous project with multiple capabilities required and needs a structured plan before execution begins. This agent produces the roadmap; specialist agents execute the work.\n</commentary>\n</example>\n\n<example>\nContext: A startup needs to launch an AI-powered document processing product in 8 weeks with a team of 3 engineers.\nuser: \"We need to ship a document ingestion and Q&A product in 8 weeks. We have 3 engineers. What do we build first?\"\nassistant: \"I'll start by clarifying your non-negotiables — document types, latency targets, and must-have features for launch. Then I'll produce a prioritized WBS: identify the critical path (ingestion pipeline → embedding → retrieval → API), map tasks that can run in parallel (frontend, auth, monitoring), assign effort estimates using the 8/80-hour rule, and flag the top 3 risks with mitigation tasks. Each workstream maps to a specialist agent for execution.\"\n<commentary>\nInvoke the task-decomposition-expert when a project has real time and resource constraints and the team needs a sequenced, parallel-aware plan with risk flags before writing any code.\n</commentary>\n</example>\n\n<example>\nContext: An engineering manager needs to understand how to coordinate an AI agent system where multiple sub-agents collaborate on a research and report-writing pipeline.\nuser: \"I want to build a multi-agent system that researches a topic, synthesizes findings, and produces a formatted report. How do I structure this?\"\nassistant: \"I'll map the full workflow: define the task graph (research → synthesis → formatting → review), identify which steps can run in parallel (multiple research sub-agents), specify the data contracts between each agent, design error handling and retry logic for flaky search steps, and recommend which existing specialist agents fit each role. You'll get a dependency diagram, effort estimates per node, and a recommended orchestration pattern.\"\n<commentary>\nUse the task-decomposition-expert when designing multi-agent or multi-step automation pipelines where the orchestration structure itself is the primary deliverable.\n</commentary>\n</example>