Skill: alirezarezvani/agent-designer (version 2.1.1)

--- name: "agent-designer" description: "Agent Designer - Multi-Agent System Architecture" --- # Agent Designer - Multi-Agent System Architecture **Tier:** POWERFUL **Category:** Engineering **Tags:** AI agents, architecture, system design, orchestration, multi-agent systems ## Overview Agent Designer is a comprehensive toolkit for designing, architecting, and evaluating multi-agent systems. It provides structured approaches to agent architecture patterns, tool design principles, communication strategies, and performance evaluation frameworks for building robust, scalable AI agent systems. ## Core Capabilities ### 1. Agent Architecture Patterns #### Single Agent Pattern - **Use Case:** Simple, focused tasks with clear boundaries - **Pros:** Minimal complexity, easy debugging, predictable behavior - **Cons:** Limited scalability, single point of failure - **Implementation:** Direct user-agent interaction with comprehensive tool access #### Supervisor Pattern - **Use Case:** Hierarchical task decomposition with centralized control - **Architecture:** One supervisor agent coordinating multiple specialist agents - **Pros:** Clear command structure, centralized decision making - **Cons:** Supervisor bottleneck, complex coordination logic - **Implementation:** Supervisor receives tasks, delegates to specialists, aggregates results #### Swarm Pattern - **Use Case:** Distributed problem solving with peer-to-peer collaboration - **Architecture:** Multiple autonomous agents with shared objectives - **Pros:** High parallelism, fault tolerance, emergent intelligence - **Cons:** Complex coordination, potential conflicts, harder to predict - **Implementation:** Agent discovery, consensus mechanisms, distributed task allocation #### Hierarchical Pattern - **Use Case:** Complex systems with multiple organizational layers - **Architecture:** Tree structure with managers and workers at different levels - **Pros:** Natural organizational mapping, clear responsibilities - **Cons:** Communication overhead, potential bottlenecks at each level - **Implementation:** Multi-level delegation with feedback loops #### Pipeline Pattern - **Use Case:** Sequential processing with specialized stages - **Architecture:** Agents arranged in processing pipeline - **Pros:** Clear data flow, specialized optimization per stage - **Cons:** Sequential bottlenecks, rigid processing order - **Implementation:** Message queues between stages, state handoffs ### 2. Agent Role Definition #### Role Specification Framework - **Identity:** Name, purpose statement, core competencies - **Responsibilities:** Primary tasks, decision boundaries, success criteria - **Capabilities:** Required tools, knowledge domains, processing limits - **Interfaces:** Input/output formats, communication protocols - **Constraints:** Security boundaries, resource limits, operational guidelines #### Common Agent Archetypes **Coordinator Agent** - Orchestrates multi-agent workflows - Makes high-level decisions and resource allocation - Monitors system health and performance - Handles escalations and conflict resolution **Specialist Agent** - Deep expertise in specific domain (code, data, research) - Optimized tools and knowledge for specialized tasks - High-quality output within narrow scope - Clear handoff protocols for out-of-scope requests **Interface Agent** - Handles external interactions (users, APIs, systems) - Protocol translation and format conversion - Authentication and authorization management - User experience optimization **Monitor Agent** - System health monitoring and alerting - Performance metrics collection and analysis - Anomaly detection and reporting - Compliance and audit trail maintenance ### 3. Tool Design Principles #### Schema Design - **Input Validation:** Strong typing, required vs optional parameters - **Output Consistency:** Standardized response formats, error handling - **Documentation:** Clear descriptions, usage examples, edge cases - **Versioning:** Backward compatibility, migration paths #### Error Handling Patterns - **Graceful Degradation:** Partial functionality when dependencies fail - **Retry Logic:** Exponential backoff, circuit breakers, max attempts - **Error Propagation:** Structured error responses, error classification - **Recovery Strategies:** Fallback methods, alternative approaches #### Idempotency Requirements - **Safe Operations:** Read operations with no side effects - **Idempotent Writes:** Same operation can be safely repeated - **State Management:** Version tracking, conflict resolution - **Atomicity:** All-or-nothing operation completion ### 4. Communication Patterns #### Message Passing - **Asynchronous Messaging:** Decoupled agents, message queues - **Message Format:** Structured payloads with metadata - **Delivery Guarantees:** At-least-once, exactly-once semantics - **Routing:** Direct messaging, publish-subscribe, broadcast #### Shared State - **State Stores:** Centralized data repositories - **Consistency Models:** Strong, eventual, weak consistency - **Access Patterns:** Read-heavy, write-heavy, mixed workloads - **Conflict Resolution:** Last-writer-wins, merge strategies #### Event-Driven Architecture - **Event Sourcing:** Immutable event logs, state reconstruction - **Event Types:** Domain events, system events, integration events - **Event Processing:** Real-time, batch, stream processing - **Event Schema:** Versioned event formats, backward compatibility ### 5. Guardrails and Safety #### Input Validation - **Schema Enforcement:** Required fields, type checking, format validation - **Content Filtering:** Harmful content detection, PII scrubbing - **Rate Limiting:** Request throttling, resource quotas - **Authentication:** Identity verification, authorization checks #### Output Filtering - **Content Moderation:** Harmful content removal, quality checks - **Consistency Validation:** Logic checks, constraint verification - **Formatting:** Standardized output formats, clean presentation - **Audit Logging:** Decision trails, compliance records #### Human-in-the-Loop - **Approval Workflows:** Critical decision checkpoints - **Escalation Triggers:** Confidence thresholds, risk assessment - **Override Mechanisms:** Human judgment precedence - **Feedback Loops:** Human corrections improve system behavior ### 6. Evaluation Frameworks #### Task Completion Metrics - **Success Rate:** Percentage of tasks completed successfully - **Partial Completion:** Progress measurement for complex tasks - **Task Classification:** Success criteria by task type - **Failure Analysis:** Root cause identification and categorization #### Quality Assessment - **Output Quality:** Accuracy, relevance, completeness measures - **Consistency:** Response variability across similar inputs - **Coherence:** Logical flow and internal consistency - **User Satisfaction:** Feedback scores, usage patterns #### Cost Analysis - **Token Usage:** Input/output token consumption per task - **API Costs:** External service usage and charges - **Compute Resources:** CPU, memory, storage utilization - **Time-to-Value:** Cost per successful task completion #### Latency Distribution - **Response Time:** End-to-end task completion time - **Processing Stages:** Bottleneck identification per stage - **Queue Times:** Wait times in processing pipelines - **Resource Contention:** Impact of concurrent operations ### 7. Orchestration Strategies #### Centralized Orchestration - **Workflow Engine:** Central coordinator manages all agents - **State Management:** Centralized workflow state tracking - **Decision Logic:** Complex routing and branching rules - **Monitoring:** Comprehensive visibility into all operations #### Decentralized Orchestration - **Peer-to-Peer:** Agents coordinate directly with each other - **Service Discovery:** Dynamic agent registration and lookup - **Consensus Protocols:** Distributed decision making - **Fault Tolerance:** No single point of failure #### Hybrid Approaches - **Domain Boundaries:** Centralized within domains, federated across - **Hierarchical Coordination:** Multiple orchestration levels - **Context-Dependent:** Strategy selection based on task type - **Load Balancing:** Distribute coordination responsibility ### 8. Memory Patterns #### Short-Term Memory - **Context Windows:** Working memory for current tasks - **Session State:** Temporary data for ongoing interactions - **Cache Management:** Performance optimization strategies - **Memory Pressure:** Handling capacity constraints #### Long-Term Memory - **Persistent Storage:** Durable data across sessions - **Knowledge Base:** Accumulated domain knowledge - **Experience Replay:** Learning from past interactions - **Memory Consolidation:** Transferring from short to long-term #### Shared Memory - **Collaborative Knowledge:** Shared learning across agents - **Synchronization:** Consistency maintenance strategies - **Access Control:** Permission-based memory access - **Memory Partitioning:** Isolation between agent groups ### 9. Scaling Considerations #### Horizontal Scaling - **Agent Replication:** Multiple instances of same agent type - **Load Distribution:** Request routing across agent instances - **Resource Pooling:** Shared compute and storage resources - **Geographic Distribution:** Multi-region deployments #### Vertical Scaling - **Capability Enhancement:** More powerful individual agents - **Tool Expansion:** Broader tool access per agent - **Context Expansion:** Larger working memory capacity - **Processing Power:** Higher throughput per agent #### Performance Optimization - **Caching Strategies:** Response caching, tool result caching - **Parallel Processing:** Concurrent task execution - **Resource Optimization:** Efficient resource utilization - **Bottleneck Elimination:** Systematic performance tuning ### 10. Failure Handling #### Retry Mechanisms - **Exponential Backoff:** Increasing delays between retries - **Jitter:** Random delay variation to prevent thundering herd - **Maximum Attempts:** Bounded retry behavior - **Retry Conditions:** Transient vs permanent failure classification #### Fallback Strategies - **Graceful Degradation:** Reduced functionality when systems fail - **Alternative Approaches:** Different methods for same goals - **Default Responses:** Safe fallback behaviors - **User Communication:** Clear failure messaging #### Circuit Breakers - **Failure Detection:** Monitoring failure rates and response times - **State Management:** Open, closed, half-open circuit states - **Recovery Testing:** Gradual return to normal operation - **Cascading Failure Prevention:** Protecting upstream systems ## Implementation Guidelines ### Architecture Decision Process 1. **Requirements Analysis:** Understand system goals, constraints, scale 2. **Pattern Selection:** Choose appropriate architecture pattern 3. **Agent Design:** Define roles, responsibilities, interfaces 4. **Tool Architecture:** Design tool schemas and error handling 5. **Communication Design:** Select message patterns and protocols 6. **Safety Implementation:** Build guardrails and validation 7. **Evaluation Planning:** Define success metrics and monitoring 8. **Deployment Strategy:** Plan scaling and failure handling ### Quality Assurance - **Testing Strategy:** Unit, integration, and system testing approaches - **Monitoring:** Real-time system health and performance tracking - **Documentation:** Architecture documentation and runbooks - **Security Review:** Threat modeling and security assessments ### Continuous Improvement - **Performance Monitoring:** Ongoing system performance analysis - **User Feedback:** Incorporating user experience improvements - **A/B Testing:** Controlled experiments for system improvements - **Knowledge Base Updates:** Continuous learning and adaptation This skill provides the foundation for designing robust, scalable multi-agent systems that can handle complex tasks while maintaining safety, reliability, and performance at scale.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (HIGH)