xbim08

by Ashwin Bhat

Claude Agent SDK Development Plugin

by Michael Galpert

Use this agent when implementing AI/ML features, integrating language models, building recommendation systems, or adding intelligent automation to applications. This agent specializes in practical AI implementation for rapid deployment. Examples:\n\n<example>\nContext: Adding AI features to an app\nuser: "We need AI-powered content recommendations"\nassistant: "I'll implement a smart recommendation engine. Let me use the ai-engineer agent to build an ML pipeline that learns from user behavior."\n<commentary>\nRecommendation systems require careful ML implementation and continuous learning capabilities.\n</commentary>\n</example>\n\n<example>\nContext: Integrating language models\nuser: "Add an AI chatbot to help users navigate our app"\nassistant: "I'll integrate a conversational AI assistant. Let me use the ai-engineer agent to implement proper prompt engineering and response handling."\n<commentary>\nLLM integration requires expertise in prompt design, token management, and response streaming.\n</commentary>\n</example>\n\n<example>\nContext: Implementing computer vision features\nuser: "Users should be able to search products by taking a photo"\nassistant: "I'll implement visual search using computer vision. Let me use the ai-engineer agent to integrate image recognition and similarity matching."\n<commentary>\nComputer vision features require efficient processing and accurate model selection.\n</commentary>\n</example>

by Alysson Franklin

Use this agent when you need to implement AI ethics frameworks, governance policies, and responsible AI practices for B2B applications. This agent specializes in AI bias detection, ethical AI development, algorithmic transparency, and AI governance frameworks that meet enterprise trust and compliance requirements. Examples:

by Michael Galpert

Use this agent when analyzing metrics, generating insights from data, creating performance reports, or making data-driven recommendations. This agent excels at transforming raw analytics into actionable intelligence that drives studio growth and optimization. Examples:\n\n<example>\nContext: Monthly performance review needed

by Anand Tyagi

Generate comprehensive analysis and documentation of entire codebase

by jerseycheese

Fetches GitHub issue details to create comprehensive implementation specifications, analyzing requirements and planning structured approach with clear implementation steps.

by normalnormie

Use this agent when you need to create or convert prompts using the SYMBO (symbolic) notation system. This agent MUST be activated whenever generating SYMBO prompts or converting existing prompts to symbolic format. Examples: <example>Context: User wants to create a symbolic prompt for a task management system. user: 'Create a SYMBO prompt for a project task tracker with memory and learning capabilities' assistant: 'I'll use the angelos-symbo agent to create this symbolic prompt following SYMBO notation rules' <commentary>The user is requesting a SYMBO prompt, so the angelos-symbo agent must be used to ensure proper symbolic notation and rule compliance.</commentary></example> <example>Context: User has a natural language prompt they want converted to SYMBO format. user: 'Convert this prompt to SYMBO notation: You are an AI that helps with code reviews by analyzing code quality, suggesting improvements, and tracking common issues across projects' assistant: 'I need to convert this to SYMBO notation using the angelos-symbo agent' <commentary>Since this involves SYMBO prompt generation/conversion, the angelos-symbo agent must be activated.</commentary></example>

by Alysson Franklin

Use this agent when you need to design and implement internal API architecture, developer experience, and API infrastructure for B2B applications. This agent specializes in REST API design, GraphQL implementation, API documentation, SDK development, and developer portal creation. Handles API performance optimization, versioning strategies, and internal service communication. Examples:

by Michael Galpert

Use this agent for comprehensive API testing including performance testing, load testing, and contract testing. This agent specializes in ensuring APIs are robust, performant, and meet specifications before deployment. Examples:\n\n<example>\nContext: Testing API performance under load

by Michael Galpert

Use this agent when preparing app store listings, researching keywords, optimizing app metadata, improving conversion rates, or analyzing app store performance. This agent specializes in maximizing organic app store visibility and downloads. Examples:\n\n<example>\nContext: Preparing for app launch

by Anand Tyagi

Perform security audit on codebase

by Alysson Franklin

PROACTIVELY use this agent when approaching B2B launch milestones, enterprise release deadlines, or B2B go-to-market activities. This agent specializes in coordinating business launches, managing enterprise release processes, and executing B2B go-to-market strategies within the 6-day development cycle. Should be triggered automatically when enterprise release dates are set, B2B launch plans are needed, or business market positioning is discussed. Examples:

by Michael Galpert

Use this agent when designing APIs, building server-side logic, implementing databases, or architecting scalable backend systems. This agent specializes in creating robust, secure, and performant backend services. Examples:\n\n<example>\nContext: Designing a new API\nuser: "We need an API for our social sharing feature"\nassistant: "I'll design a RESTful API with proper authentication and rate limiting. Let me use the backend-architect agent to create a scalable backend architecture."\n<commentary>\nAPI design requires careful consideration of security, scalability, and maintainability.\n</commentary>\n</example>\n\n<example>\nContext: Database design and optimization\nuser: "Our queries are getting slow as we scale"\nassistant: "Database performance is critical at scale. I'll use the backend-architect agent to optimize queries and implement proper indexing strategies."\n<commentary>\nDatabase optimization requires deep understanding of query patterns and indexing strategies.\n</commentary>\n</example>\n\n<example>\nContext: Implementing authentication system\nuser: "Add OAuth2 login with Google and GitHub"\nassistant: "I'll implement secure OAuth2 authentication. Let me use the backend-architect agent to ensure proper token handling and security measures."\n<commentary>\nAuthentication systems require careful security considerations and proper implementation.\n</commentary>\n</example>

by Michael Galpert

Use this agent when establishing brand guidelines, ensuring visual consistency, managing brand assets, or evolving brand identity. This agent specializes in creating and maintaining cohesive brand experiences across all touchpoints while enabling rapid development. Examples:\n\n<example>\nContext: Creating brand guidelines for a new app

by Anonymous

Systematically debug issues with step-by-step troubleshooting approaches.

by danielscholl

Streamlines bug fixing by creating a GitHub issue first, then a feature branch for implementing and thoroughly testing the solution before merging.

by Beau Lewis

Universal quality control orchestrator and final authority for any software development project. Dynamically discovers and coordinates with available sub-agents, performs comprehensive multi-dimensional quality assessment, security validation, and deployment readiness verification. Adapts to any project type, programming language, or development framework while maintaining enterprise-grade quality standards. Examples: <example>Context: Code changes ready for review across any project. user: 'Please review this code before commit' assistant: 'I'll use the 1-ceo-quality-control-agent to orchestrate comprehensive quality validation, discover available specialists, and perform final security scanning before approval.' <commentary>Universal quality control requires comprehensive validation across all dimensions regardless of project type.</commentary></example> <example>Context: Multi-agent work completion needing validation. user: 'Several agents completed their tasks, need quality review' assistant: 'Let me engage the 1-ceo-quality-control-agent to coordinate comprehensive validation across all completed work and ensure quality standards.' <commentary>Multi-agent coordination and quality validation applies to any development project.</commentary></example>

by Joe Heitzeberg

Changelog Generator subagent

by Anand Tyagi

This command provides the context necessary for Claude Code to create the Desktop Extension or .dxt file of an MCP.

by abhishek shah

Use this agent when you need to design scalable architecture and folder structures for new features or projects. Examples include: when starting a new feature module, refactoring existing code organization, planning microservice boundaries, designing component hierarchies, or establishing project structure conventions. For example: user: 'I need to add a user authentication system to my app' -> assistant: 'I'll use the code-architect agent to design the architecture and folder structure for your authentication system' -> <uses agent>. Another example: user: 'How should I organize my e-commerce product catalog feature?' -> assistant: 'Let me use the code-architect agent to design a scalable structure for your product catalog' -> <uses agent>.

by Anand Tyagi

Perform a comprehensive code review of recent changes

by Anonymous

Get comprehensive code reviews with suggestions for improvements, best practices, and potential issues.

by Anand Tyagi

Expert code review specialist. Proactively reviews code for quality, security, and maintainability. Use immediately after writing or modifying code.

by Anand Tyagi

Use this agent when you need to analyze a service or codebase component and create comprehensive documentation in CLAUDE.md files. This agent should be invoked after implementing new services, major refactoring, or when documentation needs updating to reflect the current codebase structure. Examples: <example>Context: The user has just implemented a new authentication service and wants to document it properly. user: 'I just finished implementing the auth service, can you document how it works?' assistant: 'I'll use the codebase-documenter agent to analyze the authentication service and create detailed documentation in CLAUDE.md' <commentary>Since the user has completed a service implementation and needs documentation, use the Task tool to launch the codebase-documenter agent to create comprehensive CLAUDE.md documentation.</commentary></example> <example>Context: The user wants to ensure a newly added API module is properly documented for the team. user: 'We need documentation for the new payment processing API I just added' assistant: 'Let me use the codebase-documenter agent to analyze the payment processing API and create proper documentation' <commentary>The user needs documentation for a new API module, so use the codebase-documenter agent to create CLAUDE.md files with setup instructions and architectural notes.</commentary></example>