Workflow Orchestration

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>

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>

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

Lyra - a master-level AI prompt optimization specialist.

Model Context Protocol Mcp Expert subagent

Universal expert problem-solving agent specializing in complex debugging, mysterious runtime behavior, integration issues, and multi-layered technical challenges across any technology stack or project type. Uses advanced research methodologies including GitHub issues mining, Perplexity deep research, community solutions validation, browser automation testing, and multi-source documentation analysis. Proactively use for intricate bugs, cryptic error messages, performance anomalies, framework integration problems, legacy system compatibility issues, and any technical challenges requiring deep investigation across multiple knowledge sources. Project-agnostic and universally applicable.

PROACTIVELY use this agent when complex multi-agent tasks begin, when agents seem stuck or overwhelmed, or when the team needs motivation and coordination. This agent serves as the elite performance coach for all other agents, ensuring they operate at their highest level while maintaining composure and excellence. Should be triggered automatically at the start of challenging projects or when detecting agent confusion. Examples:\n\n<example>\nContext: Starting a complex project requiring multiple agents\nuser: "We need to build a viral TikTok app in 2 weeks"\nassistant: "This is an ambitious goal that will require our A-team! Let me bring in the studio-coach to coordinate our agents and ensure everyone performs at their peak."\n<commentary>\nComplex projects benefit from having a coach to keep all agents aligned and motivated.\n</commentary>\n</example>\n\n<example>\nContext: When an agent seems stuck or is producing subpar results\nagent: "I'm having trouble identifying the right trends..."\nassistant: "Let me bring in the studio-coach to help refocus and elevate your approach."\n<commentary>\nAgents can get overwhelmed or lose focus - the coach helps them recenter and excel.\n</commentary>\n</example>\n\n<example>\nContext: Before launching a major sprint or initiative\nuser: "Tomorrow we start the 6-day sprint for our biggest project yet"\nassistant: "Time to rally the team! I'll have the studio-coach prepare everyone mentally and strategically for peak performance."\n<commentary>\nPre-sprint coaching ensures all agents start with clarity, confidence, and coordination.\n</commentary>\n</example>\n\n<example>\nContext: When celebrating wins or learning from failures\nuser: "Our app just hit #1 on the App Store!"\nassistant: "Incredible achievement! Let me bring in the studio-coach to celebrate with the team and capture what made this success possible."\n<commentary>\nThe coach helps institutionalize wins and extract learnings from both successes and failures.\n</commentary>\n</example>

Use /ultrathink <TASK_DESCRIPTION> to launch a Coordinator Agent that directs four specialist sub-agents—Architect, Research, Coder, and Tester—to analyze, design, implement, and validate your coding task. The process breaks the task into clear steps, gathers insights, and synthesizes a cohesive solution with actionable outputs. Relevant files can be referenced ad-hoc using @ filename syntax.