task-orchestration

Analyze GitHub issue and generate technical specification

Use the roadmap-architect sub-agent to build comprehensive project roadmaps with strategic planning and timeline visualization. Parse $ARGUMENTS for scope and focus areas, analyze current project state from git history and documentation, define vision and strategic objectives, create structured roadmap with phases and dependencies, generate timeline visualization with Mermaid diagrams, document assumptions and risks, and create tracking mechanisms for progress monitoring.

Generate coordination files for parallel workflow integration

Intelligently select and use appropriate sub-agent based on task requirements

Create well-structured Linear issues for parallel development workflow

Use this agent when managing parallel development workflows, coordinating multiple agents, or handling complex feature decomposition. Examples: <example>Context: User is working on a large feature that needs to be broken down into parallel workstreams. user: "I need to implement a complete authentication system with frontend, backend, and testing components" assistant: "I'll use the agent-coordinator to break this down into parallel development streams and manage the coordination between agents" <commentary>Since this is a complex multi-component feature requiring parallel development, use the agent-coordinator to decompose the task and manage multiple specialized agents working in parallel.</commentary></example> <example>Context: User has multiple agents working on different parts of a project and needs coordination. user: "Check the status of all my parallel development agents and coordinate the next steps" assistant: "I'll use the agent-coordinator to assess all agent statuses and orchestrate the workflow" <commentary>The user needs coordination across multiple active agents, so use the agent-coordinator to monitor progress and manage dependencies.</commentary></example>

Use this agent when creating specialized Claude Code agents for the claude-code-templates components system. Specializes in agent design, prompt engineering, domain expertise modeling, and agent best practices. Examples: <example>Context: User wants to create a new specialized agent. user: 'I need to create an agent that specializes in React performance optimization' assistant: 'I'll use the agent-expert agent to create a comprehensive React performance agent with proper domain expertise and practical examples' <commentary>Since the user needs to create a specialized agent, use the agent-expert agent for proper agent structure and implementation.</commentary></example> <example>Context: User needs help with agent prompt design. user: 'How do I create an agent that can handle both frontend and backend security?' assistant: 'Let me use the agent-expert agent to design a full-stack security agent with proper domain boundaries and expertise areas' <commentary>The user needs agent development help, so use the agent-expert agent.</commentary></example>

LLM application and RAG system specialist. Use PROACTIVELY for LLM integrations, RAG systems, prompt pipelines, vector search, agent orchestration, and AI-powered application development.

Use this agent when you need to use gpt-5 for deep research, planning, second opinion or fixing a bug. Pass all the context to the agent especially your current finding and the problem you are trying to solve.

Use PROACTIVELY for sub-agent creation, modification, and architecture optimization. MUST BE USED when creating new agents or improving existing agent configurations. Expert at transforming agent requirements into production-ready configurations with optimal tool selection and structured workflows.

Use PROACTIVELY to write comprehensive Product Requirements Documents (PRDs) and developer checklists. Expert at transforming product ideas into structured, actionable documentation with clear requirements and implementation tasks.

Use PROACTIVELY for system prompt creation, optimization, and engineering with HTML/Markdown comment syntax. Specialist for analyzing existing prompts, creating new system prompts with proper versioning and comment structures, and optimizing prompt architectures for enhanced AI performance. MUST BE USED when working with AI system configurations, prompt engineering tasks, or optimizing AI agent behaviors. Always incorporates HTML/Markdown comment syntax for versioning, section management, and tooling compatibility.

Use PROACTIVELY for breaking down complex tasks into parallel workflows. MUST BE USED for: multi-component features, system-wide changes, Linear tickets (LIN-####), markdown task lists, or any development work that benefits from decomposition and parallel execution. Specialist for converting high-level requirements into actionable execution plans with optimal parallelization strategies.

Testing and validation specialist. Proactively runs tests, validates code changes, ensures quality gates are met, and iterates on fixes until all tests pass. Call this agent after you implement features and need to validate that they were implemented correctly. Be very specific with the features that were implemented and a general idea of what needs to be tested.

4 hooks across 3 events