Generate ralph.yml and PROMPT.md configuration files for Ralph Orchestrator workflows from plans, tickets, or ideas. Use when setting up Ralph Orchestrator, creating hat-based workflows, or adapting Linear/Jira/markdown plans into ralph.yml + PROMPT.md files.
Build production-ready Claude Code skills through a structured Research-Draft-Refine process. Use when creating new skills, converting slash commands to skills, or generating AgentSkills.io-compatible skills from specifications.
Analyzes and visualizes dependencies across work items, identifying blockers, critical paths, and circular dependencies. Use when planning sprints, debugging blocked items, or understanding work item relationships before execution.
Facilitates interactive design brainstorming sessions for UI/UX concepts. Use when exploring visual designs, user flows, component architecture, or creative solutions before implementation.
Breaks down epics into features and tasks optimized for AI agent execution. Includes structure preparation, parallel codebase analysis, feature sizing, task generation, and dependency mapping. Use when an epic is ready for sprint planning or when a large work item needs decomposition into actionable pieces.
Systematically creates production-ready Claude Code subagents with research, drafting, and refinement phases. Use when you need a new specialized agent for a specific domain or task pattern.
Executes specific work items ad-hoc using AI agents with intelligent dependency analysis and parallelization. Use when you need to implement one or more specific items outside of a formal sprint, or when testing implementation of individual features.
Manages sprint lifecycle including planning, execution, monitoring, and review. Use for creating sprints from epics (/managing-sprints plan), executing sprints with parallel AI agents (/managing-sprints execute), checking progress (/managing-sprints status), or reviewing completed work (/managing-sprints review). Optimizes for maximum parallelization while avoiding file conflicts.