parallel
The parallel slash command decomposes large compound tasks into independent work packages, each executed in a separate Claude process with full plugin capabilities. Use it when tackling multi-component projects with three or more independent parts that would benefit from isolated, simultaneous execution, such as building authentication systems, e-commerce platforms, or CI/CD pipelines.
mkdir -p ~/.claude/commands && curl -fsSL https://raw.githubusercontent.com/nyldn/claude-octopus/HEAD/.claude/commands/parallel.md -o ~/.claude/commands/parallel.mdparallel.md
# Parallel - Team of Teams ## INSTRUCTIONS FOR CLAUDE When the user invokes this command (e.g., `/octo:parallel <arguments>`): **CORRECT - Use the Skill tool:** ``` Skill(skill: "octo:parallel", args: "<user's arguments>") ``` **INCORRECT:** ``` Skill(skill: "flow-parallel", ...) ❌ Wrong! Internal skill name, not resolvable by Skill tool Task(subagent_type: "octo:parallel", ...) ❌ Wrong! This is a skill, not an agent type ``` --- **Auto-loads the parallel skill for Team of Teams orchestration.** ## Quick Usage Describe the compound task you want decomposed: ``` "Build a full authentication system with OAuth, RBAC, and audit logging" "Create a complete e-commerce platform with payments, inventory, and shipping" "Implement CI/CD pipeline with testing, linting, and deployment stages" ``` ## What Is Parallel? **Team of Teams** orchestration — decomposes compound tasks into independent work packages and delegates each to a separate `claude -p` process. Each process loads the full Octopus plugin, giving every work package its own Double Diamond, agents, and quality gates. Key architectural distinction: Task tool subagents don't load plugins. Independent `claude -p` processes do. ## What You Get - Work Breakdown Structure (WBS) decomposition - Adversarial WBS cross-check to catch missed dependencies and scope overlaps before agents launch - Independent `claude -p` processes per work package - Full plugin capabilities in each worker - Parallel execution with staggered launch - Aggregated results with exit code verification ## When To Use - Compound tasks with 3+ independent components - Tasks that would benefit from parallel execution - Projects where each component needs full AI capabilities - When you want isolated, non-interfering work streams ## Natural Language Examples ``` "Parallel build auth system with OAuth, sessions, and RBAC" "Team up on building a dashboard with charts, filters, and export" "Decompose and parallelize the API migration across 5 services" ```
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