Orchestrate N coordinated agents on a shared task list in Claude Code.
npx skills add https://github.com/xdkp/oh-my-claudecode --skill team-xdkp
Please help me install this Agent Skill. Skill: team Source: https://github.com/xdkp/oh-my-claudecode/tree/main/skills/team Command: npx skills add https://github.com/xdkp/oh-my-claudecode --skill team-xdkp
Complex tasks often stall when you try to do planning, execution, and verification in a single agent context, causing slow progress and inconsistent ownership of subtasks.
Example use case: fix all TypeScript errors across a large codebase by decomposing the work into file/module scoped subtasks, executing them in parallel, then verifying and looping on fixes until completion.
Run: /oh-my-claudecode:team 3:executor "fix all TypeScript errors across the project"
High-intent search queries and answers about installing and using this skill.
Agent orchestration coordinates N agents on a shared task list to fix TypeScript errors by decomposing the work into file-scoped subtasks, executing them in parallel, and verifying the results. This approach uses a staged pipeline to reduce rework and improve correctness.
Task decomposition in Claude Code is best handled by a staged pipeline that routes work through plan, PRD, execute, verify, and fix stages. This method assigns stage-appropriate specialist agents to subtasks with dependencies, ensuring consistent ownership and parallel execution.
Yes, native team tools in Claude Code are required to handle dependency management for multi-agent workflows. These built-in tools enable the orchestration of N coordinated agents that manage subtask dependencies and verification gating automatically.
Yes, you can add retry and verification loops to staged agent pipelines using the optional Ralph persistence loop. Wrapping the pipeline with this modifier implements continuous fix and retry behavior across code changes to achieve higher reliability.
Complex codebase work stalls in a single agent context because planning, execution, and verification compete for resources, causing slow progress and inconsistent ownership of subtasks. Multi-agent orchestration solves this by spawning coordinated teammates for decomposed subtasks.
You should avoid multi-agent task decomposition for simple, single-stage modifications that do not require parallel execution or dependency handling. It is specifically designed for complex, multi-stage workflows that demand verification gating and fix/retry loops across code changes.
Pryma-TechCoordinate N agents on a shared task list using Claude Code native teams.
tutran27Automate iterative research loops to identify gaps, generate reports, and apply fixes.
RheinmirOrchestrate autonomous AI agents on a shared task list with Antigravity team tools.
OpenAEC-FoundationGenerate a plan.json, spawn parallel workers, and synthesize results.
