One-click install
npx skills add https://github.com/marcmunoz-uno/jailbreak --skill team-marcmunoz-uno
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: team
Source: https://github.com/marcmunoz-uno/jailbreak/tree/main/skills/team
Command: npx skills add https://github.com/marcmunoz-uno/jailbreak --skill team-marcmunoz-uno

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Team-based AI work becomes slow and error-prone when you try to coordinate many specialized steps (planning, implementation, verification, and fixes) manually instead of letting agents manage dependencies and handoffs.

Core Features & Use Cases

  • Parallel teammate execution with dependencies: Decomposes a task into subtasks, assigns owners, tracks blocked/unblocked work, and coordinates progress across N agents.
  • Staged pipeline orchestration: Runs a canonical flow (team-plan → team-prd → team-exec → team-verify → team-fix loop) with stage-appropriate specialist routing.
  • Resume/cancel aware state management: Persists team phase and history so work can resume after interruption, and supports controlled cancellation with orderly shutdown.
  • Optional Ralph persistence loop integration: Wraps the team pipeline with retry/persistence behavior when you request the ralph modifier.

Quick Start

Run /oh-my-claudecode:team 5:executor "fix all TypeScript errors across the project" to have coordinated agents plan, execute, verify, and iterate until the fix criteria are met.

Frequently Asked Questions about team

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I coordinate multiple AI agents for parallel refactoring and multi-module bug fixing?▼

Coordinate multiple AI agents for parallel refactoring by decomposing a shared task into subtasks with blockedBy dependencies, assigning specialist owners, and routing work through a staged pipeline of planning, execution, verification, and fixes.

Can I resume or cancel a multi-agent task pipeline after an interruption?▼

Yes, multi-agent task pipelines support resume and cancel semantics by persisting team phase and history, allowing work to resume after interruption or execute a controlled cancellation with orderly shutdown.

What is the best way to orchestrate a team of agents to fix all TypeScript errors across a project?▼

The best way to orchestrate agents for fixing TypeScript errors is running a canonical team-plan, team-exec, team-verify, and team-fix loop that iterates until fix criteria are met across coordinated agents.

Does Claude Code support team orchestration with dependency management for complex software engineering workflows?▼

Claude Code supports team orchestration with dependency management by using native team tools to track blocked and unblocked work, route stage-specific specialists, and coordinate progress across N agents.

When do I need staged pipeline routing for agent collaboration instead of running tasks sequentially?▼

Staged pipeline routing for agent collaboration is needed when subtasks have dependencies and require stage-specific specialists, such as architecture changes and test loops where parallel execution and verification must be coordinated.

Why does manual coordination of specialized AI agents become slow and error-prone?▼

Manual coordination of specialized AI agents becomes slow and error-prone because it lacks automated dependency tracking and handoffs, preventing agents from managing blockedBy relationships and stage-specific routing across a shared task.