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team-shinchan:ultrawork

Orchestrate parallel agent execution for multi-file development tasks.

8|2|Updated Feb 3, 2026
Search Tags:#verification#concurrency#parallel-execution#code-change#task-automation#agent-orchestration#rapid-planning
One-click install
npx skills add https://github.com/seokan-jeong/team-shinchan --skill team-shinchan-ultrawork
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: team-shinchan:ultrawork
Source: https://github.com/seokan-jeong/team-shinchan/tree/main/skills/ultrawork
Command: npx skills add https://github.com/seokan-jeong/team-shinchan --skill team-shinchan-ultrawork

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Enables rapid completion of multi-file and multi-step development tasks by orchestrating parallel agent workstreams, reducing latency from sequential handoffs and manual coordination.

Core Features & Use Cases

  • Parallel Agent Orchestration: Breaks tasks into independent units and assigns them to specialized agents to run concurrently.
  • Rapid Planning and Assignment: Performs a minimal planning pass for unclear or large-scope tasks to identify ownership and dependencies.
  • Integration and Verification: Queues dependent tasks, integrates parallel results, and enforces verification via Action Kamen with conflict checks and failure isolation.
  • Use Case: Speed up a cross-cutting feature that touches frontend, backend, and tests by splitting work across agents, running them in background, and merging verified outputs.

Quick Start

Invoke the ultrawork skill to plan, assign, and run parallel agent tasks for the requested multi-file change and return integrated, verified results.

Frequently Asked Questions about team-shinchan:ultrawork

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

FAQPage Schema
How do I automate multi-file code changes across frontend and backend concurrently?▼

Parallel agent orchestration decomposes multi-step development tasks into independent units, assigning them to specialized agents running concurrently in background workstreams, then integrating the verified outputs to reduce latency from sequential handoffs.

What is the best way to speed up cross-cutting feature implementation that touches tests and source code?▼

Rapid planning and assignment performs a minimal planning pass on large-scope tasks to identify ownership and dependencies, then splits work across parallel agents running concurrently, and merges verified outputs to accelerate cross-cutting feature implementation.

How does conflict detection work when running parallel execution for task automation?▼

Conflict detection during parallel execution works by queuing dependent tasks, integrating parallel results, and enforcing verification with failure isolation to prevent inconsistent multi-agent code changes from merging.

Can I use parallel agent workflows for rapid planning of large-scope development tasks?▼

Yes, you can use parallel agent workflows for rapid planning of large-scope development tasks by performing a minimal planning pass to identify ownership and dependencies before assigning tasks to specialized agents for concurrent execution and integration.

When should I not use concurrent multi-agent workflows for software engineering tasks?▼

You should avoid concurrent multi-agent workflows for tightly coupled software engineering tasks lacking independent decomposition, because the Skill relies on queuing dependent tasks and failure isolation to manage integration overhead and conflict detection.

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