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gsd-ns-workflow

Coordinates multi-step AI workflows through planning, execution, and verification phases.

1|Updated Apr 4, 2026
Search Tags:#automation#workflow#planning#collaboration#agent#orchestration
One-click install
npx skills add https://github.com/nnexai/git-stacks --skill gsd-ns-workflow-nnexai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gsd-ns-workflow
Source: https://github.com/nnexai/git-stacks/tree/main/.codex/skills/gsd-ns-workflow
Command: npx skills add https://github.com/nnexai/git-stacks --skill gsd-ns-workflow-nnexai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the challenge of managing multi-step, multi-agent AI workflows by providing a structured framework for planning, execution, and verification.

Core Features & Use Cases

  • Phase-Based Orchestration: Manage complex tasks through defined phases like discuss, plan, execute, and verify.
  • Agent Dispatching: Seamlessly spawn and coordinate sub-agents for specialized tasks while handling schema limitations.
  • Use Case: Use this to manage a multi-repo feature implementation where you need to plan the architecture, execute code changes across different worktrees, and verify the results through automated testing.

Quick Start

Invoke the gsd-ns-workflow skill to begin a new planning phase for your current project.

Frequently Asked Questions about gsd-ns-workflow

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

FAQPage Schema
How do I orchestrate complex multi-agent AI workflows for software engineering projects?▼

You orchestrate multi-agent AI workflows by mapping high-level task phases to specific execution strategies and sub-agent dispatching. This framework provides structured planning, iterative execution, and cross-agent collaboration for complex software engineering projects.

What is phase-based orchestration for coordinating AI agents?▼

Phase-based orchestration manages complex tasks through defined stages like discuss, plan, execute, and verify. It provides a structured framework that coordinates sub-agent dispatching while handling schema limitations during multi-step AI execution.

How do I manage multi-repo feature implementation across different worktrees?▼

Multi-repo feature implementation is managed by using a structured workflow to plan architecture, execute code changes across different worktrees, and verify results. This is achieved through automated testing and phase-based sub-agent dispatching.

Can I use context-aware routing for schema-agnostic tool invocation in AI agents?▼

Yes, context-aware agent routing supports schema-agnostic tool invocation within complex AI workflows. The orchestration framework dispatches specialized sub-agents dynamically while maintaining robust workflow state management across tasks.

What are the limitations of using a structured workflow for multi-agent AI collaboration?▼

Limitations of structured multi-agent workflows include the overhead of managing phase transitions and sub-agent dispatching. Complex tasks require strict workflow state management, and schema limitations may constrain seamless cross-agent collaboration.

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