agent-orchestration

Coordinate multi-agent feature delivery from spec intake to production-ready code.

Updated Feb 20, 2026
One-click install
npx skills add https://github.com/saajunaid/junai --skill agent-orchestration-saajunaid
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-orchestration
Source: https://github.com/saajunaid/junai/tree/main/.github/skills/workflow/agent-orchestration
Command: npx skills add https://github.com/saajunaid/junai --skill agent-orchestration-saajunaid

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Codify and repeatable orchestrator workflow for multi-agent feature delivery from raw spec to production-ready code, reducing drift and ensuring traceability across all stages.

Core Features & Use Cases

  • Advisory Hub orchestration: human operator coordinates a board of specialised agents to drive a feature from spec to code.
  • Artefact-driven workflow: each stage produces artifacts (specs, ADRs, plans, prompts, tests) that are consumed by subsequent stages.
  • Staged pipeline: triage (quick wins), ADR, plan creation, absorption of changes, phased implementation, code review, and final polish.
  • Git-enabled governance: commits per phase with tests, documented decisions and fix-up workflows.

Quick Start

Load the skill methodology and begin by reading the spec, triaging quick wins, then planning and executing in clearly numbered phases.

Frequently Asked Questions about agent-orchestration

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

FAQPage Schema
How do I orchestrate a multi-agent workflow from spec to production-ready code?

Multi-agent workflow orchestration coordinates an end-to-end pipeline from spec intake to production-ready delivery by enforcing artefact-driven progress, explicit decision gates, and disciplined commits across specialized agents.

What is the best way to manage phased planning and implementation across multiple agents?

Phased planning and implementation across multiple agents is managed through a staged pipeline that triages quick wins, creates architecture decision records, absorbs changes, and executes numbered phases with documented decisions.

How does artefact-driven workflow improve traceability for feature delivery?

Artefact-driven workflow improves traceability by ensuring each stage produces artifacts like specs, ADRs, plans, prompts, and tests that are consumed by subsequent stages, reducing drift and ensuring quality across all delivery stages.

Can I use git commits per phase to govern multi-agent feature delivery?

Git commits per phase govern multi-agent feature delivery by enforcing test passes, documented decisions, and fix-up workflows at each stage, ensuring traceability and repeatability for multi-domain feature implementations.

When do I need a multi-domain agent orchestration pipeline?

A multi-domain agent orchestration pipeline is needed for feature deliveries spanning multiple domains that require phased planning, design decisions, implementation, testing, and code review from raw spec to production-ready code.

What are the limitations of using an advisory hub for multi-agent coordination?

Advisory hub orchestration requires a human operator to coordinate a board of specialized agents, meaning it is not fully autonomous and depends on manual oversight to drive features from spec to code through decision gates.