agent-orchestration

Design multi-step agent workflows combining skills, tools, and context sources.

Updated Sep 14, 2026
One-click install
npx skills add https://github.com/Lawrence908/chiron --skill agent-orchestration-lawrence908
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-orchestration
Source: https://github.com/Lawrence908/chiron/tree/main/plugins/ai/skills/agent-orchestration
Command: npx skills add https://github.com/Lawrence908/chiron --skill agent-orchestration-lawrence908

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Complex tasks like end-to-end feature development or multi-phase infrastructure changes require coordinating multiple skills, tools, and context sources in the right order, and ad-hoc execution leads to missed validation, context overload, and no rollback path. ## Core Features & Use Cases - Orchestration Planning: Breaks a task into discrete phases, maps required skills to each phase, and defines dependencies between steps. - Context Loading Strategy: Specifies which files, APIs, or databases to load incrementally per phase to avoid context window overflow. - Validation & Rollback: Defines validation checkpoints, success criteria, and rollback procedures for every destructive step. - Use Case: Adding a new Docker service to a homelab by orchestrating a change-planning phase, a docker-compose editing phase, deployment preparation, and execution with verification and rollback instructions. ## Quick Start Create an orchestration plan for adding a new Docker service to my homelab that combines change planning, compose editing, and deployment with validation checkpoints and rollback steps.

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-step agent workflow?▼

Break the task into discrete phases, assign a required skill to each phase, and map dependencies between steps. Then define the context to load per phase, validation checkpoints, success criteria, and rollback procedures before executing.

How to combine multiple AI skills in one workflow?▼

List the required skills in execution order, specify the context each phase needs, and keep the workflow focused on related skills only. Insert validation checkpoints between phases so a failure in one phase does not corrupt downstream steps.

How do I avoid context window overflow in long agent workflows?▼

Load context incrementally per phase instead of loading everything upfront. The orchestration plan should specify exactly which files, APIs, or databases each phase requires and discard intermediate context once a phase is validated.

When should I not use multi-skill orchestration?▼

Avoid it for single-step tasks or when combining unrelated skills, which produces unfocused workflows. It is also a poor fit if you cannot define clear success criteria per phase or skip validation checkpoints between phases.

How do I handle rollback in automated agent workflows?▼

Define a rollback procedure for every destructive step before execution, such as docker-compose down for a failed service deployment. Require explicit confirmation at each destructive step and keep phases separated so earlier state can be restored.