adopt

Integrate multi-agent orchestration into existing repositories with gap analysis.

5|Updated Jun 3, 2026
One-click install
npx skills add https://github.com/vinceferro/claude-kickoff --skill adopt-vinceferro
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: adopt
Source: https://github.com/vinceferro/claude-kickoff/tree/main/plugin/skills/adopt
Command: npx skills add https://github.com/vinceferro/claude-kickoff --skill adopt-vinceferro

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires git, bash, python3, jq, node.

What problem does it solve?

This skill solves the challenge of bringing autonomous, multi-agent orchestration to legacy or existing repositories without disrupting their current source, history, or configuration.

Core Features & Use Cases

  • Non-Destructive Integration: Adds a coordinator pattern and specialist subagents to an existing codebase additively.
  • Intelligent Gap Analysis: Probes existing agent crews to identify domain coverage gaps and proposes only necessary additions.
  • Safety-First Workflow: Implements a mandatory two-step consent flow (dry-run followed by acceptance) to ensure the operator maintains full control over all changes.

Quick Start

Run the adopt skill on the current directory to analyze the existing codebase and propose a coordinator-led agent structure for your approval.

Frequently Asked Questions about adopt

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

FAQPage Schema
How do I add multi-agent orchestration to an existing codebase without disrupting source or history?

Multi-agent orchestration integrates into existing repositories additively using a coordinator pattern. It probes current agent coverage to deploy specialized subagents only where domain gaps exist, ensuring non-destructive integration that preserves your source and configuration.

What dependencies do I need to run autonomous agent orchestration in brownfield repositories?

Autonomous agent orchestration in brownfield repositories requires git, bash, python3, jq, and Node.js. These dependencies manage the lifecycle of the coordinator pattern and ensure non-destructive integration with your existing codebase.

How does intelligent gap analysis work when deploying AI agents to legacy code?

Intelligent gap analysis probes existing agent crews to identify domain coverage gaps. It proposes specialized subagents only where necessary additions are detected, rather than overwriting or duplicating existing agent configurations.

Can I review proposed AI agent changes before they are applied to my repository?

Yes, a mandatory two-step consent flow ensures you review changes before application. The system executes a dry-run first, followed by an acceptance step, so you maintain full control over all modifications to your codebase.

What is the coordinator pattern for autonomous planning and building in software repositories?

The coordinator pattern is an orchestration system that enables autonomous planning, building, and reviewing. It integrates specialized subagents into existing repositories to handle domain-specific tasks without disrupting current source or history.

When should I use automated agent orchestration instead of manual codebase management?

Automated agent orchestration is ideal when bringing autonomous planning, building, and reviewing to legacy repositories. It suits teams needing to add specialized subagents additively while maintaining strict control through a dry-run and acceptance consent flow.