behavioral-modes

Select predefined operational modes for AI behavior across workflows.

Updated Feb 22, 2026

Search Tags:#workflow #planning #collaboration #ai #mode-switching #modes #adaptive-behavior

Ready to run

npx skills add https://github.com/gelsonsimoes/wms-verticalparts --skill behavioral-modes-gelsonsimoes

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: behavioral-modes
Source: https://github.com/gelsonsimoes/wms-verticalparts/tree/main/.agent/skills/behavioral-modes
Command: npx skills add https://github.com/gelsonsimoes/wms-verticalparts --skill behavioral-modes-gelsonsimoes

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type.

Core Features & Use Cases

Defines distinct behavioral modes that optimize AI performance for specific tasks.
Modes adjust how the AI approaches problems, communicates, and prioritizes.
Use cases include switching between BRAINSTORM for ideation, IMPLEMENT for coding, and SHIP for deployment.

Quick Start

Activate the most suitable mode for your current task and instruct the AI to operate in that mode.

Frequently Asked Questions about behavioral-modes

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

FAQPage Schema

How do I switch AI behavior modes for different project tasks?▼

AI mode-switching lets you coordinate behavior by selecting predefined operational modes like brainstorm, implement, or debug to fit your current task. Activate the most suitable mode and instruct the AI to operate within those documented rules.

What are adaptive AI modes and when do I need them?▼

Adaptive AI modes are distinct behavioral configurations that optimize AI performance for specific tasks. You need mode-switching when moving between ideation, coding, debugging, review, teaching, ship, and orchestration workflows across projects.

Can I use predefined AI modes for both brainstorming and deployment workflows?▼

Yes, predefined AI modes cover both brainstorming and deployment workflows. You can transition between BRAINSTORM for ideation, IMPLEMENT for coding, and SHIP for deployment, ensuring mode transitions follow safe, documented rules.

What is the best way to coordinate AI workflows across multiple project phases?▼

The best way to coordinate AI workflows is using adaptive mode-detection triggers that select operational modes matching your project phase. This ensures safe transitions between implementation, debugging, review, and orchestration tasks.

Do I need specific dependencies to implement AI mode-switching?▼

No dependencies are required to implement AI mode-switching. The adaptive modes operate independently, allowing you to apply documented behavioral rules and mode-detection triggers directly within your existing project workflow.

Why does my AI behavior stay the same when switching between debugging and review tasks?▼

AI behavior remains static when mode transitions do not follow documented mode-detection triggers. You must explicitly activate the appropriate operational mode, such as DEBUG or REVIEW, to adjust how the AI approaches problems and prioritizes tasks.