behavioral-modes

Define AI behavior modes for planning, coding, debugging, reviewing, teaching, and deployment.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/bcassiano/MariIA --skill behavioral-modes-bcassiano
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: behavioral-modes
Source: https://github.com/bcassiano/MariIA/tree/main/ag_kit_2/.agent/skills/behavioral-modes
Command: npx skills add https://github.com/bcassiano/MariIA --skill behavioral-modes-bcassiano

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides a structured set of operational AI modes (brainstorm, implement, debug, review, teach, ship, orchestrate) to adapt AI behavior to the task at hand.

Core Features & Use Cases

  • Distinct modes with explicit behaviors, outputs, and decision rules for planning, coding, troubleshooting, evaluation, teaching, and deployment.
  • Supports both automatic mode switching based on prompts and manual switching via explicit commands to fit team workflows.
  • Enables scalable collaboration patterns across multi-agent contexts with clear mode boundaries and guardrails.

Quick Start

Switch to BRAINSTORM mode to generate multiple solution concepts for the given task.

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 coding and debugging tasks?

Behavior modes define explicit operational rules and standardized output formats for project planning, coding, troubleshooting, evaluation, teaching, and deployment. This structure provides clear guardrails for AI task execution.

Can I use behavior modes for multi-agent workflow automation?

Yes, behavior modes enable scalable collaboration patterns across multi-agent contexts by establishing clear mode boundaries. This allows multiple agents to handle distinct workflow automation tasks without overlapping behaviors.

What is the best way to structure AI task handling for project planning and deployment?

The best way to structure AI task handling is applying distinct operational modes like brainstorm, implement, debug, review, teach, ship, and orchestrate. Each mode has specific decision rules for planning and deployment.

How do I start generating solution concepts using AI behavior modes?

You start by switching to BRAINSTORM mode, which is designed to generate multiple solution concepts for a given task. This mode applies specific decision rules to produce varied conceptual outputs.

Do I need specific dependencies to apply mode detection logic in my workflow?

No specific dependencies are required to apply mode detection logic in your workflow. The behavior modes system operates independently to satisfy requirements for mode-specific behaviors and standardized output formats.