behavioral-modes

Switch AI operational modes for brainstorming, development, debugging, review, teaching, and deployment tasks.

4|Updated Jan 23, 2026

Search Tags:#ai #debug #review #brainstorm #operational-modes #adaptive-behavior #mode-detection

Ready to run

npx skills add https://github.com/marcusagm/Mundam --skill behavioral-modes-marcusagm

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill defines distinct AI operational modes to optimize performance across planning, implementation, debugging, review, teaching, and release tasks.

Core Features & Use Cases

Mode-driven behavior: Tailors the AI's approach for brainstorming, coding, testing, reviewing, and instruction, reducing ambiguity and improving results.
Explicit mode set & auto-detection: Supports manual switching and automatic detection to select the best mode for a given task.
Multi-Agent Collaboration: Describes how Explorer, Planner, Executor, and Critic roles coordinate to accelerate complex tasks.

Quick Start

Use the behavioral-modes skill to switch the AI into BRAINSTORM, IMPLEMENT, DEBUG, REVIEW, TEACH, or SHIP when starting a new 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 operational modes for different software engineering tasks?▼

You can switch AI operational modes manually to BRAINSTORM, IMPLEMENT, DEBUG, REVIEW, TEACH, or SHIP when starting a new task. This tailors the AI's behavior to optimize problem solving and task execution across planning, coding, and deployment contexts.

What is AI mode detection and how does it work for adaptive behavior?▼

AI mode detection automatically identifies the best operational mode for a given task. It applies mode-detection rules to select the appropriate behavior for brainstorming, development, debugging, review, teaching, or deployment without requiring manual switching.

What's the best way to coordinate multi-agent collaboration for complex development tasks?▼

Multi-agent collaboration coordinates Explorer, Planner, Executor, and Critic roles to accelerate complex tasks. These roles work together within the operational modes to optimize problem solving and maintain safety during task execution.

Can I use behavioral modes for code review and debugging workflows?▼

Yes, behavioral modes support dedicated REVIEW and DEBUG modes tailored for code review and debugging workflows. These modes reduce ambiguity and improve results by adapting the AI's approach to the specific task context.

Do I need any dependencies to set up adaptive AI behavior modes?▼

No dependencies are required to set up adaptive AI behavior modes. The skill operates independently to satisfy explicit mode behaviors, mode-detection rules, and multi-agent collaboration patterns while maintaining safety and ease of mode switching.

When should I not use automatic mode detection for task execution?▼

You should avoid automatic mode detection when explicit control over task execution is required. In such cases, manually switch to BRAINSTORM, IMPLEMENT, DEBUG, REVIEW, TEACH, or SHIP to ensure the AI applies the exact behavior needed for your specific context.