behavioral-modes

Detect task types and switch AI modes for planning, coding, debugging, review, teaching, and deployment.

Updated Mar 8, 2026

Search Tags:#planning #debugging #multi-agent #code #behavior #code-review #modes

Ready to run

npx skills add https://github.com/darthlinuxer/dialectic-crew-ai --skill behavioral-modes-darthlinuxer

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: behavioral-modes
Source: https://github.com/darthlinuxer/dialectic-crew-ai/tree/main/src/mcp/skills/behavioral-modes
Command: npx skills add https://github.com/darthlinuxer/dialectic-crew-ai --skill behavioral-modes-darthlinuxer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It reduces mismatched AI responses by adapting the assistant's approach, tone, and output format to the user's current task type, preventing unhelpful verbosity or wrong-style answers.

Core Features & Use Cases

Defines six operational modes (BRAINSTORM, IMPLEMENT, DEBUG, REVIEW, TEACH, SHIP) that change reasoning style, questioning behavior, and output structure to suit planning, coding, troubleshooting, reviewing, teaching, or deployment tasks.
Automatic mode detection from trigger phrases plus manual mode switching via explicit commands to enforce constraints like concise production code in IMPLEMENT or multi-option ideation in BRAINSTORM.
Multi-agent collaboration patterns (Explore, Plan-Execute-Critic, Mental Model Sync) to coordinate discovery, execution, and critique across agents for complex workflows such as feature implementation, security review, or release preparation.

Quick Start

Ask the AI to switch modes with a direct command such as: /implement build the user profile page and return production-ready code and tests.

Frequently Asked Questions about behavioral-modes

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

FAQPage Schema

How do I adapt AI behavior for different coding tasks like debugging and planning?▼

You can adapt AI behavior for coding tasks by switching between six operational modes that adjust reasoning style, questioning, and output structure to match specific planning, debugging, or code review scenarios.

What is the best way to coordinate multiple AI agents during a code review?▼

Multi-agent collaboration patterns like Plan-Execute-Critic and Mental Model Sync coordinate outputs across agents, enabling structured code reviews by separating execution, discovery, and critique across distinct AI workflows.

How does automatic mode detection work when planning features with AI?▼

Automatic mode detection triggers from specific prompt phrases, shifting the assistant into planning or implementation modes to enforce constraints like concise production code without requiring manual configuration.

Can I use explicit commands to switch AI modes for software engineering workflows?▼

Yes, you can use explicit slash commands like /implement to manually switch modes, enforcing strict constraints for deployment, teaching, or coding tasks across single-agent and multi-agent workflows.

Why does my AI assistant return verbose code instead of concise production-ready output?▼

Verbose code often occurs when the AI lacks task context; using the IMPLEMENT mode enforces mode-specific constraints that generate concise production code and tests instead of unhelpful verbosity.

When do I need divergent ideation for brainstorming software architecture?▼

Divergent ideation is needed during early planning phases; the BRAINSTORM mode adjusts the AI's reasoning style to provide multi-option ideation for exploring software architecture and feature implementation.