behavioral-modes

Switch AI behavior between predefined operational modes based on task type.

Updated Aug 22, 2025
One-click install
npx skills add https://github.com/AnthonyCongHieu/voice_tool --skill behavioral-modes-anthonyconghieu
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: behavioral-modes
Source: https://github.com/AnthonyCongHieu/voice_tool/tree/main/voice_tools_v1/.agent/skills/behavioral-modes
Command: npx skills add https://github.com/AnthonyCongHieu/voice_tool --skill behavioral-modes-anthonyconghieu

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Adaptive AI operating modes help the system adjust behavior to different task types, improving efficiency, clarity, and outcomes.

Core Features & Use Cases

  • BRAINSTORM mode for early ideation and exploring multiple options.
  • IMPLEMENT mode for coding, feature development, and plan execution with quality focus.
  • DEBUG mode for systematic issue investigation and root-cause analysis.
  • REVIEW mode for code and architecture evaluation with actionable feedback.
  • TEACH mode for explanations, learning, and onboarding.
  • SHIP mode for production-readiness, deployment checks, and stability.
  • Auto-detection of mode based on user prompts to switch workflows automatically.

Quick Start

Tell me to switch modes with a command like '/brainstorm new feature ideas' to start.

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 software engineering tasks?

The predefined modes include BRAINSTORM for ideation, IMPLEMENT for coding, DEBUG for investigation, REVIEW for evaluation, TEACH for learning, and SHIP for deployment. Each mode has defined behaviors and output styles.

Can I use auto-detection to switch workflows automatically during code review?

Yes, auto-detection analyzes your prompts to switch workflows automatically, identifying when you need code review. This ensures the AI applies the appropriate evaluation behaviors and output styles without manual commands.

What is the best way to adapt AI output for debugging versus deployment?

The best way is using the DEBUG mode for systematic root-cause analysis and the SHIP mode for production-readiness checks. Switching modes ensures the AI focuses on stability and deployment criteria rather than exploration.

How do I start teaching and onboarding with adaptive AI modes?

Start teaching by triggering the TEACH mode using a command like '/teach'. This configures the AI to provide explanations and learning materials, adjusting its behavior to focus on onboarding and educational clarity.

Do I need to install dependencies to use mode-switching for AI behavior?

No dependencies are required to use mode-switching for AI behavior. The Skill implements the mode taxonomy internally, allowing you to switch workflows and output styles directly within your existing environment.