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behavioral-modes

Coordinate adaptive AI operating modes with Trust-Grade governance constraints.

7|1|Updated Feb 5, 2026
Search Tags:#debugging#implementation#brainstorm#mode-detection#ai-governance#adaptive-modes#trust-grade
One-click install
npx skills add https://github.com/besync-labs/antigravity-ai-kit --skill behavioral-modes-besync-labs
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: behavioral-modes
Source: https://github.com/besync-labs/antigravity-ai-kit/tree/main/.agent/skills/behavioral-modes
Command: npx skills add https://github.com/besync-labs/antigravity-ai-kit --skill behavioral-modes-besync-labs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Governing AI behavior across planning, coding, debugging, and deployment by selecting distinct operational modes to maintain governance and safety.

Core Features & Use Cases

  • BRAINSTORM Mode for ideation and exploration with multiple alternatives.
  • IMPLEMENT Mode for fast, production-ready coding with strong quality focus.
  • DEBUG Mode for systematic troubleshooting and root-cause analysis.
  • REVIEW Mode for thorough code and architecture assessments.
  • TEACH Mode for concept explanations, onboarding, and documentation.
  • SHIP Mode for production readiness and deployment verification.

Quick Start

Switch to BRAINSTORM mode to plan and ideate the next steps.

Frequently Asked Questions about behavioral-modes

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

FAQPage Schema
How do I govern AI behavior across different coding and deployment tasks?▼

Governing AI behavior across planning, coding, and deployment requires selecting distinct operational modes to maintain safety and apply governance constraints throughout the software engineering lifecycle.

What is the best way to switch AI modes from brainstorming to production implementation?▼

Switching AI modes from brainstorming to implementation requires mode detection and documented mode transitions, moving from exploratory ideation to fast, production-ready coding with a strong quality focus.

Can I use adaptive AI modes for systematic debugging and root-cause analysis?▼

Adaptive AI modes support systematic debugging and root-cause analysis by applying a dedicated DEBUG mode, ensuring troubleshooting remains within governed, trust-grade behavioral constraints.

Does AI mode detection work for code review and production readiness verification?▼

AI mode detection works for code review and production readiness by applying REVIEW and SHIP modes, applying governance guardrails to assess architecture and verify deployment readiness.

When do I need Trust-Grade guardrails for AI-assisted software engineering?▼

Trust-Grade guardrails are needed when applying adaptive AI modes to software engineering tasks, ensuring documented mode transitions and governance constraints during ideation, implementation, and deployment.

How to use TEACH mode for developer onboarding and concept documentation?▼

TEACH mode facilitates developer onboarding and concept documentation by applying governed AI behavior constraints to generate explanations within a trusted, documented operational mode.

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