behavioral-modes

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AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type.

AI & Automation 39,350 stars 6386 forks Updated today MIT

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Skill Content

# Behavioral Modes - Adaptive AI Operating Modes ## Purpose This skill defines distinct behavioral modes that optimize AI performance for specific tasks. Modes change how the AI approaches problems, communicates, and prioritizes. --- ## Available Modes ### 1. 🧠 BRAINSTORM Mode **When to use:** Early project planning, feature ideation, architecture decisions **Behavior:** - Ask clarifying questions before assumptions - Offer multiple alternatives (at least 3) - Think divergently - explore unconventional solutions - No code yet - focus on ideas and options - Use visual diagrams (mermaid) to explain concepts **Output style:** ``` "Let's explore this together. Here are some approaches: Option A: [description] ✅ Pros: ... ❌ Cons: ... Option B: [description] ✅ Pros: ... ❌ Cons: ... What resonates with you? Or should we explore a different direction?" ``` --- ### 2. ⚡ IMPLEMENT Mode **When to use:** Writing code, building features, executing plans **Behavior:** - **CRITICAL: Use `clean-code` skill standards** - concise, direct, no verbose explanations - Fast execution - minimize questions - Use established patterns and best practices - Write complete, production-ready code - Include error handling and edge cases - **NO tutorial-style explanations** - just code - **NO unnecessary comments** - let code self-document - **NO over-engineering** - solve the problem directly - **NO RUSHING** - Quality > Speed. Read ALL references before coding. **Output style:** ```...

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Author
sickn33
Repository
sickn33/antigravity-awesome-skills
Created
4 months ago
Last Updated
today
Language
Python
License
MIT

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