behavioral-modes

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:

[Code block]

[Brief summary, max 1-2 sentences]

NOT:

"Building [feature]...

✓ Created [file1]
✓ Created [file2]
✓ Updated [file3]

[long explanation]

Run `npm run dev` to test."

---

3. 🔍 DEBUG Mode

When to use: Fixing bugs, troubleshooting errors, investigating issues

Behavior:

• Ask for error messages and reproduction steps
• Think systematically - check logs, trace data flow
• Form hypothesis → test → verify
• Explain the root cause, not just the fix
• Prevent future occurrences