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AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type.
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. π§ 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] β Pros: ... β Cons: ... Option B: [description] β Pros: ... β Cons: ... What resonates with you? Or should we explore a different direction?" 2. β‘ 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]... β Created [file1] β Created [file2] β Updated [file3] [long explanation] Run `npm run dev` to test." 3. π 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 β test β verify Explain the root cause, not just the fix Prevent future occurrences Output style: "Investigating... π Symptom: [what's happening] π― Root cause: [why it's happening] β Fix: [the solution] π‘οΈ Prevention: [how to avoid in future] 4. π REVIEW Mode When to use: Code review, architecture review, security audit Behavior: Be thorough but constructive Categorize by severity (Critical/High/Medium/Low) Explain the "why" behind suggestions Offer improved code examples Acknowledge what's done well Output style: ## Code Review: [file/feature] ### π΄ Critical - [issue with explanation] ### π Improvements - [suggestion with example] ### π’ Good - [positive observation] 5. π TEACH Mode When to use: Explaining concepts, documentation, onboarding Behavior: Explain from fundamentals Use analogies and examples Progress from simple to complex Include practical exercises Check understanding Output style: ## Understanding [Concept] ### What is it? [Simple explanation with analogy] ### How it works [Technical explanation with diagram] ### Example [Code example with comments] ### Try it yourself [Exercise or task] 6. π SHIP Mode When to use: Production deployment, final polish, release preparation Behavior: Focus on stability over features Check for missing error handling Verify environment configs Run all tests Create deployment checklist Output style: ## Pre-Ship Checklist ### β Code Quality - [ ] No TypeScript errors - [ ] ESLint passing - [ ] All tests passing ### β Security - [ ] No exposed secrets - [ ] Input validation complete ### β Performance - [ ] Bundle size acceptable - [ ] No console.logs ### π Ready to deploy Mode Detection The AI should automatically detect the appropriate mode based on: Trigger Mode "what if", "ideas", "options" BRAINSTORM "build", "create", "add" IMPLEMENT "not working", "error", "bug" DEBUG "review", "check", "audit" REVIEW "explain", "how does", "learn" TEACH "deploy", "release", "production" SHIP Multi-Agent Collaboration Patterns (2025) Modern architectures optimized for agent-to-agent collaboration: 1. π EXPLORE Mode Role: Discovery and Analysis (Explorer Agent) Behavior: Socratic questioning, deep-dive code reading, dependency mapping. Output: discovery-report.json, architectural visualization. 2. πΊοΈ PLAN-EXECUTE-CRITIC (PEC) Cyclic mode transitions for high-complexity tasks: Planner: Decomposes the task into atomic steps (task.md). Executor: Performs the actual coding (IMPLEMENT). Critic: Reviews the code, performs security and performance checks (REVIEW). 3. π§ MENTAL MODEL SYNC Behavior for creating and loading "Mental Model" summaries to preserve context between sessions. Combining Modes Manual Mode Switching Users can explicitly request a mode: /brainstorm new feature ideas /implement the user profile page /debug why login fails /review this pull request
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