应用简介
人工智能操作模式(头脑风暴、实施、调试、审查、教学、发货、编排)。根据任务类型调整行为。
--- name: behavioral-modes description: "AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type." risk: unknown source: community date_added: "2026-02-27" --- # 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 **Output style:** ``` "Investigating... 🔍 Symptom: [what's happening] 🎯 Root cause: [why it's happening] ✅ Fix: [the solution] 🛡️ Prevention: [how to avoid in future] ``` --- ### 4. 📋 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] ### 🔴 Critical - [issue with explanation] ### 🟠 Improvements - [suggestion with example] ### 🟢 Good - [positive observation] ``` --- ### 5. 📚 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. 🚀 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 ### ✅ Code Quality - [ ] No TypeScript errors - [ ] ESLint passing - [ ] All tests passing ### ✅ Security - [ ] No exposed secrets - [ ] Input validation complete ### ✅ Performance - [ ] Bundle size acceptable - [ ] No console.logs ### 🚀 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. 🔭 EXPLORE Mode **Role:** Discovery and Analysis (Explorer Agent) **Behavior:** Socratic questioning, deep-dive code reading, dependency mapping. **Output:** `discovery-report.json`, architectural visualization. ### 2. 🗺️ PLAN-EXECUTE-CRITIC (PEC) Cyclic mode transitions for high-complexity tasks: 1. **Planner:** Decomposes the task into atomic steps (`task.md`). 2. **Executor:** Performs the actual coding (`IMPLEMENT`). 3. **Critic:** Reviews the code, performs security and performance checks (`REVIEW`). ### 3. 🧠 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 ``` ## When to Use This skill is applicable to execute the workflow or actions described in the overview. ## Limitations - Use this skill only when the task clearly matches the scope described above. - Do not treat the output as a substitute for environment-specific validation, testing, or expert review. - Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
发布日期
5/16/2026
提供方
SkillOPIC
来源类型
导入
sickn33
other
数据安全
使用 Skill 时,您的对话内容将被发送至 AI 模型进行处理。我们会严格保护您的隐私数据,不会将您的对话内容用于模型训练或分享给第三方。 以下为此 Skill 的数据处理说明。
此 Skill 将处理您的对话输入
您的消息将作为 Prompt 上下文发送至 AI 模型
所有通信均通过加密通道传输
对话记录仅保存在本地
您可以随时清除本地对话历史,清除后数据不可恢复
评分和评价
已验证评分
Skill 信息
了解此 Skill 的详细信息和功能特性
其他
职场发展
文件结构
SKILL.md5.7 KB
版本历史
- 公开
- 来源于用户导入
如需详细了解相关要求,请访问帮助中心,或给我们提交反馈信息