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behavioral-modes行为模式

Agent Skill

behavioral-modes 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

722

周安装

31

GitHub Stars

公开资料未说明

下载量

253
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:behavioral-modes(行为模式)
来源仓库:https://github.com/xenitv1/claude-code-maestro
仓库路径:skills/behavioral-modes
安装命令:
npx skills add xenitv1/claude-code-maestro --skill "behavioral-modes"
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

AgentSkills.tonpx skills
npx skills add xenitv1/claude-code-maestro --skill "behavioral-modes"

简介

用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。

  • 支持基于关键词、任务场景或来源线索进行信息检索与筛选。
  • 可通过 npx skills add xenitv1/claude-code-maestro --skill "behavioral-modes" 安装使用。
  • 建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。
  • 可结合来源仓库和原始 README 进一步核验具体用法。

SKILL.md

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:

TriggerMode
"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

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

29.26%
按下载量换算74

OpenCode

23.91%
按下载量换算60

Cursor

17.21%
按下载量换算44

github-copilot

14.3%
按下载量换算36

Antigravity

7.96%
按下载量换算20

Gemini CLI

4%
按下载量换算10

安全审计

暂无安全审计结果可展示。

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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