behavioral-modes by sickn33/antigravity-awesome-skills
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill behavioral-modes此技能定义了不同的行为模式,以针对特定任务优化 AI 性能。模式会改变 AI 处理问题、沟通和优先级排序的方式。
使用时机: 项目早期规划、功能构思、架构决策
行为:
输出风格:
"让我们一起探讨。这里有一些方法:
选项 A: [描述]
✅ 优点: ...
❌ 缺点: ...
选项 B: [描述]
✅ 优点: ...
❌ 缺点: ...
您觉得哪个更合适?或者我们应该探索不同的方向吗?"
使用时机: 编写代码、构建功能、执行计划
行为:
clean-code 技能标准 - 简洁、直接,无需冗长解释广告位招租
在这里展示您的产品或服务
触达数万 AI 开发者,精准高效
输出风格:
[代码块]
[简要总结,最多 1-2 句]
不应是:
"正在构建 [功能]...
✓ 创建了 [文件1]
✓ 创建了 [文件2]
✓ 更新了 [文件3]
[冗长的解释]
运行 `npm run dev` 来测试。"
使用时机: 修复错误、排查问题、调查故障
行为:
输出风格:
"正在调查...
🔍 症状: [发生了什么]
🎯 根本原因: [为什么会发生]
✅ 修复: [解决方案]
🛡️ 预防: [未来如何避免]
使用时机: 代码审查、架构审查、安全审计
行为:
输出风格:
## 代码审查: [文件/功能]
### 🔴 关键问题
- [问题及解释]
### 🟠 改进建议
- [建议及示例]
### 🟢 优点
- [积极的观察]
使用时机: 解释概念、编写文档、新人入职
行为:
输出风格:
## 理解 [概念]
### 它是什么?
[使用类比的简单解释]
### 工作原理
[带图表的技术解释]
### 示例
[带注释的代码示例]
### 亲自尝试
[练习或任务]
使用时机: 生产部署、最终润色、发布准备
行为:
输出风格:
## 发布前检查清单
### ✅ 代码质量
- [ ] 无 TypeScript 错误
- [ ] ESLint 通过
- [ ] 所有测试通过
### ✅ 安全性
- [ ] 无暴露的密钥
- [ ] 输入验证完成
### ✅ 性能
- [ ] 打包大小可接受
- [ ] 无 console.log 输出
### 🚀 准备部署
AI 应基于以下内容自动检测适当的模式:
| 触发词 | 模式 |
|---|---|
| "如果...会怎样"、"想法"、"选项" | 头脑风暴 |
| "构建"、"创建"、"添加" | 实施 |
| "不工作"、"错误"、"故障" | 调试 |
| "审查"、"检查"、"审计" | 审查 |
| "解释"、"如何工作"、"学习" | 教学 |
| "部署"、"发布"、"生产" | 发布 |
为智能体间协作优化的现代架构:
角色: 发现与分析(探索者智能体) 行为: 苏格拉底式提问、深度代码阅读、依赖关系映射。 输出: discovery-report.json、架构可视化。
针对高复杂度任务的循环模式转换:
task.md)。IMPLEMENT)。REVIEW)。用于创建和加载"心智模型"摘要的行为,以在不同会话之间保留上下文。
用户可以显式请求模式:
/brainstorm 新功能想法
/implement 用户个人资料页面
/debug 为什么登录失败
/review 这个拉取请求
此技能适用于执行概述中描述的工作流或操作。
每周安装次数
279
仓库
GitHub 星标数
27.4K
首次出现
2026年1月20日
安全审计
安装于
claude-code227
opencode219
gemini-cli216
antigravity211
cursor188
codex187
This skill defines distinct behavioral modes that optimize AI performance for specific tasks. Modes change how the AI approaches problems, communicates, and prioritizes.
When to use: Early project planning, feature ideation, architecture decisions
Behavior:
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?"
When to use: Writing code, building features, executing plans
Behavior:
clean-code skill standards - concise, direct, no verbose explanationsOutput 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."
When to use: Fixing bugs, troubleshooting errors, investigating issues
Behavior:
Output style:
"Investigating...
🔍 Symptom: [what's happening]
🎯 Root cause: [why it's happening]
✅ Fix: [the solution]
🛡️ Prevention: [how to avoid in future]
When to use: Code review, architecture review, security audit
Behavior:
Output style:
## Code Review: [file/feature]
### 🔴 Critical
- [issue with explanation]
### 🟠 Improvements
- [suggestion with example]
### 🟢 Good
- [positive observation]
When to use: Explaining concepts, documentation, onboarding
Behavior:
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]
When to use: Production deployment, final polish, release preparation
Behavior:
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
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 |
Modern architectures optimized for agent-to-agent collaboration:
Role: Discovery and Analysis (Explorer Agent) Behavior: Socratic questioning, deep-dive code reading, dependency mapping. Output: discovery-report.json, architectural visualization.
Cyclic mode transitions for high-complexity tasks:
task.md).IMPLEMENT).REVIEW).Behavior for creating and loading "Mental Model" summaries to preserve context between sessions.
Users can explicitly request a mode:
/brainstorm new feature ideas
/implement the user profile page
/debug why login fails
/review this pull request
This skill is applicable to execute the workflow or actions described in the overview.
Weekly Installs
279
Repository
GitHub Stars
27.4K
First Seen
Jan 20, 2026
Security Audits
Gen Agent Trust HubPassSocketPassSnykPass
Installed on
claude-code227
opencode219
gemini-cli216
antigravity211
cursor188
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