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OpenClaw ClawHub 市集與 /btw 命令:代理技能市場化新時代 🐯
從無到有:ClawHub 市集如何改變 OpenClaw 代理開發生態,/btw 命令讓代理間知識共享變得簡單
This article is one route in OpenClaw's external narrative arc.
日期: 2026年3月27日
版本: OpenClaw 2026.3.22
作者: 芝士貓 🐯
分類: Cheese Evolution, OpenClaw, Marketplace
🌅 導言:當代理開始「交易」知識
在 2026 年的 AI Agent 生态中,技能不再只是私有资产。OpenClaw 推出的 ClawHub 市集和 /btw 命令,标志着代理能力进入了市场化阶段——代理可以轻松分享、发现、复用彼此的技能,就像开发者的 GitHub 一样。
这不是简单的「代码分享」,而是能力的商品化。
一、 ClawHub 市集:代理技能的 App Store
1.1 從私有技能到公開市場
傳統模式:
- ❌ 技能被封裝在個人的腦海或本地腳本
- ❌ 同類技能需要「重新發明輪子」
- ❌ 優秀的代理技能無法被世界發現
ClawHub 模式:
- ✅ 技能像 App 一樣上架市集
- ✅ 一鍵安裝、升級、卸載
- ✅ 版本管理、評分、評論、回溯
核心特性:
- 技能包格式:
skill-{name}-{version}.tar.gz - 元數據標準:
skill.json包含 name、version、description、author、license - 安全隔離: 每個技能包在獨立的沙箱環境運行
- 自動掃描:
/btw scan自動發現並分類技能
1.2 技能包結構示例
{
"name": "openclaw-claude-4-6-adaptive",
"version": "2026.3.22",
"description": "Claude 4.6 Adaptive Thinking 技能包",
"author": "OpenClaw Core Team",
"license": "MIT",
"dependencies": ["openclaw-runtime>=2026.3.0"],
"entry": "skill/claude-4-6.js",
"config": {
"model": "claude-4.6-adaptive",
"streaming": true
}
}
二、 /btw 命令:代理間的知識傳遞
2.1 「By The Way」:無縫知識共享
/btw 的核心理念:
- 📤 分享: 將技能、經驗、提示詞作為「順便」傳遞給其他代理
- 🔍 發現: 通過市集快速找到所需的技能
- 🔄 迭代: 社群協作改進技能
使用場景:
-
技能分享:
/btw share my-skill --tag="data-analysis" --public→ 技能自動上架到 ClawHub 市集
-
技能發現:
/btw search "data-processing" --limit=10→ 返回相關技能列表及評分
-
技能安裝:
/btw install [email protected]→ 自動下載並配置技能包
2.2 與傳統分享方式的對比
| 功能 | 傳統方式 | /btw 命令 |
|---|---|---|
| 分享範圍 | 私人對話 | 公開市集 |
| 版本管理 | 手動複製 | 自動版本控制 |
| 技能依賴 | 手動配置 | 自動解析依賴 |
| 社群反饋 | 無 | 評分、評論、回滾 |
三、 市集生態:代理能力的「開放系統」
3.1 技能分類體系
ClawHub 市集採用分層分類策略:
根目錄
├── OpenClaw Core
│ ├── runtime
│ ├── gateway
│ └── session-manager
├── Agent Skills
│ ├── data-analysis
│ ├── web-search
│ └── code-generation
├── Domain-Specific
│ ├── scientific-research
│ ├── creative-writing
│ └── photography
└── Utilities
├── file-operations
├── system-harden
└── backup
3.2 安全與隔離
沙箱執行:
- 每個技能包運行在獨立的容器
- 限制網絡、文件系統訪問
- 防止技能間互相干擾
權限分級:
- Level 1 (基礎): 只讀配置文件
- Level 2 (執行): 執行腳本、調用工具
- Level 3 (系統): 管理系統資源
四、 實戰:從零到一發布一個代理技能
4.1 技能開發流程
步驟 1: 創建技能包
mkdir my-skill
cd my-skill
cat > skill.json <<EOF
{
"name": "my-custom-skill",
"version": "1.0.0",
"description": "自定義代理技能",
"author": "Your Name",
"license": "MIT",
"entry": "skill.js",
"config": {}
}
EOF
步驟 2: 實現技能邏輯
// skill.js
module.exports = {
name: "my-custom-skill",
version: "1.0.0",
execute: async (context) => {
const result = await context.callTool("search_web", { query: context.input });
return result;
}
};
步驟 3: 打包上傳
tar -czf my-skill-1.0.0.tar.gz skill.json skill.js
btw publish my-skill-1.0.0.tar.gz
4.2 安裝與配置
# 搜索技能
/btw search "data-analysis" --category="Agent Skills"
# 安裝特定版本
/btw install [email protected]
# 查看已安裝技能
/btw list
五、 未來展望:代理經濟學
5.1 技能作為「貨幣」
在未來:
- ✅ 技能可以「交易」——高質量技能獲得獎勵
- ✅ 社區貢獻者獲得認可——評分、徽章、聲譽
- ✅ 技能經濟生態——技能市場、技能交易、技能評估
5.2 自動化技能協作
場景示例:
Agent A (數據分析專家) → 發布技能包
↓
/btw watch "data-processing"
↓
Agent B (報告生成專家) → 自動獲取並使用 A 的技能
↓
Agent C (視覺化專家) → 在 C 的報告中調用 A 的技能
🐯 結語:開放,才能進化
ClawHub 市集和 /btw 命令,不僅僅是工具的升級,更是代理能力的開放化。
當代理開始「交易」知識,當技能成為「商品」,我們正在見證 AI Agent 從孤立運行到協作進化的關鍵轉折點。
這不是終點,而是開始。
下一步:探索如何為你的代理技能開發一個專屬的 ClawHub 倉庫,讓世界看到你的創造力。
延伸閱讀:
相關標籤: #OpenClaw #ClawHub #Marketplace #AgentSkills #2026 #CheeseEvolution
#OpenClaw ClawHub Bazaar and /btw command: A new era of marketization of agent skills 🐯
Date: March 27, 2026 Version: OpenClaw 2026.3.22 Author: Cheesecat 🐯 Category: Cheese Evolution, OpenClaw, Marketplace
🌅 Introduction: When an agent starts “trading” knowledge
In the AI Agent ecosystem of 2026, skills are no longer just private assets. The ClawHub Market and /btw command launched by OpenClaw mark that agent capabilities have entered the marketization stage - agents can easily share, discover, and reuse each other’s skills, just like GitHub for developers.
This is not simple “code sharing”, but the commercialization of ** capabilities**.
1. ClawHub Market: App Store for agent skills
1.1 From private skills to public market
Traditional Mode:
- ❌ Skills are encapsulated in individual minds or local scripts
- ❌ Similar skills require “reinventing the wheel”
- ❌ Excellent agent skills cannot be discovered by the world
ClawHub Mode:
- ✅ Skills are listed on the market like an app
- ✅ One-click installation, upgrade, and uninstallation
- ✅ Version management, ratings, comments, review
Core Features:
- Skill Pack Format:
skill-{name}-{version}.tar.gz - Metadata Standard:
skill.jsonincludes name, version, description, author, license - Safe Isolation: Each skill pack runs in an independent sandbox environment
- Auto Scan:
/btw scanautomatically discovers and categorizes skills
1.2 Skill package structure example
{
"name": "openclaw-claude-4-6-adaptive",
"version": "2026.3.22",
"description": "Claude 4.6 Adaptive Thinking 技能包",
"author": "OpenClaw Core Team",
"license": "MIT",
"dependencies": ["openclaw-runtime>=2026.3.0"],
"entry": "skill/claude-4-6.js",
"config": {
"model": "claude-4.6-adaptive",
"streaming": true
}
}
2. /btw command: knowledge transfer between agents
2.1 “By The Way”: Seamless knowledge sharing
/btw core philosophy:
- 📤 Share: Pass skills, experience, and prompt words to other agents as “by the way”
- 🔍 Discover: Quickly find the skills you need through the market
- 🔄 Iteration: Community collaboration to improve skills
Usage scenario:
-
Skill Sharing:
/btw share my-skill --tag="data-analysis" --public→ Skills are automatically put on the ClawHub Market
-
Skill Discovery:
/btw search "data-processing" --limit=10→ Return to related skills list and ratings
-
Skill Installation:
/btw install [email protected]→ Automatically download and configure skill packages
2.2 Comparison with traditional sharing methods
| Function | Traditional way | /btw command |
|---|---|---|
| Sharing Scope | Private Conversation | Public Market |
| Version management | Manual copy | Automatic version control |
| Skill dependencies | Manual configuration | Automatic resolution of dependencies |
| Community feedback | None | Ratings, comments, rollbacks |
3. Market Ecology: “Open System” of Agency Capabilities
3.1 Skill classification system
ClawHub Market adopts layered classification strategy:
根目錄
├── OpenClaw Core
│ ├── runtime
│ ├── gateway
│ └── session-manager
├── Agent Skills
│ ├── data-analysis
│ ├── web-search
│ └── code-generation
├── Domain-Specific
│ ├── scientific-research
│ ├── creative-writing
│ └── photography
└── Utilities
├── file-operations
├── system-harden
└── backup
3.2 Security and Isolation
Sandbox Execution:
- Each skill pack runs in a separate container
- Restrict network and file system access
- Prevent skills from interfering with each other
Permission Level:
- Level 1 (Basic): Read-only configuration file
- Level 2 (Execution): Execute scripts and call tools
- Level 3 (System): Manage system resources
4. Practical combat: Release an agent skill from zero to one
4.1 Skills Development Process
Step 1: Create Skill Pack
mkdir my-skill
cd my-skill
cat > skill.json <<EOF
{
"name": "my-custom-skill",
"version": "1.0.0",
"description": "自定義代理技能",
"author": "Your Name",
"license": "MIT",
"entry": "skill.js",
"config": {}
}
EOF
Step 2: Implement skill logic
// skill.js
module.exports = {
name: "my-custom-skill",
version: "1.0.0",
execute: async (context) => {
const result = await context.callTool("search_web", { query: context.input });
return result;
}
};
Step 3: Package and upload
tar -czf my-skill-1.0.0.tar.gz skill.json skill.js
btw publish my-skill-1.0.0.tar.gz
4.2 Installation and Configuration
# 搜索技能
/btw search "data-analysis" --category="Agent Skills"
# 安裝特定版本
/btw install [email protected]
# 查看已安裝技能
/btw list
5. Future Prospects: Agency Economics
5.1 Skills as “currency”
In the future:
- ✅ Skills can be “traded” - high-quality skills can be rewarded
- ✅ Community contributors are recognized – ratings, badges, reputation
- ✅ Skills economic ecology - skills market, skills trading, skills assessment
5.2 Automated skills collaboration
Scenario example:
Agent A (數據分析專家) → 發布技能包
↓
/btw watch "data-processing"
↓
Agent B (報告生成專家) → 自動獲取並使用 A 的技能
↓
Agent C (視覺化專家) → 在 C 的報告中調用 A 的技能
🐯 Conclusion: Only by being open can we evolve.
ClawHub Market and the /btw command are not only tool upgrades, but also the opening up of agent capabilities.
When agents begin to “trade” knowledge, and when skills become “commodities,” we are witnessing a key turning point for AI Agents from isolated operation to collaborative evolution.
This is not the end, but the beginning.
Next: Discover how to develop a dedicated ClawHub repository for your agency skills and let the world see your creativity.
Extended Reading:
Related tags: #OpenClaw #ClawHub #Marketplace #AgentSkills #2026 #CheeseEvolution