據 AlphaMoat 統計,截至 2026-09,Agent Zero Bridge 累計下載 4,165 次、獲 4 個星標,在全部 5,078 個 AI 技能中排名第 2,412 位,在「AI 智慧體」分類(969 個)中排名第 472 位。
| 平台 | 累計安裝 | 累計下載 | 星標 | 評論 |
|---|---|---|---|---|
| ClawHub ↗ | 134 | 4122 | 4 | 2 |
| SkillHub ↗ | 132 | 4165 | 4 | — |
各平台的計數口徑不同,統計時間不一致。
該橋接支援委派長時間執行的開發或研究任務、拆分任務、附加檔案,並從 Agent Zero 回傳進度或呼叫 Clawdbot 工具。
資料釋出於 2026-10-29
以下是根據技能文件生成的示例,不代表實際執行結果。
2026-09 起統計方法調整:同名技能按作者分別統計,並覆蓋全部技能。圖中虛線為調整前的月份,與之後的資料不直接比較,也不計算跨越調整的增長。
| 月份 | 累計下載 | 環比 | 星標 |
|---|---|---|---|
| 2026-09 | 4165 | — | 4 |
| 2026-08 | 3983 | +3.9% | 4 |
| 2026-07 | 3833 | — | 4 |
| 2026-05 | 3367 | — | 4 |
以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 2026-10-23。
--- name: agent-zero-bridge description: Delegate complex coding, research, or autonomous tasks to Agent Zero framework. Use when user says "ask Agent Zero", "delegate to A0", "have Agent Zero build", or needs long-running autonomous coding with self-correction loops. Supports bidirectional communication, file attachments, task breakdown, and progress reporting. --- # Agent Zero Bridge Bidirectional communication between Clawdbot and [Agent Zero](https://github.com/frdel/agent-zero). ## When to Use
- Complex coding tasks requiring iteration/self-correction
- Long-running builds, tests, or infrastructure work
- Tasks needing persistent Docker execution environment
- Research with many sequential tool calls
- User explicitly asks for Agent Zero
## Setup (First Time Only)
### 1. Prerequisites
- Node.js 18+ (for built-in fetch)
- Agent Zero running (Docker recommended, port 50001)
- Clawdbot Gateway with HTTP endpoints enabled
### 2. Install
```bash
# Copy skill to Clawdbot skills directory
cp -r <this-skill-folder> ~/.clawdbot/skills/agent-zero-bridge
# Create config from template
cd ~/.clawdbot/skills/agent-zero-bridge
cp .env.example .env
```
### 3. Configure .env
```env
# Agent Zero (get token from A0 settings or calculate from runtime ID)
A0_API_URL=http://127.0.0.1:50001
A0_API_KEY=your_agent_zero_token
# Clawdbot Gateway
CLAWDBOT_API_URL=http://127.0.0.1:18789
CLAWDBOT_API_TOKEN=your_gateway_token
# For Docker containers reaching host (use your machine's LAN IP)
CLAWDBOT_API_URL_DOCKER=http://192.168.1.x:18789
```
### 4. Get Agent Zero Token
```python
# Calculate from A0's runtime ID
import hashlib, base64
runtime_id = "your_A0_PERSISTENT_RUNTIME_ID" # from A0's .env
hash_bytes = hashlib.sha256(f"{runtime_id}::".encode()).digest()
token = base64.urlsafe_b64encode(hash_bytes).decode().replace("=", "")[:16]
print(token)
```
### 5. Enable Clawdbot Gateway Endpoints
Add to `~/.clawdbot/clawdbot.json`:
```json
{
"gateway": {
"bind": "0.0.0.0",
"auth": { "mode": "token", "token": "your_token" },
"http": { "endpoints": { "chatCompletions": { "enabled": true } } }
}
}
```
Then: `clawdbot gateway restart`
### 6. Deploy Client to Agent Zero Container
```bash
docker exec <container> mkdir -p /a0/bridge/lib
docker cp scripts/lib/. <container>:/a0/bridge/lib/
docker cp scripts/clawdbot_client.js <container>:/a0/bridge/
docker cp .env <container>:/a0/bridge/
docker exec <container> sh -c 'echo "DOCKER_CONTAINER=true" >> /a0/bridge/.env'
```
## Usage
### Send Task to Agent Zero
```bash
node scripts/a0_client.js "Build a REST API with JWT authentication"
node scripts/a0_client.js "Review this code" --attach ./file.py
node scripts/a0_client.js "New task" --new # Start fresh conversation
```
### Check Status
```bash
node scripts/a0_client.js status
node scripts/a0_client.js history
node scripts/a0_client.js reset # Clear conversation
```
### Task Breakdown (Creates Tracked Project)
```bash
node scripts/task_breakdown.js "Build e-commerce platform"
# Creates notebook/tasks/projects/<name>.md with checkable steps
```
### From Agent Zero → Clawdbot
Inside A0 container:
```bash
# Report progress
node /a0/bridge/clawdbot_client.js notify "Working on step 3..."
# Ask for input
node /a0/bridge/clawdbot_client.js "Should I use PostgreSQL or SQLite?"
# Invoke Clawdbot tool
node /a0/bridge/clawdbot_client.js tool web_search '{"query":"Node.js best practices"}'
```
## Troubleshooting
| Error | Fix |
|-------|-----|
| 401 / API key error | Check A0_API_KEY matches Agent Zero's mcp_server_token |
| Connection refused from Docker | Use host LAN IP in CLAWDBOT_API_URL_DOCKER, ensure gateway binds 0.0.0.0 |
| A0 500 errors | Check Agent Zero's LLM API key (Gemini/OpenAI) is valid |
將開發過程中的經驗、錯誤與修正記錄為 Markdown 檔案,供日後重用並提升為工作區記憶。
用自然語言描述需求,在本機與遠端技能市場尋找技能並取得推薦。
給 AI agent 用的瀏覽器自動化命令列技能。
將使用者明確糾正與自我檢視整理成分層記憶,並依使用情況升級或封存。
在安裝第三方技能之前,按清單審查來源、許可權與危險模式的技能。
將代理記憶與跨技能狀態整理成具型別與約束的知識圖譜。
規劃 AI 代理主動跟進、工作記憶與回顧流程的工作區設定指南。
指導如何建立與更新有效 Claude 技能的寫作指南。
資料月份:2026-09 · 下載/星標/安裝數聚合自公開技能註冊庫(ClawHub、SkillHub),按月更新。口徑說明見資料方法。