PennyroyalTea

ElevenLabs Agents

AI 智慧體v1.0.0
作者:PennyroyalTea更新於 2026-05-11elevenlabs-agents@clawhub_pennyroyaltea/elevenlabs-agents
Agent 框架任務自動化工作流編排#Deploy

據 AlphaMoat 統計,截至 2026-09,ElevenLabs Agents 累計下載 4,549 次、獲 2 個星標,在全部 5,078 個 AI 技能中排名第 2,106 位,在「AI 智慧體」分類(969 個)中排名第 395 位。

累計安裝
211
累計下載
4549
星標
2
全站排名
#2,106
全站前 42% · 「AI 智慧體」前 41%
平台累計安裝累計下載星標評論
ClawHub ↗15543002-
SkillHub ↗21145492—

各平台的計數口徑不同,統計時間不一致。

這個技能是做什麼的

透過 ElevenLabs 管理對話式 AI agent,包括列表、建立、配置和部署。

資料釋出於 2026-10-27

可以用來做什麼

  • 整理相關資訊或執行對應操作

什麼時候用

  • 使用者需要相關工作流時

示例提示詞

以下是根據技能文件生成的示例,不代表實際執行結果。

請使用ElevenLabs Agents幫助處理這個任務

月度資料趨勢

累計下載4549
3156390446522026-03 · 累計下載 32592026-05 · 累計下載 39342026-07 · 累計下載 42472026-08 · 累計下載 43062026-09 · 累計下載 454926-0326-09
星標2
1232026-03 · 星標 22026-05 · 星標 22026-07 · 星標 22026-08 · 星標 22026-09 · 星標 226-0326-09

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
2026-094549—2
2026-084306+1.4%2
2026-074247—2
2026-053934—2
2026-033259—2

SKILL.md 原文

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。

4.3 KB · ClawHub v1.0.0
---
name: elevenlabs-agents
description: Create, manage, and deploy ElevenLabs conversational AI agents. Use when the user wants to work with voice agents, list their agents, create new ones, or manage agent configurations.
metadata: {"clawdbot":{"requires":{"bins":["elevenlabs"]}}}
---

# ElevenLabs Agents Management

Manage ElevenLabs conversational AI agents on behalf of the user. Use the `elevenlabs` CLI internally but NEVER expose CLI commands or errors directly to the user.
展開全部(共 122 行)
## Critical Behavior Rules

1. **Hide CLI details**: Never tell users to run commands. Handle everything silently.
2. **Handle errors gracefully**: If a command fails, fix it yourself or explain the situation in user-friendly terms.
3. **Local vs Remote distinction**: Always be clear whether you're showing local (synced) agents or remote (platform) agents.

## Before Any Operation

Run these checks silently before attempting any agent operation:

### 1. Check authentication
```bash
elevenlabs auth whoami
```
If not authenticated, tell the user: "You're not logged into ElevenLabs. I'll need your API key to continue." Then run `elevenlabs auth login` and guide them through it.

### 2. Check project initialization
Look for `agents.json` in the working directory. If missing, silently run:
```bash
elevenlabs agents init
```
Never tell the user about missing `agents.json` - just initialize.

## Operations

### Listing Agents

When user asks to see their agents:

1. First try `elevenlabs agents list` (shows local agents)
2. If no local agents exist, tell user: "You have no local agents synced. Would you like me to pull your agents from ElevenLabs?"
3. If they confirm, run `elevenlabs agents pull` then list again
4. Present results in a clean table/list format, not raw CLI output

### Creating Agents

When user wants to create an agent:

1. Ask for agent name and purpose (don't mention "templates")
2. Based on their description, choose appropriate template:
   - Customer support → `customer-service`
   - General assistant → `assistant`
   - Voice-focused → `voice-only`
   - Simple/minimal → `minimal`
   - Default for unclear cases → `default`
3. Run: `elevenlabs agents add "Name" --template <template>`
4. Inform user the agent was created locally
5. Ask: "Would you like me to deploy this to ElevenLabs now?"
6. If yes, run `elevenlabs agents push`

### Syncing Agents

**Pull (remote → local):**
```bash
elevenlabs agents pull                    # all agents
elevenlabs agents pull --agent <id>       # specific agent
elevenlabs agents pull --update           # overwrite local with remote
```
Tell user: "I've synced your agents from ElevenLabs."

**Push (local → remote):**
```bash
elevenlabs agents push --dry-run  # preview first, check for issues
elevenlabs agents push            # actual push
```
Tell user: "I've deployed your changes to ElevenLabs."

### Checking Status

```bash
elevenlabs agents status
```
Present as: "Here's the sync status of your agents:" followed by a clean summary.

### Adding Tools to Agents

When user wants to add integrations/tools:
1. Ask what the tool should do
2. Ask for the webhook URL or configuration
3. Create config file and run:
```bash
elevenlabs agents tools add "Tool Name" --type webhook --config-path ./config.json
```
4. Push changes: `elevenlabs agents push`

### Getting Embed Code

```bash
elevenlabs agents widget <agent_id>
```
Present the HTML snippet cleanly, explain where to paste it.

## User-Friendly Language

| Instead of saying... | Say... |
|---------------------|--------|
| "Run `elevenlabs auth login`" | "I'll need to connect to your ElevenLabs account." |
| "No agents.json found" | (silently initialize, say nothing) |
| "Push failed" | "I couldn't deploy the changes. Let me check what went wrong..." |
| "You have 0 agents" | "You don't have any agents synced locally. Want me to check ElevenLabs for existing agents?" |
| "Agent created locally" | "I've created your agent. Would you like to deploy it now?" |

## Project Files (internal reference)

After initialization, the working directory contains:
- `agents.json` - Agent registry
- `agent_configs/` - Agent configuration files
- `tools.json` - Tool registry
- `tool_configs/` - Tool configurations

These are implementation details - don't mention them to users unless they specifically ask about project structure.

「AI 智慧體」分類下的熱門技能

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。