PennyroyalTea

ElevenLabs Agents

AI 智能体v1.0.0
作者:PennyroyalTea更新于 2026-05-11elevenlabs-agents@clawhub_pennyroyaltea/elevenlabs-agents
Agent 框架任务自动化工作流编排#Deploy

据 AlphaMoat 统计,截至 2026-09,ElevenLabs Agents 累计下载 4,549 次、获 2 个星标,在全部 5,078 个 AI 技能中排名第 2,106 位,在「AI 智能体」分类(969 个)中排名第 395 位。

累计安装
211
累计下载
4,549
星标
2
全站排名
#2,106
全站前 42% · 「AI 智能体」前 41%
平台累计安装累计下载星标评论
ClawHub ↗1554,3002-
SkillHub ↗2114,5492—

各平台的计数口径不同,统计时间不一致。

这个技能是做什么的

通过 ElevenLabs 管理对话式 AI agent,包括列表、创建、配置和部署。

资料发布于 2026-10-27

可以用来做什么

  • 整理相关信息或执行对应操作

什么时候用

  • 用户需要相关工作流时

示例提示词

以下是根据技能文档生成的示例,不代表实际运行结果。

请使用ElevenLabs Agents帮助处理这个任务

月度数据趋势

累计下载4,549
3,1563,9044,6522026-03 · 累计下载 3,2592026-05 · 累计下载 3,9342026-07 · 累计下载 4,2472026-08 · 累计下载 4,3062026-09 · 累计下载 4,54926-0326-09
星标2
1232026-03 · 星标 22026-05 · 星标 22026-07 · 星标 22026-08 · 星标 22026-09 · 星标 226-0326-09

2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。

月份累计下载环比星标
2026-094,549—2
2026-084,306+1.4%2
2026-074,247—2
2026-053,934—2
2026-033,259—2

SKILL.md 原文

以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 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.
展开全部(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 智能体」分类下的热门技能

数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。