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。
| 平台 | 累计安装 | 累计下载 | 星标 | 评论 |
|---|---|---|---|---|
| ClawHub ↗ | 155 | 4,300 | 2 | - |
| SkillHub ↗ | 211 | 4,549 | 2 | — |
各平台的计数口径不同,统计时间不一致。
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
以下是根据技能文档生成的示例,不代表实际运行结果。
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 |
|---|---|---|---|
| 2026-09 | 4,549 | — | 2 |
| 2026-08 | 4,306 | +1.4% | 2 |
| 2026-07 | 4,247 | — | 2 |
| 2026-05 | 3,934 | — | 2 |
| 2026-03 | 3,259 | — | 2 |
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。
---
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.
## 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.
把开发过程中的经验、错误与纠正记录为 Markdown 文件,供后续复用并晋升为工作区记忆。
用自然语言描述需求,在本地与远程技能市场里找技能并给出推荐的技能。
给 AI agent 用的浏览器自动化命令行技能。
把用户纠正与自我复盘沉淀成分层记忆、并按使用情况升降级的技能。
在安装第三方技能之前,按清单审查来源、权限与危险模式的技能。
把 agent 的记忆与跨技能状态存成带类型和约束的知识图谱的技能。
一份为 AI 代理规划主动跟进、工作记忆与复盘流程的工作区配置指南。
指导如何创建与更新有效 Claude 技能的写作指南。
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。