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。
| 平台 | 累計安裝 | 累計下載 | 星標 | 評論 |
|---|---|---|---|---|
| ClawHub ↗ | 155 | 4300 | 2 | - |
| SkillHub ↗ | 211 | 4549 | 2 | — |
各平台的計數口徑不同,統計時間不一致。
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
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 | 4549 | — | 2 |
| 2026-08 | 4306 | +1.4% | 2 |
| 2026-07 | 4247 | — | 2 |
| 2026-05 | 3934 | — | 2 |
| 2026-03 | 3259 | — | 2 |
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: 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.
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。