elevenlabs-agents
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.
Best use case
elevenlabs-agents is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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.
Teams using elevenlabs-agents should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/elevenlabs-agents/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How elevenlabs-agents Compares
| Feature / Agent | elevenlabs-agents | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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.
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