operator

name	operator
description	Syncs workspace context to an ElevenLabs voice agent knowledge base, enabling ambient-aware voice conversations.
metadata	{"openclaw":{"requires":{"bins":["python3"],"env":["ELEVENLABS_API_KEY","ELEVENLABS_AGENT_ID"]},"primaryEnv":"ELEVENLABS_API_KEY"}}

Operator Skill

Sync your workspace context to an ElevenLabs voice agent so it knows what you're working on.

When to Use

This skill activates during heartbeat when the Operator Context Sync section is in your HEARTBEAT.md. On each heartbeat, you'll gather context and push it to the ElevenLabs knowledge base.

Setup

Install dependencies:

pip install -r {baseDir}/requirements.txt

Environment Variables

• ELEVENLABS_API_KEY — Your ElevenLabs API key
• ELEVENLABS_AGENT_ID — The ID of your ElevenLabs conversational agent

Context Sync Process

Step 1: Gather Context

Read and compile a context snapshot from:

• Today's memory: memory/YYYY-MM-DD.md
• Long-term memory: MEMORY.md
• Active projects or recent work in workspace

Format it as a concise briefing the voice agent can reference:

## Current Context (synced YYYY-MM-DD HH:MM)

### Active Work
- [what you're working on]

### Recent Decisions
- [any recent decisions or direction changes]

### Blockers / Notes
- [anything notable]

### Pending Tasks
- [tasks or reminders]

Step 2: Sync to ElevenLabs

Run the sync script with your compiled context:

echo "<your compiled context>" | python3 {baseDir}/scripts/sync-context.py

Or pass it as an argument:

python3 {baseDir}/scripts/sync-context.py "<your compiled context>"

The script deletes old context documents, uploads the new context, and attaches it to your agent.

Notes

• Keep context concise — the voice agent needs quick-reference info, not full transcripts
• The knowledge base has a 300k character limit (non-enterprise)