An AI-powered concierge skill that searches, filters, and books real-world events, dining, and activities globally via natural language queries.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install outgoing-event-discovery
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install outgoing-event-discovery using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Outgoing is an AI concierge skill designed for the real world, converting open-ended natural language prompts like "where should we eat?" or "what's on near me?" into hand-picked, curated lists of real-world activities. Acting as a gateway for real-world discoveries, it helps developers and AI agents build context-aware recommendations for local events, dining, music, and excursions.
By integrating this tool, agents can access a vast catalog of global events and seamlessly route to specialized companion skills for focused tasks, such as finding kid-friendly activities or planning romantic evenings. This makes it an essential asset among the collection of Openclaw Skills for creating hyper-local, action-oriented search applications.
GET /partner/v1/search) with the compiled query parameters.To set up the Outgoing skill, you need to configure authentication with an Outgoing API key (partner scope) or use an AAuth key.
First, obtain an API key from Outgoing.
Set the following environment variable:
export OUTGOING_API_KEY="og_api_..."
You can also provision external user IDs if your agent acts on behalf of multi-user configurations:
curl -sS -G https://api.outgoing.world/partner/v1/search \
-H "Authorization: Bearer $OUTGOING_API_KEY" \
-H "X-External-User-Id: user-123" \
--data-urlencode "prompt=live jazz and a late dinner tonight" \
--data-urlencode "city=paris"
The search endpoint returns a structured JSON payload detailing recommended activities. Below is the structure mapping returned data:
| Field | Type | Description |
|---|---|---|
message |
String | A context-aware summary narrative from the AI concierge. |
activities |
Array | A collection of matching real-world events or venues. |
activities[].name |
String | The official name of the venue or event. |
activities[].short_description |
String | A brief summary describing the venue or activity. |
activities[].semantic_location |
String | Neighborhood or local landmark details. |
activities[].is_bookable |
Boolean | Flags whether direct ticket purchasing is possible. |
activities[].ticket_price |
String/Number | The starting or fixed cost associated with booking. |
activities[].picture_url |
String | URL reference to visual assets for UI rendering. |
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