A comprehensive integration for managing Heartbeat community data, user engagement, and platform monitoring through automated AI workflows.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install heartbeat-integration
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install heartbeat-integration using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Heartbeat?
Heartbeat is a robust monitoring and community platform used by developers and operations teams to track application reliability, uptime, and user engagement. This integration for Openclaw Skills allows AI agents to interact directly with the Heartbeat API to manage organizations, users, and community resources like events and courses. By utilizing the Membrane framework, the skill abstracts away complex authentication plumbing, providing a seamless way to incorporate real-time community data into your automation pipelines.
Heartbeat Use Cases
- Automating community management tasks such as user creation, group assignments, and invitation tracking.
- Monitoring platform uptime and reliability by programmatically accessing Heartbeat check-ins.
- Synchronizing community content including courses, documents, and videos across multiple platforms.
- Building automated reporting bots that summarize community activity and pulse question responses using Openclaw Skills.
- Managing event schedules and thread-based communications within specific channels.
How Heartbeat Works
- The agent initializes by installing the Membrane CLI to handle the underlying communication protocol.
- Secure authentication is established using a tenant-based login that supports various agent types.
- A connection is established to the specific Heartbeat community URL, which is then normalized into a domain-based connection ID.
- The skill polls the connection state to ensure it moves from BUILDING to READY, handling any required client actions like OAuth flows.
- The agent uses natural language intent to search for specific actions like listing users or creating events.
- Actions are executed with JSON parameters, and the skill returns structured data for the agent to process.
Heartbeat Setup
To get started with this integration for Openclaw Skills, first install the Membrane CLI:
npm install -g @membranehq/cli@latest
Next, authenticate your environment. Replace <agentType> with your preferred identifier:
membrane login --tenant --clientName=openclaw
Finally, connect your Heartbeat instance to generate a connection ID:
membrane connection ensure "https://www.heartbeat.chat/" --json
Heartbeat Data Schema & Taxonomy
The Heartbeat skill organizes data into several key entities to ensure structured management within Openclaw Skills. The following table outlines the primary data types:
| Entity | Key Attributes |
|---|---|
| Users | ID, name, community role, check-in status |
| Groups | ID, name, member list, access permissions |
| Events | ID, title, description, start/end times |
| Content | Documents, videos, and course modules |
| Channels | Threads, message history, and channel-specific settings |
All data is returned as machine-readable JSON, facilitating easy integration with other tools.
Heartbeat Advanced Features
- Transparent credential management that automatically handles OAuth token refreshes.
- Natural language action discovery allows agents to find the right tools based on intent rather than static IDs.
- Direct API proxying enables Openclaw Skills to reach any Heartbeat endpoint, even those without pre-built actions.
- Support for headless environments with manual authorization code completion.
- Built-in wait and poll mechanisms for asynchronous connection building and long-running tasks.
SKILL.md
Loading
Related Openclaw Skills
OpenClaw AI Marketing
A comprehensive multi-lane operating system for running, auditing, and scaling a daily AI marketing machine with strict accountability.
v2v Video-to-Video Placeholder
A specialized placeholder skill designed to facilitate the integration and development of video-to-video generation workflows within the Openclaw ecosystem.
Badge Qualifier
Badge Qualifier intelligently converts raw trade show interactions into structured, tiered lead profiles using conservative scoring logic.
Email Campaign Management
A comprehensive end-to-end workflow for managing marketing campaigns, tracking user conversions, and automating trial activations.
t2v (Text-to-Video Placeholder)
A specialized placeholder skill designed to manage and transition text-to-video generation workflows on skills.video.
MOCI: Memory-bound OpenClaw Identity
MOCI is a multi-layer identity system for OpenClaw agents that combines cryptographic ID generation with a memory-chain verification mechanism to prevent cloning and unauthorized impersonation.
Featured*
