A comprehensive integration for the Emplifi platform that enables AI agents to automate social media management, customer care, and marketing data workflows.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install emplifi
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 emplifi 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 Emplifi?
The Emplifi skill for Openclaw Skills is designed to bridge the gap between AI coding agents and the Emplifi unified customer experience platform. It empowers marketing, commerce, and care teams to programmatically manage social media posts, track author interactions, and organize content labels. By utilizing this skill, developers can leverage high-level abstractions for complex marketing tasks without needing to build custom integration logic from scratch.
This skill is powered by the Membrane framework, which provides a secure environment for handling authentication and API communication. It eliminates the friction of manual token management, allowing Openclaw Skills to focus on executing business logic and data processing. Whether you are building an automated community management bot or a data synchronization pipeline, this integration provides the necessary tools for professional-grade marketing automation.
Emplifi Use Cases
- Automating the publication and scheduling of social media posts across various channels.
- Monitoring and replying to customer comments to improve engagement and response times.
- Categorizing and filtering social interactions using labels for advanced sentiment analysis.
- Synchronizing Emplifi author data with internal CRM systems for a unified view of the customer.
How Emplifi Works
- The AI agent utilizes the Membrane CLI to establish a secure connection with the Emplifi API.
- Authentication is initiated via a tenant-specific login, supporting both interactive and headless environments.
- The agent uses natural language intent to discover specific actions, such as querying posts or managing authors, via the action list command.
- Parameters are passed as structured JSON, and the skill handles the execution and returns the platform's response.
- For specialized requirements, the agent can use proxy requests to hit direct Emplifi endpoints while the skill automatically manages headers and auth refresh.
Emplifi Setup
To get started with this skill in your Openclaw Skills environment, first install the Membrane CLI:
npm install -g @membranehq/cli@latest
Log in and specify your agent type to optimize the tooling:
membrane login --tenant --clientName=openclaw
Connect to your Emplifi instance by ensuring a valid connection:
membrane connection ensure "https://emplifi.io/" --json
Follow the provided UI URL to complete the authentication if prompted by the connection state.
Emplifi Data Schema & Taxonomy
The Emplifi skill organizes data through a structured action system that maps directly to platform entities. Below is the primary data taxonomy:
| Entity | Data Included |
|---|---|
| Posts | Content, timestamps, platform metadata, and associated media. |
| Comments | Threaded replies, author IDs, and interaction timestamps. |
| Authors | User profiles, engagement history, and influence metrics. |
| Labels | Taxonomy tags used for organizing and filtering content within the Emplifi dashboard. |
| Actions | Metadata including inputSchema for parameters and outputSchema for result validation. |
Emplifi Advanced Features
- Natural language intent discovery to find the right API action without browsing documentation.
- Managed authentication lifecycle that handles OAuth tokens and refreshes server-side.
- Transparent API proxying for full access to the Emplifi developer ecosystem.
- Support for machine-readable JSON output across all CLI commands for easy agent parsing.
- Long-polling connection wait states for automated setup in CI/CD or headless environments.
SKILL.md
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