A specialized integration that empowers AI agents to manage local SEO data, track reviews, and automate location-based marketing workflows.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install locoia
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 locoia using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Locoia is a robust platform engineered for businesses and marketing agencies to master their local search visibility. This skill integrates Locoia with the Membrane ecosystem, allowing developers and AI agents to programmatically manage location data, monitor customer reviews, and analyze search rankings across multiple sites. By utilizing this integration within Openclaw Skills, you can automate the complex logic of local SEO management.
The integration abstracts the difficulty of API maintenance by leveraging the Membrane CLI. This ensures that authentication, token refreshes, and endpoint connectivity are handled securely in the background, providing a clean interface for agents to interact with Locoia projects, tasks, and user data without manual credential handling.
Install the required CLI tool to begin using Openclaw Skills with Locoia:
npm install -g @membranehq/cli@latest
Authenticate your agent environment:
membrane login --tenant --clientName=openclaw
Initialize the Locoia connection:
membrane connection ensure "https://www.locoia.com/" --json
If the connection state is BUILDING, poll for completion:
membrane connection get <id> --wait --json
The Locoia skill structures information around core business and SEO entities. Data is returned in a standardized JSON format for easy consumption by AI agents.
| Object | Description |
|---|---|
| Project | Containers for organizing local SEO tasks and campaigns. |
| Task | Individual action items and workflows within a project. |
| User | Profile information for account members and collaborators. |
| Time Entry | Records of time spent on specific SEO or management tasks. |
Each action discovered via the CLI provides an inputSchema for parameter validation and an outputSchema for predictable data parsing.
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