A powerful integration that enables AI agents to create, manage, and process PlanSo Forms data and submissions through a streamlined CLI.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install planso-forms
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 planso-forms using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
PlanSo Forms is a comprehensive web application designed for businesses and individuals to build embeddable online forms, collect feedback, and automate data-driven workflows. This skill bridges the gap between your AI agent and your form data, allowing for seamless interaction with forms, submissions, and workspaces.
By leveraging Openclaw Skills and the Membrane framework, developers can bypass the complexities of manual authentication and credential refreshing. The integration provides a high-level abstraction for form management, ensuring that your AI agents can focus on logic and data processing rather than API plumbing.
First, install the Membrane CLI to enable Openclaw Skills functionality:
npm install -g @membranehq/cli@latest
Authenticate your agent by specifying the agent type:
membrane login --tenant --clientName=openclaw
Create a connection to your PlanSo Forms account:
membrane connection ensure "https://www.planso.net/planso-forms/" --json
The skill organizes PlanSo Forms data into several core entities managed through the Membrane schema:
| Entity | Description |
|---|---|
| Form | The primary container for data collection fields and settings. |
| Submission | Individual records of data submitted by users through a form. |
| Workspace | The organizational unit where multiple forms and users are grouped. |
| User | The identity profile with access to specific workspaces or forms. |
All actions return structured JSON output, including inputSchema for validation and outputSchema for result parsing.
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