An automated integration for Retrium that enables Agile teams to manage retrospectives, participants, and meeting data through the Membrane framework.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install retrium
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 retrium 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 Retrium Integration Skill?
The Retrium skill for Openclaw Skills empowers Agile development teams, Scrum Masters, and project managers to streamline their continuous improvement workflows. By leveraging the Membrane CLI, this skill provides a robust interface to interact with Retrium's meeting structures, including participants, sections, and cards, without the complexity of manual authentication.
Built to enhance the capabilities of Openclaw Skills, this integration handles the heavy lifting of credential management and API communication. It allows AI agents to programmatically run retrospectives, query organizational data, and maintain a high level of security by managing sensitive tokens server-side through the Membrane ecosystem.
Retrium Integration Skill Use Cases
- Automating the setup of weekly Agile retrospectives and inviting relevant team members.
- Extracting and summarizing meeting cards and action items into external project management tools.
- Managing organization members and participant lists across multiple Retrium teams.
- Performing bulk updates or data exports from Retrium for long-term continuous improvement analysis.
- Interacting with Retrium data via natural language prompts through an AI agent harness.
How Retrium Integration Skill Works
- The Openclaw Skills agent initializes the Membrane CLI and authenticates the user's tenant to establish a secure session.
- A connection to the Retrium domain is ensured, triggering a handled OAuth flow if a valid connection does not already exist.
- The agent polls the connection status until it reaches a READY state, ensuring all authentication handshakes are complete.
- Available actions are discovered using natural language intent searches to find the most efficient way to interact with Retrium's API.
- The agent executes specific actions (like creating a meeting or fetching cards) or falls back to a managed proxy request for custom API endpoints.
Retrium Integration Skill Setup
First, install the Membrane CLI globally to enable Openclaw Skills to communicate with the Retrium connector:
npm install -g @membranehq/cli@latest
Next, authenticate your agent (replace <agentType> with openclaw):
membrane login --tenant --clientName=openclaw
Create the connection to your Retrium instance:
membrane connection ensure "https://retrium.com" --json
Verify the connection status to ensure it is READY before proceeding with actions.
Retrium Integration Skill Data Schema & Taxonomy
The Retrium skill organizes data around the following hierarchy and metadata taxonomy:
| Entity | Description |
|---|---|
| Organization | The top-level container representing the company or division. |
| Meeting | Individual retrospective sessions containing sections and participants. |
| Sections | Categorized areas within a meeting (e.g., 'What went well', 'What didn't'). |
| Cards | Specific feedback items or notes created by participants within sections. |
| Members | User entities belonging to the organization or specific meetings. |
Retrium Integration Skill Advanced Features
- Natural Language Action Discovery: Use the
--intentflag to find specific Retrium functions without knowing the API documentation. - Managed Proxy Requests: Send custom HTTP requests to Retrium endpoints with automatic header injection and credential refresh.
- Headless Authentication: Support for server-side or CLI-only environments via manual code completion.
- Long-polling Connection Management: Built-in
--waitfunctionality for asynchronous connection building and automated error handling. - Pre-built Action Optimization: Access optimized wrappers for pagination and complex field mapping to save token usage.
SKILL.md
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