A gamification platform skill that enables AI agents to manage employee engagement, challenges, and rewards via the Pointagram API.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install pointagram
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 pointagram 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 Pointagram?
The Pointagram skill for Openclaw Skills allows AI agents to interact directly with the Pointagram gamification ecosystem. This platform is designed to increase employee motivation by transforming business goals into engaging challenges, awarding points, and fostering healthy competition within teams.
By utilizing this skill, developers can automate the management of organizations and users without the overhead of manual API integration. It leverages the Membrane framework to handle complex authentication flows and credential refreshes, ensuring that your AI agent remains focused on the gamification logic rather than infrastructure plumbing.
Pointagram Use Cases
- Automating the creation of new employee challenges and competitions.
- Awarding points or voting in polls based on real-time business triggers.
- Managing user profiles and organizational hierarchies within Pointagram.
- Tracking and reporting on employee progress and leaderboard standings automatically.
How Pointagram Works
- The AI agent authenticates via the Membrane CLI using a specific agent type context.
- A secure connection is established to the Pointagram connector using OAuth-based flows.
- The agent searches for specific actions (like voting or listing users) using natural language intent discovery.
- If a required action doesn't exist, the system dynamically builds the necessary API logic.
- Actions are executed with JSON inputs, and results are returned to the agent for further processing.
Pointagram Setup
First, install the Membrane CLI globally:
npm install -g @membranehq/cli@latest
Login and specify your agent environment:
membrane login --tenant --clientName=openclaw
Create a connection to the Pointagram service:
membrane connect --connectorKey pointagram
Pointagram Data Schema & Taxonomy
The skill manages data across several key entities. All interactions return structured JSON for seamless AI consumption.
| Entity | Description |
|---|---|
| User | Represents an employee or manager within the Pointagram organization. |
| Poll | A gamified voting structure used to gather feedback or engagement. |
| Vote | Individual entries associated with specific polls. |
| Action | Metadata including id, name, inputSchema, and outputSchema for every API task. |
Pointagram Advanced Features
- Natural Language Action Discovery: Find the right API call by describing your intent in plain English.
- Automated Auth Lifecycle: No local storage of API keys; Membrane manages tokens server-side.
- Dynamic Action Building: Automatically generate new API integrations if the existing library doesn't cover your specific use case.
- Headless Authentication Support: Easy login flow for remote servers and CI/CD environments using Openclaw Skills.
SKILL.md
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