A powerful AI agent skill for managing ProProfs Project workflows, including tasks, resources, and time tracking through the Membrane framework.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install proprofs-project
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 proprofs-project 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 ProProfs Project Integration?
The ProProfs Project integration for Openclaw Skills enables AI agents to interact directly with cloud-based project management data. By leveraging the Membrane infrastructure, this skill allows agents to plan, track, and execute projects efficiently without manual overhead. It provides a structured interface for managing the entire project lifecycle, from initial task creation to final invoicing.
Designed for developers and teams using Openclaw Skills, this integration removes the complexity of authentication and API maintenance. It acts as a bridge between your AI agent and ProProfs Project, ensuring that project managers can automate routine updates, resource allocation, and progress reporting through simple natural language commands or automated scripts.
ProProfs Project Integration Use Cases
- Automated Task Management: Create, update, or filter project tasks based on team chat or development progress.
- Time Entry Tracking: Log work hours and manage time entries automatically for accurate project accounting.
- Resource Allocation: Query and assign team resources to specific project goals or milestones.
- Project Reporting: Generate summaries of project states, including invoices and client data, for stakeholders.
- Client & Invoice Syncing: Keep project financial data in sync with external CRM or billing systems.
How ProProfs Project Integration Works
- Initialization: The AI agent utilizes the Membrane CLI to establish a secure link with the ProProfs Project environment.
- Authentication: Membrane handles OAuth or API credentialing server-side, providing a connection ID to the agent.
- Intent Discovery: The agent searches for specific actions (e.g., 'create task') using natural language intent via the Openclaw Skills interface.
- Action Execution: The agent runs pre-defined actions or direct API proxy requests to manipulate ProProfs Project data.
- State Management: The skill monitors connection states and handles long-polling for building connections or required client actions.
ProProfs Project Integration Setup
To get started with this integration in your Openclaw Skills environment, install the Membrane CLI and authenticate your agent:
npm install -g @membranehq/cli@latest
membrane login --tenant --clientName=openclaw
Connect your ProProfs Project account:
membrane connection ensure "https://www.proprofsproject.com/" --json
If the connection requires further setup, poll the status:
membrane connection get <id> --wait --json
ProProfs Project Integration Data Schema & Taxonomy
The ProProfs Project skill organizes data around the following core entities:
| Entity | Description |
|---|---|
| Project | The top-level container for all tasks and goals. |
| Task | Individual work items assigned to resources. |
| Resource | Team members or assets assigned to projects. |
| Time Entry | Recorded duration of work performed on tasks. |
| Invoice | Billing records associated with clients and projects. |
| Client | External entities for whom projects are managed. |
All actions return structured JSON objects containing id, name, and entity-specific metadata.
ProProfs Project Integration Advanced Features
- Natural Language Action Discovery: Use the intent-based search to find the most efficient action for a specific task without hardcoding endpoints.
- Direct API Proxying: Send raw requests to any ProProfs Project endpoint with automatic header injection and credential refresh.
- Headless Authentication: Support for CI/CD and remote server environments via code-based login completion.
- Machine-Readable Output: Global
--jsonflag support for seamless integration into complex multi-agent pipelines. - Long-Polling Connections: Built-in
--waitfunctionality for robust asynchronous connection handling.
SKILL.md
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