A professional services automation integration that allows AI agents to manage project budgets, time entries, and agency operations via Productive.io.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install productiveio
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 productiveio 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 Productive.io Integration for AI Agents?
The Productive.io skill for Openclaw Skills provides a robust interface for AI agents to interact with a professional services automation (PSA) platform. It allows developers and agency leaders to automate the management of projects, deals, and finances. By utilizing this skill, agents can perform complex operations like tracking time entries, managing project budgets, and updating task priorities without the overhead of manual API configuration.
Built on top of the Membrane framework, this integration ensures that authentication and credential refreshing are handled automatically. This allows your AI agent to focus on executing logic and providing insights into organizational data rather than managing low-level connection plumbing. It is an essential tool for any agency looking to leverage Openclaw Skills for operational efficiency.
Productive.io Integration for AI Agents Use Cases
- Automatically generating reports on project budgets and deal stages.
- Tracking and updating time entries for team members across different projects.
- Managing organization memberships and person profiles programmatically.
- Synchronizing high-priority tasks and project milestones with other agency tools.
- Querying financial data and deal pipelines to assist in agency decision-making.
How Productive.io Integration for AI Agents Works
- The AI agent utilizes the Membrane CLI to establish a secure authenticated session with Productive.io.
- A connection is ensured using a normalized URL, which manages OAuth or API key exchanges server-side.
- The agent searches for specific actions based on natural language intent, such as searching for deals or listing tasks.
- Actions are executed with JSON parameters, and the skill handles all pagination and field mapping.
- For specialized needs, the agent can send direct proxy requests to the Productive.io V2 API with automatically injected authentication headers.
Productive.io Integration for AI Agents Setup
To get started with Productive.io in your Openclaw Skills environment, follow these steps:
# Install the Membrane CLI
npm install -g @membranehq/cli@latest
# Log in and specify your agent type
membrane login --tenant --clientName=openclaw
# Create a connection to Productive.io
membrane connection ensure "https://productive.io/" --json
If the connection state is BUILDING, poll the status:
membrane connection get <connection_id> --wait --json
Productive.io Integration for AI Agents Data Schema & Taxonomy
The skill organizes data around the core entities of the Productive.io PSA. Below are the primary data categories available:
| Category | Description |
|---|---|
| Deals & Budgets | Manages the sales pipeline, deal stages, and associated financial budgets. |
| Projects | Tracks project memberships, status, and project-specific budgeting. |
| Tasks | Handles task priorities, assignments, and work items. |
| People | Manages user profiles, organization memberships, and person data. |
| Time Entries | Contains logs of billable and non-billable hours worked on various projects. |
Productive.io Integration for AI Agents Advanced Features
- Natural Language Intent Discovery: Use the action list command with an intent string to find the best tool for the task.
- Direct API Proxy: Send raw HTTP requests to any Productive.io endpoint while Openclaw Skills manages the security headers.
- Automatic Credential Refresh: Transparent handling of expired tokens ensures long-running agent automations never break.
- Machine-Readable Outputs: Every command supports a --json flag, making it easy for AI agents to parse and use the data in complex workflows.
SKILL.md
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