A professional time tracking integration that enables AI agents to manage project hours, employee records, and reporting through a secure, automated interface.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install clockodo
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 clockodo 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 Clockodo?
Clockodo is a comprehensive time tracking and resource management solution designed for businesses to monitor work hours, streamline payroll, and optimize project invoicing. By utilizing Openclaw Skills, developers and AI agents can seamlessly interact with Clockodo data, ensuring accurate project management across various industries.
This skill leverages the Membrane infrastructure to provide a secure bridge to the Clockodo API. It eliminates the complexity of manual authentication by handling credential refreshes and protocol plumbing automatically, allowing for high-level automation of employee entries, project tasks, and team reports.
Clockodo Use Cases
- Automating the creation of time entries based on completed tasks or calendar events.
- Generating real-time project reports and budget summaries for stakeholders.
- Managing employee work hours, breaks, and holiday schedules programmatically.
- Syncing Clockodo data with external invoicing or payroll systems.
- Facilitating team-wide resource planning and task assignment updates.
How Clockodo Works
- Initialize the environment by installing the Membrane CLI and logging in with a specific agent type to optimize tooling.
- Create a secure connection to the Clockodo domain, which triggers an automated OAuth or API key handshake.
- Poll the connection status until it reaches a READY state, indicating authentication is fully established and managed server-side.
- Use natural language intent discovery to search for specific Clockodo actions (e.g., 'start a timer' or 'list projects').
- Execute pre-built actions with JSON parameters or perform direct proxy requests to specific API endpoints while Membrane handles header injection and token refreshing.
Clockodo Setup
Prerequisites
- A valid Membrane account (Free tier supported).
- Network access to the Clockodo API.
Installation
Install the Membrane CLI globally:
npm install -g @membranehq/cli@latest
Authentication
Authenticate your agent (e.g., openclaw) to manage the Openclaw Skills session:
membrane login --tenant --clientName=openclaw
Establish Connection
Connect to Clockodo and follow the browser instructions to complete setup:
membrane connection ensure "https://www.clockodo.com/" --json
Clockodo Data Schema & Taxonomy
The Clockodo skill organizes data into several core entities managed through the Membrane proxy. Below is the primary taxonomy:
| Entity | Description |
|---|---|
| Entry / Entry Group | Individual or grouped time logs associated with tasks. |
| User & Team | Structural data regarding employees and their organizational units. |
| Project & Task | Hierarchical structures for organizing billable and non-billable work. |
| Customer | High-level entities to which projects are assigned. |
| Report | Aggregated data summaries for invoicing and analysis. |
| Working Time Regulation | Compliance-related data including holidays and breaks. |
Clockodo Advanced Features
- Natural Language Action Discovery: Find relevant API functions using intent-based search rather than manual endpoint mapping.
- Automated Credential Refresh: Securely manage long-lived connections without exposing API keys in local environments.
- Transparent Proxy Requests: Directly call the Clockodo API while the system automatically injects headers and base URLs.
- Multi-Agent Optimization: Adjust tooling and responses based on the specific agent type (claude, openclaw, etc.).
- Long-polling Connection Recovery: Built-in wait mechanisms for headless environments to ensure connectivity before execution.
SKILL.md
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