A powerful integration for automating time tracking, project management, and reporting within the TimeBuzzer ecosystem.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install timebuzzer
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 timebuzzer 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 TimeBuzzer?
TimeBuzzer is a specialized time tracking application designed for freelancers and teams to meticulously monitor project hours and improve productivity. By utilizing Openclaw Skills, developers can integrate this functionality directly into their AI workflows, enabling agents to start timers, manage tasks, and retrieve detailed user reports without manual entry.
This skill leverages the Membrane infrastructure to simplify the development process. It abstracts away the complexities of authentication and credential refreshing, providing a streamlined interface for interacting with TimeBuzzer data through a unified CLI. This ensures that your AI agents remain focused on logic and automation rather than the underlying API plumbing.
TimeBuzzer Use Cases
- Automating daily time logs based on calendar events or completed tasks.
- Generating weekly productivity reports for team leads and project managers.
- Starting or stopping running timers via voice commands or chat triggers.
- Synchronizing TimeBuzzer project and task data with external project management tools.
- Retrieving user-specific tracking data for billing and payroll analysis.
How TimeBuzzer Works
- Install the Membrane CLI to establish a bridge between your environment and the TimeBuzzer API.
- Authenticate your session using the CLI, which handles secure token management and refreshes.
- Create a connection to the TimeBuzzer domain to authorize the Openclaw Skills integration.
- Discover available actions such as creating projects or fetching reports using natural language intent.
- Execute specific actions or perform direct proxy requests to manipulate time tracking data programmatically.
TimeBuzzer Setup
To begin using this skill, install the Membrane CLI and authenticate your account using the appropriate agent type:
npm install -g @membranehq/cli@latest
membrane login --tenant --clientName=openclaw
Connect to TimeBuzzer and wait for the connection to be ready:
membrane connection ensure "https://timebuzzer.com/" --json
If the state is BUILDING, poll for readiness to ensure the integration is active:
membrane connection get <id> --wait --json
TimeBuzzer Data Schema & Taxonomy
The skill interacts with several core entities within the TimeBuzzer ecosystem to manage productivity data:
| Entity | Description |
|---|---|
| Timer | Manages the start and end times for specific activities, including running timers. |
| Project | Groups tasks and logs under specific client or internal initiatives. |
| Task | Individual work items associated with projects for granular tracking. |
| Report | Aggregated data representing time spent over specific periods for analysis. |
| User | Metadata regarding the person performing the tracking and their permissions. |
All actions return structured JSON output, including id, name, and inputSchema for easy integration into automated pipelines.
TimeBuzzer Advanced Features
- Transparent credential refresh: Never manually handle expired OAuth tokens or API keys as Membrane manages the full Auth lifecycle.
- Natural language action discovery: Search for capabilities using intents like 'start a timer' or 'fetch reports' to find the right action for the job.
- Direct API Proxy: Access any endpoint on the TimeBuzzer API with automatic header injection and base URL normalization.
- Headless environment support: Complete authentication via URL-based login flows optimized for remote servers and CI/CD pipelines.
- Machine-readable outputs: All commands support a --json flag, making it easy for Openclaw Skills to parse and act on data.
SKILL.md
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