A high-performance Toggl Track agent skill designed for token-efficient time tracking and rapid report generation.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install toggl-optimized-v2
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install toggl-optimized-v2 using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Toggl-Optimized is a specialized integration for the Openclaw Skills ecosystem designed to provide seamless access to Toggl Track data. It focuses on performance and cost-efficiency by utilizing direct API v3 calls, which significantly reduces the context window usage for AI agents. This makes it an essential tool for developers who require high-speed access to time tracking data without the overhead of traditional, verbose API wrappers.
By prioritizing direct communication with the Toggl backend, this skill enables AI agents to retrieve, process, and summarize large volumes of time logs quickly. Whether you are managing individual productivity or oversight for a large team, this skill ensures that your data retrieval remains lean and your automation workflows stay responsive.
To integrate this skill into your workflow for Openclaw Skills, follow these installation steps:
export TOGGL_API_TOKEN="your-api-token"
export TOGGL_WORKSPACE_ID="your-workspace-id"
bash scripts/toggl_report.sh <client_name> <start_date> <end_date> json
The skill manages data flow between the Toggl API and your local environment. It utilizes a structured approach to filter and format time tracking information:
| Field | Description |
|---|---|
| API Token | Secure credential for Toggl Track v3 API access. |
| Workspace ID | Unique identifier for the specific Toggl workspace. |
| Client Name | Filter parameter for generating client-specific summaries. |
| Date Range | Start and end dates in YYYY-MM-DD format for data isolation. |
| Format | The output structure, supporting both machine-readable JSON and human-readable PDF. |
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