A zero-dependency Python utility for converting timezones, finding global meeting overlaps, and managing IANA timezone data.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install timezone-toolkit
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 timezone-toolkit using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Timezone Toolkit is a robust utility designed to handle the complexities of global time coordination directly within your AI workflow. As a premier entry among Openclaw Skills, it provides precise conversions across more than 500 IANA timezones and common aliases like EST, PST, and JST without requiring any external dependencies.
Built for Python 3.9+, this skill leverages the built-in zoneinfo module to ensure high performance and accuracy for developers and AI agents alike. Whether you are automating international scheduling or calculating UTC offsets for distributed systems, this tool ensures that temporal data remains consistent and reliable across all your Openclaw Skills integrations.
To integrate this into your Openclaw Skills environment, ensure you have Python 3.9 or higher installed. No pip installations are required.
# Clone your repository containing the skill
# No external dependencies needed
# Verify the installation by listing timezones
python3 scripts/timezone_toolkit.py list --filter UTC
The Timezone Toolkit organizes data based on the IANA Time Zone Database standards. It processes inputs and returns structured temporal data as follows:
| Data Type | Format/Source | Description |
|---|---|---|
| Time Inputs | HH:MM, ISO 8601 | Supports both 12/24 hour clocks and full date-time strings. |
| Timezone Identifiers | IANA / Aliases | Supports 'America/New_York' and common tags like 'EST'. |
| Output Metadata | UTC Offset, DST | Includes boolean flags for DST and numerical offsets from GMT. |
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