time-conversion - SKILL.md Agent Skill

name: time-conversion description: "Tools for time conversions"

Time Conversion Skill

Metadata

Skill Name: time-conversion
Trigger Tag: #time
MCP Server: Time/timezone conversion service
Category: Utility

Description

Provide accurate time and timezone conversions using IANA timezone names. Handles daylight saving time, time zone offsets, and global time coordination.

Capabilities

Convert between timezones
Handle daylight saving time transitions
IANA timezone database support
Current time in multiple zones

Activation

Include #time tag in your prompt to activate this skill.

Usage Examples

Basic Conversion

#time Convert 3 PM EST to Tokyo time

Meeting Scheduling

#time What time is 10 AM New York in London, Tokyo, and Sydney?

Event Planning

#time When is 2026-02-15 00:00 UTC in America/Los_Angeles?

Configuration

MCP server is configured in the .copilot/mcp-config.json.

Environment variables

Use environment variables defined in .copilot/.env.

Connectivity Check

Before taking any action, verify the time conversion MCP server is reachable:

Call get_current_time with timezone UTC as a lightweight probe.
If the call fails or returns an error, immediately stop and report: "Time conversion MCP server is unavailable. Cannot proceed."
Only proceed with the user's request after a successful probe response.

Best Practices

Use IANA timezone names (e.g., Europe/Bratislava, America/New_York, Asia/Tokyo)
UTC offsets (e.g., +05:30) are also accepted but IANA names are preferred for DST accuracy
Consider daylight saving time transitions when scheduling future events
Use for international meeting scheduling across multiple timezones
Verify timezone abbreviations (EST, BST) — prefer IANA names as abbreviations are ambiguous

Limitations

Requires IANA timezone database
Historical timezone changes may not be complete
Future DST changes depend on timezone database updates

GitHub Copilot & LLM Optimization Context

Environment Indicator: You are operating within the GitHub Copilot CLI context. Always leverage native GitHub Copilot capabilities when interacting with codebases.
Model Optimization: This prompt is optimized specifically for Claude Opus 4.5.
- Leverage Claude Opus 4.5's deep comprehension and superior coding accuracy for complex architectural and logical tasks.
- Ensure responses are direct, code-focused, and minimize conversational filler to optimize for developer workflows.