time-conversion

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:

1. Call get_current_time with timezone UTC as a lightweight probe.
2. If the call fails or returns an error, immediately stop and report: "Time conversion MCP server is unavailable. Cannot proceed."
3. 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.