askill
google-calendar

google-calendarSafety 80Repository

Integrate with Google Calendar for scheduling. Use when you need to: (1) create calendar events, (2) manage schedules and appointments, or (3) automate calendar-based workflows.

159 stars
3.2k downloads
Updated 2/4/2026

Package Files

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SKILL.md

Google Calendar

Integrate with Google Calendar for scheduling. Use when you need to: (1) create calendar events, (2) manage schedules and appointments, or (3) automate calendar-based workflows.

Input

Provide input as JSON:

{
  "event_title": "Title of the calendar event",
  "event_description": "Description or notes for the event",
  "start_datetime": "Event start date and time (e.g., 2024-01-15 14:00)",
  "end_datetime": "Event end date and time (e.g., 2024-01-15 15:00)",
  "attendees": "Email addresses of attendees, separated by commas",
  "location": "Event location (physical address or virtual meeting link)"
}

Execution (Pattern C: Action)

Step 1: Run the Skill and Get Run ID

RESULT=$(refly skill run --id skpi-btib48o2jlex2rw3rs1gfgyx --input '{
  "title": "Project Review Meeting",
  "start_time": "2024-01-15T14:00:00",
  "duration": "60"
}')
RUN_ID=$(echo "$RESULT" | jq -r '.payload.workflowExecutions[0].id')
# RUN_ID is we-xxx format, use this for workflow commands

Step 2: Open Workflow in Browser and Wait for Completion

open "https://refly.ai/workflow/c-b7ypt79w572wlqnldxnrsemv"
refly workflow status "$RUN_ID" --watch --interval 30000

Step 3: Confirm Action Status

# Confirm event created
STATUS=$(refly workflow detail "$RUN_ID" | jq -r '.payload.status')
echo "Action completed with status: $STATUS"

Expected Output

  • Type: API Response
  • Format: JSON event data (event ID, link)
  • Action: Confirm event created successfully

Rules

Follow base skill workflow: ~/.claude/skills/refly/SKILL.md

Install

Download ZIP
Requires askill CLI v1.0+

AI Quality Score

58/100Analyzed 2/20/2026

A moderately structured skill for Google Calendar integration via refly.ai platform. Provides clear input/output schemas and step-by-step execution steps, but is heavily coupled to proprietary tooling (refly CLI) making it essentially an internal automation skill. Missing authentication details, error handling, and the tags don't match the content. The skill has good structure but limited practical value outside the refly ecosystem."

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Metadata

Licenseunknown
Version1.0.0
Updated2/4/2026
Publisherrefly-ai

Tags

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