Google Calendar

Overview

This public intake copy packages

plugins/antigravity-awesome-skills-claude/skills/google-calendar-automation

https://github.com/sickn33/antigravity-awesome-skills

Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.

This intake keeps the copied upstream files intact and uses

metadata.json

ORIGIN.md

Google Calendar Lightweight Google Calendar integration with standalone OAuth authentication. No MCP server required. > ⚠️ Requires Google Workspace account. Personal Gmail accounts are not supported.

Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: Date/Time Format, Calendar ID Format, Token Management, Limitations.

When to Use This Skill

Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.

• You need to list, create, inspect, or update Google Calendar events from local scripts.
• The task requires OAuth-backed calendar automation without standing up an MCP server.
• You need quick operational access to calendars, schedules, attendees, or event details in a Workspace environment.
• Use when the request clearly matches the imported source intent: Lightweight Google Calendar integration with standalone OAuth authentication. No MCP server required.
• Use when the operator should preserve upstream workflow detail instead of rewriting the process from scratch.
• Use when provenance needs to stay visible in the answer, PR, or review packet.

Operating Table

metadata.json

ORIGIN.md

SKILL.md

SKILL.md

## Related Skills

Workflow

This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.

1. Authenticate with Google (opens browser): bash python scripts/auth.py login Check authentication status: bash python scripts/auth.py status Logout when needed: bash python scripts/auth.py logout
2. Confirm the user goal, the scope of the imported workflow, and whether this skill is still the right router for the task.
3. Read the overview and provenance files before loading any copied upstream support files.
4. Load only the references, examples, prompts, or scripts that materially change the outcome for the current request.
5. Execute the upstream workflow while keeping provenance and source boundaries explicit in the working notes.
6. Validate the result against the upstream expectations and the evidence you can point to in the copied files.
7. Escalate or hand off to a related skill when the work moves out of this imported workflow's center of gravity.

Imported Workflow Notes

Imported: First-Time Setup

Authenticate with Google (opens browser):

python scripts/auth.py login

Check authentication status:

python scripts/auth.py status

Logout when needed:

python scripts/auth.py logout

Imported: Date/Time Format

All times use ISO 8601 format with timezone:

• UTC:

  2024-01-15T10:30:00Z

• With offset:

  2024-01-15T10:30:00-05:00

  (EST)

Examples

Example 1: Ask for the upstream workflow directly

Use @google-calendar-automation to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.

Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.

Example 2: Ask for a provenance-grounded review

Review @google-calendar-automation against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.

Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.

Example 3: Narrow the copied support files before execution

Use @google-calendar-automation for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.

Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.

Example 4: Build a reviewer packet

Review @google-calendar-automation using the copied upstream files plus provenance, then summarize any gaps before merge.

Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.

Imported Usage Notes

Imported: Commands

All operations via

scripts/gcal.py

List Calendars

python scripts/gcal.py list-calendars

List Events

# List events from primary calendar (default: next 30 days)
python scripts/gcal.py list-events

# List events with specific time range
python scripts/gcal.py list-events --time-min 2024-01-15T00:00:00Z --time-max 2024-01-31T23:59:59Z

# List events from a specific calendar
python scripts/gcal.py list-events --calendar "work@example.com"

# Limit results
python scripts/gcal.py list-events --max-results 10

Get Event Details

python scripts/gcal.py get-event EVENT_ID
python scripts/gcal.py get-event EVENT_ID --calendar "work@example.com"

Create Event

# Basic event
python scripts/gcal.py create-event "Team Meeting" "2024-01-15T10:00:00Z" "2024-01-15T11:00:00Z"

# Event with description and location
python scripts/gcal.py create-event "Team Meeting" "2024-01-15T10:00:00Z" "2024-01-15T11:00:00Z" \
    --description "Weekly sync" --location "Conference Room A"

# Event with attendees
python scripts/gcal.py create-event "Team Meeting" "2024-01-15T10:00:00Z" "2024-01-15T11:00:00Z" \
    --attendees user1@example.com user2@example.com

# Event on specific calendar
python scripts/gcal.py create-event "Meeting" "2024-01-15T10:00:00Z" "2024-01-15T11:00:00Z" \
    --calendar "work@example.com"

Update Event

# Update event title
python scripts/gcal.py update-event EVENT_ID --summary "New Title"

# Update event time
python scripts/gcal.py update-event EVENT_ID --start "2024-01-15T14:00:00Z" --end "2024-01-15T15:00:00Z"

# Update multiple fields
python scripts/gcal.py update-event EVENT_ID \
    --summary "Updated Meeting" --description "New agenda" --location "Room B"

# Update attendees
python scripts/gcal.py update-event EVENT_ID --attendees user1@example.com user3@example.com

Delete Event

python scripts/gcal.py delete-event EVENT_ID
python scripts/gcal.py delete-event EVENT_ID --calendar "work@example.com"

Find Free Time

Find the first available slot for a meeting with specified attendees:

# Find 30-minute slot for yourself
python scripts/gcal.py find-free-time \
    --attendees me \
    --time-min "2024-01-15T09:00:00Z" \
    --time-max "2024-01-15T17:00:00Z" \
    --duration 30

# Find 60-minute slot with multiple attendees
python scripts/gcal.py find-free-time \
    --attendees me user1@example.com user2@example.com \
    --time-min "2024-01-15T09:00:00Z" \
    --time-max "2024-01-19T17:00:00Z" \
    --duration 60

Respond to Event Invitation

# Accept an invitation
python scripts/gcal.py respond-to-event EVENT_ID accepted

# Decline an invitation
python scripts/gcal.py respond-to-event EVENT_ID declined

# Mark as tentative
python scripts/gcal.py respond-to-event EVENT_ID tentative

# Respond without notifying organizer
python scripts/gcal.py respond-to-event EVENT_ID accepted --no-notify

Best Practices

Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.

• Keep the imported skill grounded in the upstream repository; do not invent steps that the source material cannot support.
• Prefer the smallest useful set of support files so the workflow stays auditable and fast to review.
• Keep provenance, source commit, and imported file paths visible in notes and PR descriptions.
• Point directly at the copied upstream files that justify the workflow instead of relying on generic review boilerplate.
• Treat generated examples as scaffolding; adapt them to the concrete task before execution.
• Route to a stronger native skill when architecture, debugging, design, or security concerns become dominant.

Troubleshooting

Problem: The operator skipped the imported context and answered too generically

Symptoms: The result ignores the upstream workflow in

plugins/antigravity-awesome-skills-claude/skills/google-calendar-automation

metadata.json

ORIGIN.md

Problem: The imported workflow feels incomplete during review

Symptoms: Reviewers can see the generated

SKILL.md

Problem: The task drifted into a different specialization

Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better. Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.

Related Skills

• @github-issue-creator

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

• @github-workflow-automation

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

• @gitlab-automation

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

• @gitlab-ci-patterns

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

Additional Resources

Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.

references

references/n/a

examples

examples/n/a

scripts

scripts/n/a

agents

agents/n/a

assets

assets/n/a

Imported Reference Notes

Imported: Calendar ID Format

• Primary calendar: Use

  primary

  or omit the

  --calendar

  flag
• Other calendars: Use the calendar ID from

  list-calendars

  (usually an email address)

Imported: Token Management

Tokens stored securely using the system keyring:

• macOS: Keychain
• Windows: Windows Credential Locker
• Linux: Secret Service API (GNOME Keyring, KDE Wallet, etc.)

Service name:

google-calendar-skill-oauth

Tokens are automatically refreshed when expired using Google's cloud function.

Imported: Limitations

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.