diegosouzapw Gmail
Overview
This public intake copy packages plugins/antigravity-awesome-skills/skills/gmail-automation from https://github.com/sickn33/antigravity-awesome-skills into the native Omni Skills editorial shape without hiding its origin.
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 the external_source block in metadata.json plus ORIGIN.md as the provenance anchor for review.
Gmail Lightweight Gmail 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: Gmail Query Syntax, Common Label IDs, 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 search, read, or send Gmail messages from the command line without an MCP server.
- You are automating inbox workflows for a Google Workspace account.
- You want a lightweight Gmail integration backed by standalone OAuth scripts.
- Use when the request clearly matches the imported source intent: Lightweight Gmail 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
| Situation | Start here | Why it matters |
|---|---|---|
| First-time use | metadata.json |
Confirms repository, branch, commit, and imported path through the external_source block before touching the copied workflow |
| Provenance review | ORIGIN.md |
Gives reviewers a plain-language audit trail for the imported source |
| Workflow execution | SKILL.md |
Starts with the smallest copied file that materially changes execution |
| Supporting context | SKILL.md |
Adds the next most relevant copied source file without loading the entire package |
| Handoff decision | ## Related Skills |
Helps the operator switch to a stronger native skill when the task drifts |
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.
- 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
- Confirm the user goal, the scope of the imported workflow, and whether this skill is still the right router for the task.
- Read the overview and provenance files before loading any copied upstream support files.
- Load only the references, examples, prompts, or scripts that materially change the outcome for the current request.
- Execute the upstream workflow while keeping provenance and source boundaries explicit in the working notes.
- Validate the result against the upstream expectations and the evidence you can point to in the copied files.
- 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: Gmail Query Syntax
Gmail supports powerful search operators:
| Query | Description |
|---|---|
from:user@example.com |
Emails from a specific sender |
to:user@example.com |
Emails to a specific recipient |
subject:meeting |
Emails with "meeting" in subject |
is:unread |
Unread emails |
is:starred |
Starred emails |
is:important |
Important emails |
has:attachment |
Emails with attachments |
after:2024/01/01 |
Emails after a date |
before:2024/12/31 |
Emails before a date |
newer_than:7d |
Emails from last 7 days |
older_than:1m |
Emails older than 1 month |
label:work |
Emails with a specific label |
in:inbox |
Emails in inbox |
in:sent |
Sent emails |
in:trash |
Trashed emails |
Combine with AND (space), OR, or - (NOT):
python scripts/gmail.py search "from:boss@company.com is:unread newer_than:1d"
python scripts/gmail.py search "subject:urgent OR subject:important"
python scripts/gmail.py search "from:newsletter@example.com -is:starred"
Examples
Example 1: Ask for the upstream workflow directly
Use @gmail-automation-v2 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 @gmail-automation-v2 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 @gmail-automation-v2 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 @gmail-automation-v2 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/gmail.py. Auto-authenticates on first use if not logged in.
Search Emails
# Search with Gmail query syntax
python scripts/gmail.py search "from:someone@example.com is:unread"
# Search recent emails (no query returns all)
python scripts/gmail.py search --limit 20
# Filter by label
python scripts/gmail.py search --label INBOX --limit 10
# Include spam and trash
python scripts/gmail.py search "subject:important" --include-spam-trash
Read Email Content
# Get full message content
python scripts/gmail.py get MESSAGE_ID
# Get just metadata (headers)
python scripts/gmail.py get MESSAGE_ID --format metadata
# Get minimal response (IDs only)
python scripts/gmail.py get MESSAGE_ID --format minimal
Send Emails
# Send a simple email
python scripts/gmail.py send --to "user@example.com" --subject "Hello" --body "Message body"
# Send with CC and BCC
python scripts/gmail.py send --to "user@example.com" --cc "cc@example.com" --bcc "bcc@example.com" \
--subject "Team Update" --body "Update message"
# Send from an alias (must be configured in Gmail settings)
python scripts/gmail.py send --to "user@example.com" --subject "Hello" --body "Message" \
--from "Mile9 Accounts <accounts@mile9.io>"
# Send HTML email
python scripts/gmail.py send --to "user@example.com" --subject "HTML Email" \
--body "<h1>Hello</h1><p>HTML content</p>" --html
Draft Management
# Create a draft
python scripts/gmail.py create-draft --to "user@example.com" --subject "Draft Subject" \
--body "Draft content"
# Send an existing draft
python scripts/gmail.py send-draft DRAFT_ID
Modify Messages (Labels)
# Mark as read (remove UNREAD label)
python scripts/gmail.py modify MESSAGE_ID --remove-label UNREAD
# Mark as unread
python scripts/gmail.py modify MESSAGE_ID --add-label UNREAD
# Archive (remove from INBOX)
python scripts/gmail.py modify MESSAGE_ID --remove-label INBOX
# Star a message
python scripts/gmail.py modify MESSAGE_ID --add-label STARRED
# Unstar a message
python scripts/gmail.py modify MESSAGE_ID --remove-label STARRED
# Mark as important
python scripts/gmail.py modify MESSAGE_ID --add-label IMPORTANT
# Multiple label changes at once
python scripts/gmail.py modify MESSAGE_ID --remove-label UNREAD --add-label STARRED
List Labels
# List all Gmail labels (system and user-created)
python scripts/gmail.py list-labels
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/skills/gmail-automation, fails to mention provenance, or does not use any copied source files at all.
Solution: Re-open metadata.json, ORIGIN.md, and the most relevant copied upstream files. Check the external_source block first, then restate the provenance before continuing.
Problem: The imported workflow feels incomplete during review
Symptoms: Reviewers can see the generated SKILL.md, but they cannot quickly tell which references, examples, or scripts matter for the current task.
Solution: Point at the exact copied references, examples, scripts, or assets that justify the path you took. If the gap is still real, record it in the PR instead of hiding it.
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
@00-andruia-consultant- Use when the work is better handled by that native specialization after this imported skill establishes context.@00-andruia-consultant-v2- Use when the work is better handled by that native specialization after this imported skill establishes context.@10-andruia-skill-smith- Use when the work is better handled by that native specialization after this imported skill establishes context.@10-andruia-skill-smith-v2- 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.
| Resource family | What it gives the reviewer | Example path |
|---|---|---|
references |
copied reference notes, guides, or background material from upstream | references/n/a |
examples |
worked examples or reusable prompts copied from upstream | examples/n/a |
scripts |
upstream helper scripts that change execution or validation | scripts/n/a |
agents |
routing or delegation notes that are genuinely part of the imported package | agents/n/a |
assets |
supporting assets or schemas copied from the source package | assets/n/a |
Imported Reference Notes
Imported: Common Label IDs
| Label | ID |
|---|---|
| Inbox | INBOX |
| Sent | SENT |
| Drafts | DRAFT |
| Spam | SPAM |
| Trash | TRASH |
| Starred | STARRED |
| Important | IMPORTANT |
| Unread | UNREAD |
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: gmail-skill-oauth
Tokens automatically refresh 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.