Agent skill

recipe-create-gmail-filter

Create a Gmail filter to automatically label, star, or categorize incoming messages.

Google Workspace30,193★ · 1 repos on radarProfile →
claude-codeApache-2.0
Install
npx skills add googleworkspace/cli --skill recipe-create-gmail-filter --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 1 KB
Bundled scripts: none
Version: 0.22.5
Path: skills/recipe-create-gmail-filter/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 30,193
Language: Rust
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Create a Gmail Filter > **PREREQUISITE:** Load the following skills to execute this recipe: `gws-gmail` Create a Gmail filter to automatically label, star, or categorize incoming messages. ## Steps 1. List existing labels: `gws gmail users labels list --params '{"userId": "me"}' --format table` 2. Create a new label: `gws gmail users labels create --params '{"userId": "me"}' --json '{"name": "Receipts"}'` 3. Create a filter: `gws gmail users settings filters create --params '{"userId": "me"}' --json '{"criteria": {"from": "receipts@example.com"}, "action": {"addLabelIds": ["LABEL_ID"], "removeLabelIds": ["INBOX"]}}'` 4. Verify filter: `gws gmail users settings filters list --params '{"userId": "me"}' --format table`

What's inside
Steps it walks through
  1. Steps
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About this skill
What does the recipe-create-gmail-filter skill do?

Create a Gmail filter to automatically label, star, or categorize incoming messages.

How do I install it?

Run `npx skills add googleworkspace/cli --skill recipe-create-gmail-filter --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From googleworkspace/cli, a repository with 30,193 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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