cleanup-cache
Clean system caches (npm, Homebrew, Yarn, browsers, Python/ML) to free disk space
Apply Gmail labels to matching messages and archive them to keep your inbox clean.
$ npx -y skills add davila7/claude-code-templates --agent claude-codeHow it fires
How this command gets triggered: by you, by Claude, or both.
/recipe-label-and-archive-emailsContext preview
What this command does when you run it.
Apply Gmail labels to matching messages and archive them to keep your inbox clean.
allowed-tools: Bash, Read, Write, Edit argument-hint: [task-parameters] description: Apply Gmail labels to matching messages and archive them to keep your inbox clean.
Execute Google Workspace workflow: $ARGUMENTS
> **PREREQUISITE:** Load the following skills to execute this recipe: `gws-gmail`
Apply Gmail labels to matching messages and archive them to keep your inbox clean.
1. Search for matching emails: `gws gmail users messages list --params '{"userId": "me", "q": "from:notifications@service.com"}' --format table` 2. Apply a label: `gws gmail users messages modify --params '{"userId": "me", "id": "MESSAGE_ID"}' --json '{"addLabelIds": ["LABEL_ID"]}'` 3. Archive (remove from inbox): `gws gmail users messages modify --params '{"userId": "me", "id": "MESSAGE_ID"}' --json '{"removeLabelIds": ["INBOX"]}'`
Execute this workflow with the following parameters: $ARGUMENTS
1. **Prerequisites Check**
2. **Parameter Preparation**
3. **Execute Workflow Steps**
4. **Verify Results**
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**License**: Apache License 2.0 **Source**: [Google Workspace CLI](https://github.com/googleworkspace/cli) **Original Skill**: `recipe-label-and-archive-emails`
Ready-to-use configurations for Anthropic's Claude Code. A comprehensive collection of AI agents, custom commands, settings, hooks, external integrations (MCPs), and project templates to enhance your development workflow.
Repo: davila7/claude-code-templates
Clean system caches (npm, Homebrew, Yarn, browsers, Python/ML) to free disk space
Create an SEO-optimized blog article for a Claude Code component with AI-generated cover image