recipe-forward-labeled-emails▌
googleworkspace/cli · updated Apr 8, 2026
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Locate Gmail messages by label and automatically forward them to another recipient.
- ›Requires the gws-gmail skill as a prerequisite dependency
- ›Three-step workflow: search messages by label, retrieve full message content, and forward to a specified email address
- ›Supports custom label queries and preserves original subject and body in forwarded messages
- ›Designed as a recipe for productivity automation within agent workflows
1d:["$","div",null,{"className":"prose prose-invert max-w-none prose-headings:font-semibold prose-headings:tracking-tight prose-h1:text-4xl prose-h1:mb-2 prose-h2:text-2xl prose-h2:mb-2 prose-h3:text-lg prose-h3:mb-2 prose-p:text-muted-foreground prose-li:text-muted-foreground prose-code:bg-muted prose-code:text-foreground prose-code:px-1 prose-code:py-0.5 prose-code:rounded-sm prose-code:text-sm prose-code:before:content-none prose-code:after:content-none prose-pre:bg-muted prose-pre:text-foreground prose-pre:border prose-pre:border-border prose-pre:rounded-md [&_table]:!border-[color:var(--border)] [&_th]:!border-[color:var(--border)] [&_td]:!border-[color:var(--border)]","dangerouslySetInnerHTML":{"__html":"<h1>Forward Labeled Gmail Messages</h1>\n<blockquote>\n<p><strong>PREREQUISITE:</strong> Load the following skills to execute this recipe: <code>gws-gmail</code></p>\n</blockquote>\n<p>Find Gmail messages with a specific label and forward them to another address.</p>\n<h2>Steps</h2>\n<ol>\n<li>Find labeled messages: <code>gws gmail users messages list --params '{"userId": "me", "q": "label:needs-review"}' --format table</code></li>\n<li>Get message content: <code>gws gmail users messages get --params '{"userId": "me", "id": "MSG_ID"}'</code></li>\n<li>Forward via new email: gws gmail +send --to <a href=\"https://github.com/googleworkspace/cli/blob/HEAD/skills/recipe-forward-labeled-emails/mailto:[email protected]\" target=\"_blank\" rel=\"ugc nofollow noopener\">[email protected]</a> --subject 'FW: [Original Subject]' --body 'Forwarding for your review:</li>\n</ol>\n<p>[Original Message Body]'</p>"}}]
How to use recipe-forward-labeled-emails on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add recipe-forward-labeled-emails
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches recipe-forward-labeled-emails from GitHub repository googleworkspace/cli and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate recipe-forward-labeled-emails. Access the skill through slash commands (e.g., /recipe-forward-labeled-emails) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★44 reviews- ★★★★★Valentina Ghosh· Dec 20, 2024
I recommend recipe-forward-labeled-emails for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Maya Srinivasan· Dec 12, 2024
recipe-forward-labeled-emails fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Ganesh Mohane· Dec 8, 2024
recipe-forward-labeled-emails is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Henry Desai· Dec 8, 2024
Keeps context tight: recipe-forward-labeled-emails is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Sakshi Patil· Nov 27, 2024
recipe-forward-labeled-emails fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Chinedu Park· Nov 23, 2024
I recommend recipe-forward-labeled-emails for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Yash Thakker· Nov 19, 2024
Keeps context tight: recipe-forward-labeled-emails is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Ava Kim· Nov 3, 2024
recipe-forward-labeled-emails is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Ava Mensah· Oct 22, 2024
Solid pick for teams standardizing on skills: recipe-forward-labeled-emails is focused, and the summary matches what you get after install.
- ★★★★★Chaitanya Patil· Oct 18, 2024
recipe-forward-labeled-emails has been reliable in day-to-day use. Documentation quality is above average for community skills.
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