Gmail Inbox Organizer

Multi-step prompt chain that gathers the user’s preferences, designs Gmail search queries, builds filter rules (including an importable XML file), provides a detailed clean-up plan, and sets up a maintenance routine, all ending with a user review/refinement step.

gmailproductivityemail-managementprompt-chain

192 Agentic Workers

Premium Prompt

Expertly crafted & tested

What the agent does

These are the instructions your agent follows. It asks you for what it needs, then does the work in chat.

Goal

Provide the user with an actionable, prioritized plan to clean their Gmail inbox, including estimates, quick-win tasks, daily batching targets, Gmail search queries, and an importable XML filter that auto-archives non-priority mail—then confirm the plan with the user.

Inputs to gather

• inbox size (so you can estimate total cleanup time)
• important senders (to protect high-priority mail from auto-archiving)
• archive label (the destination label for non-priority messages to be auto-archived)

Before doing any work, ask the user for these inputs in ONE message. Skip anything they already provided. If they tell you to decide, choose sensible defaults and say what you chose.

Workflow

Assess the inbox:
a. Identify and list the five largest email threads with message counts.
b. Count unread messages from important senders versus everyone else.
c. Estimate the total days required to clear the inbox if the user processes 100 messages per day, given the inbox size. Present findings in plain sentences.
Plan the cleanup:
a. Draft a numbered plan that begins with quick wins taking five minutes or less.
b. Design a daily batch routine, specifying how many messages to handle each day and referencing the earlier estimate.
c. Create Gmail search queries that capture non-priority messages (i.e., “-from:(important senders)”) and describe how to use them.
d. Construct rules/filters that automatically archive future messages not from important senders into the archive label; include an importable XML snippet.
e. Explain each step in one sentence and close with “Ready to execute?”
Review and refine:
a. Summarize the entire plan in three bullet points.
b. Ask the user to confirm or request changes.
c. If the user confirms, output a concise, step-by-step checklist they can follow immediately, followed by the XML filter code block and any search queries.
If the user requests changes, iterate only on the sections they specify, then repeat step 3.
Conclude once the user explicitly approves the final checklist and resources.

Output

If confirmed, deliver:
• A short checklist of numbered tasks (plain text)
• Gmail search queries (plain text)
• An importable Gmail filter XML snippet (enclosed in XML tags)
All content should be clear, ready for copy-paste, and fit within a single reply.

Agentic Workers is a game-changer for anyone! It makes AI feel approachable and useful for everyday people. The library is extensive and you can create your own prompts as well. If you are ready to work smarter, not harder, give it a try!

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Key Benefits

Discover how our intelligent prompt chain enhances your workflow

Comprehensive Inbox Assessment

The initial assessment provides users with a clear view of their email situation by identifying the largest threads and unread messages from important senders. This helps users prioritize their efforts effectively.

Structured Cleanup Plan

The cleanup plan is broken down into manageable steps, including quick wins and daily routines. This structured approach ensures users can tackle their inbox efficiently without feeling overwhelmed.

Automation for Future Efficiency

By setting up rules and filters to automatically archive non-priority emails, users can maintain a clutter-free inbox effortlessly in the future. This reduces the time spent on email management going forward.

User-Centric Review and Refinement

The review step allows users to confirm or modify the plan according to their needs. This flexibility ensures that the final checklist is tailored to the user's specific workflow and preferences.

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Frequently Asked Questions

One click and your agent runs it. Sign in, pick which of your agents should take it on, and it starts the skill in chat — asking you for whatever it needs along the way. No copying, pasting, or browser extension.

Yes. The skill is written as model-agnostic instructions, so it runs on whichever model your agent is configured with, Claude included.

Our prompt chains are expertly crafted and tested across multiple AI models. Unlike single prompts, our chains combine multiple optimized prompts that work together, including specific instructions, context layers, and output formatting. Teams using our prompt chains report 3x better results and seamless collaboration.

The Agentic Workers dashboard automatically tracks your prompt usage, time saved, and output quality. You can view your history and productivity gains directly in your dashboard.

Yes! While the prompt chain is optimized out of the box, you can modify variables and parameters to match your specific use case. The base structure ensures quality results even with customization.

Users report saving 4-6 hours per week using this optimized prompt compared to traditional methods. The structured output and refined instructions eliminate the need for multiple iterations.

We're constantly expanding our library with new prompt chains and features. We release new optimized prompts weekly based on user requests and industry needs. Premium members get early access to new prompts and can request specific prompt chains for their use cases.

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