Learn / Self-Learning Gmail Claude Assistant
Self-Learning Mode · 30-min lesson

How to Build a Self-Learning Gmail Assistant with Claude

Build a Claude AI skill that triages your Gmail inbox — sorting important emails, summarizing newsletters, flagging spam — and improves automatically through a feedback loop. No coding required. Watch the recording, follow the exercises, and walk away with a working skill that gets smarter every time you correct it.

30 minHosted by Prasad ThammineniBeginner-friendly · No code required
Pre-class setupOriginally on Maven · Last updated March 17, 2026

What you'll learn in this lesson

Why email is the ideal first AI skill to build, how to design a self-learning feedback loop that improves with every correction, and how to walk away with a working email triage skill you can use immediately.

Why Gmail triage is the perfect first skill

High-volume, pattern-rich, and it improves with feedback — the ideal skill to build and learn from.

How to design a self-learning loop

Build a skill that captures your corrections and gets smarter over time, stored in a preferences file that evolves with you.

Walk away with a working skill

Leave with a ready-to-use Claude skill that sorts, prioritizes, summarizes newsletters, and drafts replies.

Lesson chapters

0:00The email overload problem & virtual assistant analogy
2:45Who is Prasad & what is Agentman
5:26What a skill looks like — anatomy of a SKILL.md
7:56Hands-on: Creating the email triage skill
13:00Other ways to create skills (past work, cloning)
16:00Running the skill: Live email triage demo
20:00The three-layer skill architecture
22:15Multi-skill stacking in marketing & beyond
24:18The future: Skills marketplace & selling expertise
26:05Q&A: Evaluator skills, pricing, versioning

Why email is the best first AI skill to build

Email combines three things: high volume (the average professional gets 121 emails a day), strong pattern-recognition potential, and natural feedback loops that improve accuracy over time. You've built mental patterns over years — what to answer first, what to skim, what to archive — but they live in your head and cost you time every day.

The virtual assistant analogy

Think of hiring a human assistant for the first time. They already know what an important email generally looks like — addressed to you, from a known contact. What they don't know are your preferences: which clients matter most, which newsletters you actually read, how your priorities shift. You teach them through feedback. Early on you correct them daily; after a few weeks they've got it. That's exactly how this skill works.

New to skills and the feedback loop? Start with the Skills Academy — it covers what a skill is, how it learns, and why prompts drift while skills compound.

How to build the self-learning email triage skill

It takes about 10 minutes and no code. You describe what you want in plain English, Claude generates and publishes the skill through the Agentman MCP server, and the feedback loop starts with your first triage session.

1

Set up prerequisites

Create an Agentman account, connect the Skills MCP server, and connect Gmail. Takes ~5 minutes (see pre-class setup below).

2

Prompt Claude to create the skill

Tell it what you want: identify important emails, summarize newsletters, spot spam, and after every run, ask you for detailed feedback.

3

Claude builds and publishes it

It downloads the skill creation guide, validates the structure, creates the skill, and publishes it — all through the MCP server.

4

Run the skill on your inbox

Say "Triage my work email" and watch it load your skill, read your preferences, fetch your inbox, and classify every message.

5

Give feedback to improve it

After each run, tell it what it got wrong — miscategorized emails, new VIP senders, changed priorities. The skill stores your corrections and improves.

Try this prompt in Claude
Using the Agentman Skills MCP server skills creator,
create me an email triage skill that will:

1. Identify important emails
2. Find newsletters, summarize key insights, and archive them
3. Identify spam and unsubscribe
4. After every run, ask me for detailed feedback — which
   drafts needed changes, which emails were miscategorized,
   and any preferences I want updated

Name it: my-email-triage

How the three layers show up in email

The lesson uses the three-layer model from the Skills Academy. Here's how it maps onto an inbox — for the full breakdown and diagram, see the Academy.

Email intelligence layer
Spam detection, newsletter patterns, triage heuristics, response etiquette — portable knowledge that rarely changes.
Personal preferences
Your VIP senders, response style, archive rules, and priorities — layered on top, refined by the feedback loop.
Situational context
Active deals, current projects, this week's priorities — the things you update often.

Why use Agentman's Gmail connector

Claude's native Gmail integration is read-only. Agentman's Gmail MCP server adds the write capabilities a real triage workflow needs — archiving, unsubscribing, creating Google Tasks, and managing multiple accounts.

Feature
Claude native Gmail
Agentman Gmail MCP
Read emails
Yes
Yes
Archive emails
No
Yes
Unsubscribe
No
Yes
Create Google Tasks
No
Yes
Multiple accounts
No
Yes

Key takeaways

Five principles from this lesson apply to every AI skill you build — not just email triage.

1

Skills encode judgment, not just knowledge

The rules, exceptions, and preferences that make your work yours. That’s what separates a skill from a generic prompt.

2

The feedback loop is the superpower

A preferences.md file that accumulates your corrections turns a generic classifier into a personal assistant that improves with every session.

3

Think in three layers

A portable intelligence layer, your personal preferences on top, and the situational context that changes week to week.

4

Skills are portable across AI platforms

What you build works in Claude, ChatGPT, Cursor, and any MCP-compatible tool. Your intelligence layer isn’t locked to one vendor.

5

Everything here applies beyond email

The creation process, the feedback loop, the layered architecture — if you can build an email triage skill, you can build one for any part of your knowledge work.

Pre-class setup

Two steps before you start (~5 minutes)

1

Connect Claude to Agentman Skills

Store your skills centrally and use them across Claude, ChatGPT, and more.

  • Register for a free account at studio.agentman.ai/register
  • In Claude → Settings → Connectors → Custom MCP Connector, add server URL https://skills.agentman.ai/mcp
  • Click Connect, log in, and authorize access to your Agentman account
  • Verify: type list my skills in Claude — if it responds with your account, you're connected
2

Connect Claude to your Gmail

The Agentman Gmail MCP is feature-rich — unsubscribe, labels, tasks, and more.

  • In Claude → Settings → Connectors → Custom MCP Connector, add server URL https://mcp.agentman.ai/gmail/mcp
  • Click Connect to log in
Google verification in progress. When connecting, Google may show a security warning. Click Advanced → "Go to Agentman (unsafe)" → Grant permissions. We're completing Google's verification — it's safe. The walkthrough below shows you how.
Setup walkthrough video

FAQ

Frequently asked questions

What is an AI skill and how is it different from a prompt?
An AI skill is a structured Markdown document that captures your procedures, decision logic, and preferences. Unlike a prompt, which disappears after one conversation, a skill is persistent, reusable, and portable across AI platforms like Claude, ChatGPT, and Cursor. Skills also include auxiliary files like preferences.md that accumulate your corrections over time.
Do I need coding experience to build a self-learning email triage skill?
No coding is required. You create the skill by describing what you want in plain English to Claude. Claude uses the Agentman Skills MCP server to generate, validate, and publish the skill automatically. The entire process takes about 10 minutes.
How does the self-learning feedback loop work?
After each email triage run, Claude asks for your feedback: which emails were miscategorized, which senders should be VIPs, and what priorities changed. These corrections are stored in a preferences.md file attached to your skill. Each time the skill runs, it reads this file and applies your accumulated preferences, improving accuracy over time.
Does this email triage skill work with ChatGPT and other AI tools?
Yes. Skills built on the Agentman platform are portable across any MCP-compatible AI tool, including Claude, ChatGPT, Cursor, and Windsurf. Your skill and its learned preferences transfer between platforms without modification.
Why use Agentman's Gmail connector instead of Claude's built-in Gmail?
Claude's native Gmail connector is read-only. Agentman's Gmail MCP server adds write capabilities essential for real triage: archiving emails, unsubscribing from newsletters, creating Google Tasks from action items, and managing multiple email accounts (work and personal) separately.

Ready to build your own?

Connect the Skills MCP server, create your email triage skill, and experience the feedback loop for yourself.