agentmail

agentmail-to/agentmail-skills · updated Apr 8, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/agentmail-to/agentmail-skills --skill agentmail
0 commentsdiscussion
summary

API-first email platform giving AI agents dedicated inboxes with send, receive, and management capabilities.

  • Supports inbox creation with auto-generated or custom email addresses, message sending/receiving, threaded conversations, and label-based organization
  • Includes attachment handling via Base64 encoding, draft creation for human approval workflows, and message reply functionality
  • Offers multi-tenant isolation through pods for SaaS platforms, with idempotent operations using clien
skill.md

AgentMail SDK

AgentMail is an API-first email platform for AI agents. Install the SDK and initialize the client.

Installation

# TypeScript/Node
npm install agentmail

# Python
pip install agentmail

Setup

import { AgentMailClient } from "agentmail";
const client = new AgentMailClient({ apiKey: "YOUR_API_KEY" });
from agentmail import AgentMail
client = AgentMail(api_key="YOUR_API_KEY")

Inboxes

Create scalable inboxes on-demand. Each inbox has a unique email address.

// Create inbox (auto-generated address)
const autoInbox = await client.inboxes.create();

// Create with custom username and domain
const customInbox = await client.inboxes.create({
  username: "support",
  domain: "yourdomain.com",
});

// List, get, delete
const inboxes = await client.inboxes.list();
const fetchedInbox = await client.inboxes.get({
  inboxId: "[email protected]",
});
await client.inboxes.delete({ inboxId: "[email protected]" });
# Create inbox (auto-generated address)
inbox = client.inboxes.create()

# Create with custom username and domain
inbox = client.inboxes.create(username="support", domain="yourdomain.com")

# List, get, delete
inboxes = client.inboxes.list()
inbox = client.inboxes.get(inbox_id="[email protected]")
client.inboxes.delete(inbox_id="[email protected]")

Messages

Always send both text and html for best deliverability.

// Send message
await client.inboxes.messages.send({
  inboxId: "[email protected]",
  to: "[email protected]",
  subject: "Hello",
  text: "Plain text version",
  html: "<p>HTML version</p>",
  labels: ["outreach"],
});

// Reply to message
await client.inboxes.messages.reply({
  inboxId: "[email protected]",
  messageId: "msg_123",
  text: "Thanks for your email!",
});

// List and get messages
const messages = await client.inboxes.messages.list({
  inboxId: "[email protected]",
});
const message = await client.inboxes.messages.get({
  inboxId: "[email protected]",
  messageId: "msg_123",
});

// Update labels
await client.inboxes.messages.update({
  inboxId: "[email protected]",
  messageId: "msg_123",
  addLabels: ["replied"],
  removeLabels: ["unreplied"],
});
# Send message
client.inboxes.messages.send(
    inbox_id="[email protected]",
    to="[email protected]",
    subject="Hello",
    text="Plain text version",
    html="<p>HTML version</p>",
    labels=["outreach"]
)

# Reply to message
client.inboxes.messages.reply(
    inbox_id="[email protected]",
    message_id="msg_123",
    text="Thanks for your email!"
)

# List and get messages
messages = client.inboxes.messages.list(inbox_id="[email protected]")
message = client.inboxes.messages.get(inbox_id="[email protected]", message_id="msg_123")

# Update labels
client.inboxes.messages.update(
    inbox_id="[email protected]",
    message_id="msg_123",
    add_labels=["replied"],
    remove_labels=["unreplied"]
)

Threads

Threads group related messages in a conversation.

// List threads (with optional label filter)
const threads = await client.inboxes.threads.list({
  inboxId: "[email protected]",
  labels: ["unreplied"],
});

// Get thread details
const thread = await client.inboxes.threads.get({
  inboxId: "[email protected]",
  threadId: "thd_123",
});

// Org-wide thread listing
const allThreads = await client.threads.list();
# List threads (with optional label filter)
threads = client.inboxes.threads.list(inbox_id="[email protected]", labels=["unreplied"])

# Get thread details
thread = client.inboxes.threads.get(inbox_id="[email protected]", thread_id="thd_123")

# Org-wide thread listing
all_threads = client.threads.list()

Attachments

Send attachments with Base64 encoding. Retrieve from messages or threads.

// Send with attachment
const content = Buffer.from(fileBytes).toString("base64"
how to use agentmail

How to use agentmail on Cursor

AI-first code editor with Composer

1

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 agentmail
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/agentmail-to/agentmail-skills --skill agentmail

The skills CLI fetches agentmail from GitHub repository agentmail-to/agentmail-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/agentmail

Reload or restart Cursor to activate agentmail. Access the skill through slash commands (e.g., /agentmail) 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

GET_STARTED →

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. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 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

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.531 reviews
  • Dhruvi Jain· Dec 20, 2024

    agentmail has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Mei Abbas· Dec 16, 2024

    Keeps context tight: agentmail is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Camila Mensah· Dec 12, 2024

    I recommend agentmail for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Maya Rahman· Dec 8, 2024

    agentmail is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Oshnikdeep· Nov 11, 2024

    Keeps context tight: agentmail is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Aarav Ndlovu· Nov 7, 2024

    agentmail has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Aarav Gupta· Nov 3, 2024

    Useful defaults in agentmail — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Mei Martin· Oct 26, 2024

    agentmail fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Meera Bhatia· Oct 22, 2024

    Registry listing for agentmail matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Ganesh Mohane· Oct 2, 2024

    We added agentmail from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

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