agentmail-cli▌
agentmail-to/agentmail-skills · updated Apr 30, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
Use the agentmail CLI to send and receive emails programmatically. Requires AGENTMAIL_API_KEY environment variable.
AgentMail CLI
Use the agentmail CLI to send and receive emails programmatically. Requires AGENTMAIL_API_KEY environment variable.
Install
npm install -g agentmail-cli
Core Commands
Inboxes
# Create an inbox
agentmail inboxes create --display-name "My Agent" --username myagent --domain example.com
# List inboxes
agentmail inboxes list
# Get an inbox
agentmail inboxes retrieve --inbox-id <inbox_id>
# Delete an inbox
agentmail inboxes delete --inbox-id <inbox_id>
Send Email
# Send a message from an inbox
agentmail inboxes:messages send --inbox-id <inbox_id> \
--to "[email protected]" \
--subject "Hello" \
--text "Message body"
# Send with HTML
agentmail inboxes:messages send --inbox-id <inbox_id> \
--to "[email protected]" \
--subject "Hello" \
--html "<h1>Hello</h1>"
# Reply to a message
agentmail inboxes:messages reply --inbox-id <inbox_id> --message-id <message_id> \
--text "Reply body"
# Forward a message
agentmail inboxes:messages forward --inbox-id <inbox_id> --message-id <message_id> \
--to "[email protected]"
Read Email
# List messages in an inbox
agentmail inboxes:messages list --inbox-id <inbox_id>
# Get a specific message
agentmail inboxes:messages retrieve --inbox-id <inbox_id> --message-id <message_id>
# List threads
agentmail inboxes:threads list --inbox-id <inbox_id>
# Get a thread
agentmail inboxes:threads retrieve --inbox-id <inbox_id> --thread-id <thread_id>
Drafts
# Create a draft
agentmail inboxes:drafts create --inbox-id <inbox_id> \
--to "[email protected]" \
--subject "Draft" \
--text "Draft body"
# Send a draft
agentmail inboxes:drafts send --inbox-id <inbox_id> --draft-id <draft_id>
Pods
Pods group inboxes together.
# Create a pod
agentmail pods create --name "My Pod"
# Create an inbox in a pod
agentmail pods:inboxes create --pod-id <pod_id> --display-name "Pod Inbox"
# List threads in a pod
agentmail pods:threads list --pod-id <pod_id>
Webhooks
# Create a webhook for new messages
agentmail webhooks create --url "https://example.com/webhook" --event-type message.received
# List webhooks
agentmail webhooks list
Domains
# Add a custom domain
agentmail domains create --domain example.com --feedback-enabled false
# Verify domain DNS
agentmail domains verify --domain-id <domain_id>
# Get DNS records to configure
agentmail domains get-zone-file --domain-id <domain_id>
Global Flags
All commands support: --api-key, --base-url, --environment, --format, --debug.
Output Formats
Use --format to control output: json (default), pretty, yaml, jsonl, raw, explore.
How to use agentmail-cli 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 agentmail-cli
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches agentmail-cli from GitHub repository agentmail-to/agentmail-skills 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 agentmail-cli. Access the skill through slash commands (e.g., /agentmail-cli) 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
4.5★★★★★31 reviews- ★★★★★Liam Perez· Dec 16, 2024
agentmail-cli has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Pratham Ware· Dec 4, 2024
Solid pick for teams standardizing on skills: agentmail-cli is focused, and the summary matches what you get after install.
- ★★★★★Li Khan· Dec 4, 2024
Solid pick for teams standardizing on skills: agentmail-cli is focused, and the summary matches what you get after install.
- ★★★★★Yash Thakker· Nov 23, 2024
We added agentmail-cli from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Aanya Martin· Nov 23, 2024
We added agentmail-cli from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Olivia Dixit· Nov 7, 2024
agentmail-cli fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Zara Malhotra· Oct 26, 2024
We added agentmail-cli from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Dhruvi Jain· Oct 14, 2024
agentmail-cli fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Aditi Garcia· Oct 14, 2024
agentmail-cli fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Amina Choi· Sep 9, 2024
Keeps context tight: agentmail-cli is the kind of skill you can hand to a new teammate without a long onboarding doc.
showing 1-10 of 31