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Himalaya

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ZHangZHengEric
himalaya

CLI to manage emails via IMAP/SMTP. Use `himalaya` to list, read, write, reply, forward, search, and organize emails from the terminal. Supports multiple accounts and message composition with MML (MIME Meta Language).

Overview

PublisherZHangZHengEric
RepositorySage
Skill namehimalaya
Stars
1.2K
Forks
113
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ZHangZHengEric on GitHub. Read the source before you install it.

Installation

Install the Himalaya AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ZHangZHengEric/Sage/tree/main/app/skills/himalaya
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ZHangZHengEric/Sage.git /tmp/Sage
mkdir -p .claude/skills
cp -r /tmp/Sage/app/skills/himalaya .claude/skills/himalaya
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Himalaya in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Himalaya on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Himalaya is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Himalaya Email CLI

Himalaya is a CLI email client that lets you manage emails from the terminal using IMAP, SMTP, Notmuch, or Sendmail backends.

References

  • references/configuration.md (config file setup + IMAP/SMTP authentication)

Prerequisites

  1. Himalaya CLI installed (himalaya --version to verify)
  2. A configuration file at ~/.config/himalaya/config.toml
  3. IMAP/SMTP credentials configured (password stored securely)

Configuration Setup

Run the interactive wizard to set up an account (replace default with any name you want, e.g. gmail, work):

bash
himalaya account configure default

Or create ~/.config/himalaya/config.toml manually:

toml
[accounts.personal]
email = "you@example.com"
display-name = "Your Name"
default = true

backend.type = "imap"
backend.host = "imap.example.com"
backend.port = 993
backend.encryption.type = "tls"
backend.login = "you@example.com"
backend.auth.type = "password"
backend.auth.cmd = "pass show email/imap"  # or use keyring

message.send.backend.type = "smtp"
message.send.backend.host = "smtp.example.com"
message.send.backend.port = 587
message.send.backend.encryption.type = "start-tls"
message.send.backend.login = "you@example.com"
message.send.backend.auth.type = "password"
message.send.backend.auth.cmd = "pass show email/smtp"

If you are using 163 mail account, add backend.extensions.id.send-after-auth = true in the config file to ensure proper functionality.

Common Operations

List Folders

bash
himalaya folder list

List Emails

List emails in INBOX (default):

bash
himalaya envelope list

List emails in a specific folder:

bash
himalaya envelope list --folder "Sent"

List with pagination:

bash
himalaya envelope list --page 1 --page-size 20

If meet with error, try:

bash
himalaya envelope list -f INBOX -s 1

Search Emails

bash
himalaya envelope list from john@example.com subject meeting

Read an Email

Read email by ID (shows plain text):

bash
himalaya message read 42

Export raw MIME:

bash
himalaya message export 42 --full

Send / Compose Emails

Recommended approach: Use template write | template send pipeline for simple emails.

Send a simple email:

bash
export EDITOR=cat
himalaya template write \
  -H "To: recipient@example.com" \
  -H "Subject: Email Subject" \
  "Email body content" | himalaya template send

Send with multiple headers:

bash
export EDITOR=cat
himalaya template write \
  -H "To: recipient@example.com" \
  -H "Cc: cc@example.com" \
  -H "Subject: Email Subject" \
  "Email body content" | himalaya template send

Send with attachments (using Python):

For emails with attachments, use Python's smtplib and email.mime modules:

python
import smtplib
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from email.mime.base import MIMEBase
from email import encoders

msg = MIMEMultipart()
msg['From'] = 'sender@163.com'
msg['To'] = 'recipient@example.com'
msg['Subject'] = 'Email with attachment'

msg.attach(MIMEText('Email body', 'plain'))

# Add attachment
with open('/path/to/file.pdf', 'rb') as f:
    part = MIMEBase('application', 'octet-stream')
    part.set_payload(f.read())
    encoders.encode_base64(part)
    part.add_header('Content-Disposition', 'attachment; filename="file.pdf"')
    msg.attach(part)

server = smtplib.SMTP_SSL('smtp.163.com', 465)
server.login('sender@163.com', 'password')
server.send_message(msg)
server.quit()

⚠️ MML attachment limitations: The template send command with MML format may fail with "cannot parse MML message: empty body" when using multipart/attachments. This is a known issue in himalaya v1.1.0. Use Python approach for attachments.

⚠️ Avoid message write for automation: The himalaya message write command requires interactive TUI selection (Edit/Discard/Quit) and will hang in non-interactive environments.

⚠️ message send limitations: Direct himalaya message send <raw_email> may fail with "cannot send message without a recipient" due to header parsing issues. Use template send instead.

Configuration requirement: Ensure message.send.save-to-folder is set in config.toml to avoid "Folder not exist" errors:

toml
[accounts.163]
# ... other config ...
message.send.save-to-folder = "Sent"

For 163 mail accounts, create the Sent folder first if it doesn't exist:

bash
himalaya folder create Sent

Move/Copy Emails

Move to folder:

bash
himalaya message move 42 "Archive"

Copy to folder:

bash
himalaya message copy 42 "Important"

Delete an Email

bash
himalaya message delete 42

Manage Flags

Add flag:

bash
himalaya flag add 42 --flag seen

Remove flag:

bash
himalaya flag remove 42 --flag seen

Multiple Accounts

List accounts:

bash
himalaya account list

Use a specific account:

bash
himalaya --account work envelope list

Attachments

Save attachments from a message:

bash
himalaya attachment download 42

Save to specific directory:

bash
himalaya attachment download 42 --dir ~/Downloads

Output Formats

Most commands support --output for structured output:

bash
himalaya envelope list --output json
himalaya envelope list --output plain

Debugging

Enable debug logging:

bash
RUST_LOG=debug himalaya envelope list

Full trace with backtrace:

bash
RUST_LOG=trace RUST_BACKTRACE=1 himalaya envelope list

Tips

  • Use himalaya --help or himalaya <command> --help for detailed usage.
  • Message IDs are relative to the current folder; re-list after folder changes.
  • For composing rich emails with attachments, use MML syntax (see references/message-composition.md).
  • Store passwords securely using pass, system keyring, or a command that outputs the password.
  • For automation: Always use template write | template send pipeline with export EDITOR=cat.
  • 163 Mail users: Set backend.extensions.id.send-after-auth = true and message.send.save-to-folder = "Sent" in config.
  • Folder names: Use English folder names (e.g., "Sent" instead of "已发送") for better compatibility.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Himalaya AI skill do?

CLI to manage emails via IMAP/SMTP. Use `himalaya` to list, read, write, reply, forward, search, and organize emails from the terminal. Supports multiple accounts and message composition with MML (MIME Meta Language).

Why use Himalaya on TypingMind?

Because you install it once and use it with any model. Himalaya is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Himalaya in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ZHangZHengEric/Sage/tree/main/app/skills/himalaya. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Himalaya?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Himalaya?

As many as you like. As long as a model supports skills, you can use Himalaya with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Himalaya AI skill free?

Yes. It is published on GitHub by ZHangZHengEric under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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