A specialized skill for AI agents to interact with Sendook inboxes by reading, searching, replying to, and sending emails.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install sendook
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install sendook using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Sendook Email Skill?
The Sendook Email skill provides a robust interface for AI coding agents to manage email communications directly from their workspace. By integrating this skill into Openclaw Skills, developers can empower agents to monitor specific inboxes for new activity, process incoming messages, and respond to threads with professional formatting. It is built with a focused scope, ensuring agents have the power to communicate without the risk of altering core account settings like domain management or inbox creation.
Sendook Email Skill Use Cases
- Automating customer support by reading and replying to incoming inquiries.
- Sending automated reports or notifications with file attachments.
- Searching historical email threads to retrieve context for specific coding tasks.
- Monitoring specific inboxes for transactional alerts or order updates.
How Sendook Email Skill Works
- The agent authenticates using a secure API key and a dedicated Inbox ID.
- It retrieves a list of messages or threads to identify pending tasks or recent updates.
- For specific messages, the agent fetches the full HTML or plain text content for analysis.
- The agent can then compose new messages or reply to existing threads, including base64 encoded attachments if required.
Sendook Email Skill Setup
Install the skill into your workspace using the following command:
clawhub install sendook-openclaw
You must also install the Sendook Node.js SDK:
npm install @sendook/node
Ensure the following environment variables are configured in your shell or workspace settings:
SENDOOK_API_KEY: Your Sendook API authentication token.SENDOOK_INBOX_ID: The ID of the specific inbox the agent is authorized to use.
Sendook Email Skill Data Schema & Taxonomy
The skill manages data primarily through Message and Thread objects. These structures allow Openclaw Skills to maintain conversation context effectively.
| Attribute | Type | Description |
|---|---|---|
| id | String | Unique identifier for the message (e.g., msg_def456) |
| from | String | The sender's email address |
| subject | String | The email subject line |
| text/html | String | The body content of the message |
| threadId | String | Identifier used to group related messages into a conversation |
| attachments | Array | List of files containing base64 content, name, and contentType |
Sendook Email Skill Advanced Features
- Regex-based search capabilities to filter messages by subject, sender, or body content.
- Full thread retrieval to allow agents to read entire conversation histories in one call.
- Support for multi-part attachments including PDFs, images, and reports.
- Specialized reply endpoint that automatically maintains thread associations and recipient lists.
SKILL.md
Loading
Related Openclaw Skills
Sendook Email Skill for Openclaw
A specialized skill for AI agents to interact with existing Sendook email inboxes for automated messaging and thread management.
GTA Property Investment Report Generator
An automated tool for generating professional property investment financial reports specifically for the Greater Toronto Area.
Switchboard Data Operator
An autonomous operator for designing, simulating, and deploying Switchboard on-demand data feeds and randomness across multiple blockchain ecosystems.
Xiao Fan Ka
An AI personal restaurant assistant that builds taste profiles and cross-validates data from multiple sources for perfect food recommendations.
Big Memory
An advanced context management system that uses structured snapshots to ensure AI agents never lose track of complex coding tasks during context compaction.
Numerai Tournament
Automate participation in the Numerai hedge fund tournament to train models and earn NMR cryptocurrency.
Featured*
