A professional-grade Slack integration for AI agents that enables seamless messaging, threading, and workspace search functionality.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install slack-hub-skill
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 slack-hub-skill 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 Slack Hub Skill?
The Slack Hub Skill is a specialized integration designed to bridge the gap between AI agents and team communication workflows. As part of the Openclaw Skills ecosystem, this tool allows your agent to interact with Slack workspaces with the precision of a human user, supporting everything from simple notifications to complex threaded discussions. It ensures that your automated workflows remain connected to your team's primary communication hub.
By leveraging this skill, developers can empower their agents to fetch context from past conversations or report progress in real-time. The integration is built with reliability in mind, featuring native support for Slack's API protocols and robust handling of workspace data within the Openclaw Skills framework.
Slack Hub Skill Use Cases
- Automating status updates and deployment notifications within specific team channels.
- Searching through workspace history to provide the AI agent with historical context for coding tasks.
- Organizing AI-generated feedback into threaded replies to maintain channel cleanliness.
- Programmatically listing and identifying public channels for dynamic message routing.
How Slack Hub Skill Works
- The agent authenticates with the Slack API using a securely stored Bot Token.
- When a communication task is triggered, the agent selects the appropriate tool, such as slack_send or slack_search.
- For messaging, the skill formats the request to include channel IDs and optional thread timestamps to ensure correct placement.
- For information retrieval, the skill queries the workspace index and returns relevant message or file data.
- All operations are monitored by a rate-limit handler to ensure stable performance even in high-volume Openclaw Skills environments.
Slack Hub Skill Setup
To get started, you must obtain a Slack Bot Token (starting with xoxb-) from the Slack API dashboard. Add this token to your environment configuration.
# Add your token to the .env file
SLACK_BOT_TOKEN=xoxb-your-token-here
Ensure your bot has the necessary scopes assigned, such as chat:write, channels:read, and search:read, to fully utilize these Openclaw Skills.
Slack Hub Skill Data Schema & Taxonomy
The Slack Hub Skill organizes interaction data using specific Slack API parameters to ensure delivery accuracy:
| Parameter | Description | Requirement |
|---|---|---|
| target | The destination Channel ID or name (e.g., #general) | Required |
| message | The plaintext or formatted string to be sent | Required |
| thread_ts | The timestamp of a parent message for threading | Optional |
| query | The search terms used to scan messages and files | Required for Search |
| channels | A list of public workspace channels returned by the API | Read-only |
Slack Hub Skill Advanced Features
- Full threading support to keep automated conversations organized and contextual.
- Advanced workspace search capabilities to retrieve both messages and uploaded files.
- Built-in rate-limit handling to manage high-frequency API calls without service interruption.
- Seamless integration with other Openclaw Skills to create multi-step automation pipelines.
SKILL.md
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