slack

Automate Slack browser interactions to check unread messages and extract conversation data.

Updated Apr 29, 2026
One-click install
npx skills add https://github.com/dev-khoi/conHack-2026 --skill slack-dev-khoi
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: slack
Source: https://github.com/dev-khoi/conHack-2026/tree/main/.opencode/skills/slack
Command: npx skills add https://github.com/dev-khoi/conHack-2026 --skill slack-dev-khoi

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Slack is a central collaboration tool where updates can be missed in busy channels; this skill automates browser-based Slack interactions to check unread messages, navigate channels, search conversations, and extract data for reporting.

Core Features & Use Cases

  • Automates Slack browsing to check unread messages, navigate channels, search conversations, and extract data from Slack.
  • Use cases include generating reports on unread channels, summarizing channel activity, and collecting data from conversations for analysis.
  • Example: A product manager wants a daily Slack activity summary compiled from the workspace.

Quick Start

Connect to a Slack workspace in a browser session and start automating common tasks like checking unread channels.

Frequently Asked Questions about slack

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate Slack workflows to check unread messages in busy channels?

You can automate Slack workflows by using browser automation to navigate channels and check unread messages. This skill controls a headless browser session to interact with the Slack web interface, extracting unread activity data for reporting.

Can I extract data from Slack conversations for daily status summaries?

Yes, you can extract data from Slack conversations to generate daily status summaries. The automation uses robust element snapshotting to capture text from workspace channels, enabling data-driven reporting and channel activity collection.

What is needed to set up browser automation for Slack channel monitoring?

Setting up Slack channel monitoring requires a headless browser controller and active session management. You must connect to a Slack workspace in a browser session to coordinate clicks, navigate channels, and handle potential errors during data extraction.

Does Slack browser automation work for navigating channels and searching conversations?

Slack browser automation works for navigating channels and searching conversations by coordinating clicks within a headless browser session. It applies session management and element snapshotting to extract data from conversations across workspaces.

Are there limitations when using a headless browser to automate Slack interactions?

Limitations of using a headless browser for Slack interactions include potential session management disruptions and element snapshotting errors. Robust error handling is required to manage dynamic page loads and coordinate clicks during channel navigation and text extraction.