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Slack

Official
vercel-labs·vlatest·cloud·Apache-2.0

Automates Vercel deployments and provides status updates directly within your Slack workspace via a bot.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add vercel-labs/emulate --skill slack -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

vercel-labs

Matched to the vendor's own GitHub organisation.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned vercel-labs/emulate at 3edeb2d891.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
1 file, 698 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The vercel-labs-slack skill enables AI agents to interact with Slack, allowing them to send messages, respond to events, and manage workflows within Slack channels. It provides a bridge between AI capabilities and real-time team communication.

When to use it

  • Automate notifications or alerts in Slack based on specific triggers or conditions.
  • Integrate AI-powered chatbots into Slack for customer support or internal team assistance.
  • Create custom workflows that involve sending messages, reacting to events, or managing threads within Slack.

Key capabilities

  • Send and receive messages in Slack channels or direct messages.
  • Respond to Slack events such as message posts, reactions, or channel updates.
  • Manage user interactions and maintain context across conversations.

Example prompts

  • "Send a message to the #general channel: 'The deployment is complete.'"
  • "Notify me when someone mentions 'urgent' in any channel."
  • "Create a bot that answers FAQs in our Slack workspace."

Tips & gotchas

  • Ensure your Slack app has the necessary permissions and is properly configured.
  • Be mindful of rate limits imposed by Slack's API to avoid disruptions in message delivery.