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Slack Agent

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

Automates Slack workflows, answers questions, and integrates with tools via a customizable Vercel Labs AI agent.

Repository

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/slack-agent-skill --skill slack-agent -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

    Only contacts known or declared hosts: 127.0.0.1.

    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.

    Hosts contacted

    127.0.0.1local

  • 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/slack-agent-skill at d30f784c4b.

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

Commit
d30f784c4b
Manifest
SKILL.md
Scanned
21 files, 4,391 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

This skill enables AI agents to automate Slack workflows and integrate with tools using either the Chat SDK or Bolt for JavaScript frameworks. It provides a guided wizard to help users set up, configure, test, and deploy Slack agents, adapting its guidance based on the project's current state and chosen framework. The skill automatically detects the existing project type (new, partially configured, or fully developed) and guides the user through appropriate setup phases.

When to use it

  • Creating a new Slack agent from scratch.
  • Migrating an existing Bolt for JavaScript project to a Vercel Labs-managed agent.
  • Configuring environment variables and credentials for a Slack app.
  • Setting up local development and testing environments with ngrok tunneling.
  • Deploying a Slack agent to production using Vercel.

Key capabilities

  • Framework Detection: Automatically identifies whether the project uses Chat SDK or Bolt for JavaScript.
  • Guided Wizard: Provides step-by-step instructions through six phases: project setup, plan approval, Slack app customization, environment configuration, local testing, and production deployment.
  • Project State Auto-Detection: Determines the current state of a project (new, configured, tested, deployed) to provide relevant guidance.
  • Custom Implementation Plan Generation: Creates a tailored implementation plan based on user requirements and agent archetypes.
  • Support for Two Frameworks: Offers compatibility with both Chat SDK (recommended for new projects) and Bolt for JavaScript (for existing Bolt projects).

Example prompts

  • /slack-agent - Starts the setup wizard, automatically detecting project state.
  • /slack-agent new - Initiates the project setup phase from scratch.
  • /slack-agent configure - Advances to Phase 2 of the wizard for existing projects.

Tips & gotchas

  • For new projects, carefully read and follow the instructions in ./wizard/1-project-setup.md.
  • The skill requires a choice between Chat SDK and Bolt for JavaScript frameworks; Chat SDK is recommended for new projects.
  • Always approve the generated implementation plan (Phase 1b) before proceeding with project scaffolding.